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Trivago’s Journey From PHP+Melody to Next.js and Typescript

MMS Founder
MMS Vasco Veloso

Article originally posted on InfoQ. Visit InfoQ

Trivago’s platform was built using PHP and their Melody framework. A small number of engineers at Trivago maintained Melody, which was a continuity risk. Melody’s documentation and examples could not be as rich as desired due to a lack of capacity, making engineer onboarding and support much more difficult. Trivago then decided to rewrite its platform on Typescript using Next.js.

To mitigate the risks that developing a home-grown framework such as Melody entails, Trivago engineering had to decide whether to assign more resources to Melody or drop it. They decided to stop using Melody.

Such a platform replacement represents a risk to the business in potentially lost revenue because new features are not introduced during the rewrite period. The project started in 2020 under circumstances that already mitigated that risk.

Another risk is the loss of development team motivation once existing features are ported over, but new features remain on hold. Teams could begin to build new features once the new platform is stable enough, which reduces the risk of motivation loss.

Developer experience, hackathon results and market penetration were the deciding factors in choosing the new technological stack: Next.js with Preact using Typescript. Developers would benefit from having a cleaner code base employing widely used libraries with significant community support.

Many architectural decisions must be made while designing a new platform with new technologies. Agreements must be reached timely and pragmatically to ensure the project’s success. Trivago engineers used a form of architectural decision records that Tom Bartel described as a process based on the following:

  • A decision document where all the relevant facts and viewpoints are collected and organised.
  • A decision owner curates the decision document, prepares the decision meeting, and is responsible for reaching a decision.
  • A decision meeting, where viewpoints are exchanged and discussed, and a decision is made at the end.

One of the most critical learnings in this project was that the team should not grow too quickly. The author noted that experimentations and course changes are easy when a handful of engineers work together; the team size should only rise above five once all crucial decisions are made and the foundations are stable. Doing so prevents communication overhead, frustration and wasted effort.

Being a rewrite, the new system needed to achieve feature parity with the existing platform. The team verified correctness by running both platforms in an A/B manner and comparing some indicators, such as user interaction, revenue generation and search types.

The author adds that the rewrite also brought benefits for the end-users in the form of faster application loading times.

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Open-Source Database Software Market Size, Scope and Forecast | Titan, SQLite, Neo4j …

MMS Founder
MMS RSS

Posted on mongodb google news. Visit mongodb google news

New Jersey, United States – This Open-Source Database Software Market research examines the state and future prospects of the Open-Source Database Software market from the perspectives of competitors, regions, products, and end Applications/industries. The Worldwide Open-Source Database Software market is segmented by product and Application/end industries in this analysis, which also analyses the different players in the global and key regions.

The analysis for the Open-Source Database Software market is included in this report in its entirety. The in-depth secondary research, primary interviews, and internal expert reviews went into the Open-Source Database Software report’s market estimates. These market estimates were taken into account by researching the effects of different social, political, and economic aspects, as well as the present market dynamics, on the growth of the Open-Source Database Software market.

Get Full PDF Sample Copy of Report: (Including Full TOC, List of Tables & Figures, Chart) @ https://www.verifiedmarketresearch.com/download-sample/?rid=59420

Key Players Mentioned in the Open-Source Database Software Market Research Report:

Titan, SQLite, Neo4j, MariaDB, Apache Hive, Couchbase, MongoDB, Redis, MySQL.

The Porter’s Five Forces analysis, which explains the five forces: customer’s bargaining power, distributor’s bargaining power, the threat of substitute products, and degree of competition in the Open-Source Database Software Market, is included in the report along with the market overview, which includes the market dynamics. It describes the different players who make up the market ecosystem, including system integrators, middlemen, and end-users. The competitive environment of the Open-Source Database Software market is another major topic of the report. For enhanced decision-making, the research also provides in-depth details regarding the COVID-19 scenario and its influence on the market.

Open-Source Database Software Market Segmentation:  

Open-Source Database Software Market, By Product

• Cloud Based
• On Premises

Open-Source Database Software Market, By Application

• Small and Medium Enterprises (SMEs)
• Large Enterprises

Inquire for a Discount on this Premium Report @ https://www.verifiedmarketresearch.com/ask-for-discount/?rid=59420

Open-Source Database Software Market Report Scope 

ATTRIBUTES DETAILS
ESTIMATED YEAR 2022
BASE YEAR 2021
FORECAST YEAR 2029
HISTORICAL YEAR 2020
UNIT Value (USD Million/Billion)
SEGMENTS COVERED Types, Applications, End-Users, and more.
REPORT COVERAGE Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, and Trends
BY REGION North America, Europe, Asia Pacific, Latin America, Middle East and Africa
CUSTOMIZATION SCOPE Free report customization (equivalent up to 4 analysts working days) with purchase. Addition or alteration to country, regional & segment scope.

Key questions answered in the report: 

1. Which are the five top players of the Open-Source Database Software market?

2. How will the Open-Source Database Software market change in the next five years?

3. Which product and application will take a lion’s share of the Open-Source Database Software market?

4. What are the drivers and restraints of the Open-Source Database Software market?

5. Which regional market will show the highest growth?

6. What will be the CAGR and size of the Open-Source Database Software market throughout the forecast period?

For More Information or Query or Customization Before Buying, Visit @ https://www.verifiedmarketresearch.com/product/open-source-database-software-market/ 

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About Us: Verified Market Research® 

Verified Market Research® is a leading Global Research and Consulting firm that has been providing advanced analytical research solutions, custom consulting and in-depth data analysis for 10+ years to individuals and companies alike that are looking for accurate, reliable and up to date research data and technical consulting. We offer insights into strategic and growth analyses, Data necessary to achieve corporate goals and help make critical revenue decisions. 

Our research studies help our clients make superior data-driven decisions, understand market forecast, capitalize on future opportunities and optimize efficiency by working as their partner to deliver accurate and valuable information. The industries we cover span over a large spectrum including Technology, Chemicals, Manufacturing, Energy, Food and Beverages, Automotive, Robotics, Packaging, Construction, Mining & Gas. Etc. 

We, at Verified Market Research, assist in understanding holistic market indicating factors and most current and future market trends. Our analysts, with their high expertise in data gathering and governance, utilize industry techniques to collate and examine data at all stages. They are trained to combine modern data collection techniques, superior research methodology, subject expertise and years of collective experience to produce informative and accurate research. 

Having serviced over 5000+ clients, we have provided reliable market research services to more than 100 Global Fortune 500 companies such as Amazon, Dell, IBM, Shell, Exxon Mobil, General Electric, Siemens, Microsoft, Sony and Hitachi. We have co-consulted with some of the world’s leading consulting firms like McKinsey & Company, Boston Consulting Group, Bain and Company for custom research and consulting projects for businesses worldwide. 

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Project Leyden Delays OpenJDK AOT Compiler, Optimizes JIT Compiler Instead

MMS Founder
MMS Karsten Silz

Article originally posted on InfoQ. Visit InfoQ

The goal of Project Leyden is to “address the long-term pain points of Java’s slow startup time, slow time to peak performance, and large footprint.” It wanted to get there “by introducing a concept of static images” to OpenJDK. Static images result from Ahead-of-Time (AOT) compilation to native executables. After two years with no publicly visible activity, Project Leyden pivoted in May 2022 to first optimize Just-in-Time (JIT) compilation. The “resulting optimizations will almost certainly be weaker” than initially planned and reach mainstream Java developers at the end of 2025 at the earliest. Oracle’s Graal project has already achieved Project Leyden’s goal, but at a cost that the project wants to avoid for now.

The Graal project originates in Oracle Labs and is not part of OpenJDK. Its GraalVM Native Image is a Java AOT compiler that produces native executables today. They have four advantages over Java’s JIT compiler: fast startup, lower memory and CPU usage, fewer security vulnerabilities, and smaller file sizes.

But these achievements come at a cost: GraalVM Native Image enforces a so-called closed-world assumption on Java applications that eliminates a whole category of Java applications. Why? Because Java is a dynamic language and gives applications a lot of power at runtime, such as reflections, class loading, or even class construction. And some of these features don’t work in the closed world of GraalVM Native Image. That’s why Project Leyden now wants to “explore a spectrum of constraints, weaker than the closed-world constraint, and discover what optimizations they enable.” Still, Leyden “will likely […] produce fully-static images,” though only “in the long run.”

OpenJDK Has Previously Tried AOT Compilation

Project Leyden is OpenJDK’s second attempt at AOT compilation. The first effort was jaotc with JEP 295, Ahead-of-Time Compilation, delivered in JDK 9 in September 2017. Like GraalVM Native Image, it used the Graal project. Unlike GraalVM Native Image, it was highly unpopular: When Oracle removed jaotc from its Java 16 builds, “no one complained,” Oracle drily noted with JEP 410, Remove the Experimental AOT and JIT Compiler, delivered in JDK 17.

Project Leyden has had an unusual history for an OpenJDK project. Java Language Architect Mark Reinhold proposed it in April 2020 followed by OpenJDK having approved it as a project in June 2020. But the project had shown no visible progress in the two years between that approval and the creation of its mailing list in May 2022. That’s why the project is just starting, focusing “more upon concepts than code” now. Reinhold stated that components such as “the HotSpot JVM, the C2 compiler, application class-data sharing (CDS), and the jlink linking tool” are targets for optimization. Notably missing from that list was CRaC, an OpenJDK project that reduces startup time by loading the Java application state from disk.

A back-of-the-envelope calculation shows possible delivery dates. LTS releases have now outsized importance in Java. Ben Evans, formerly of monitoring company New Relic, announced at Devoxx UK 2022 that “no non-LTS version has ever passed 1% of market share“. This shows that mainstream Java developers only migrate from one Java LTS version to another LTS version.

Since Project Leyden is only now underway, few results will be production-ready in September 2023 for JDK 21, the next LTS release. So mainstream Java developers will likely only see Project Leyden’s first results with the LTS release after that, JDK 25, in September 2025. Based on that assumption, Project Leyden would, at the earliest, deliver AOT compilation to native executables with JDK 29 in September 2027. InfoQ will continue to monitor progress on Project Leyden.

Spring Boot Reacts to Project Leyden

At least some of the features considered for Project Leyden, such as jlink or CRaC, require application framework support to work best. That’s why InfoQ reached out to developers representing Spring Boot, Quarkus and Micronaut for their initial reaction to the Project Leyden announcement.

Spring Framework project lead, Juergen Hoeller, approves of Project Leyden:

Project Leyden is a promising initiative aligned with the general direction that we are taking in Spring Framework 6 and Spring Boot 3.

Hoeller also embraces CRaC for Spring:

CRaC heap snapshots could become a common option for improving the startup time of Spring-based applications. Taking the snapshot at the very end of the application startup phase, there would be hardly any open file or network resources at that point, in alignment with CRaC’s expectations. Spring even resets its common caches at the end of an application context refresh already, clearing startup-related metadata before dynamically repopulating the caches with request-related metadata. In terms of […] the application context specifically reacting to a snapshot event or improving the “snapsafety” of common components, we will certainly try to empower early adopters as far as technically feasible within our Spring Framework 6.x line.

Hoeller thinks that Spring will support jlink and the Java Platform Module System (JPMS) soon:

The current Spring Framework 6.0 milestones do not include module-info descriptors yet. This is on the roadmap for the M6 milestone in September, re-evaluating the module system readiness of the third-party ecosystem as we move on to our 6.0 release candidate phase. With Project Leyden potentially turning jlink into a more powerful and versatile tool, we intend to prepare not only for jlink's current capabilities but also for its further evolution.

Quarkus Reacts to Project Leyden

Quarkus Co-Founder and Co-Lead, Jason Greene, commented on Project Leyden:

We are most excited about the Leyden project’s goal to revise the Java Language Specification to better support static images, native compilation, and other technologies such as JVM checkpointing. Further, we were happy to see closed-world remaining as a likely long-term goal for the project.

Greene embraces CRaC for Quarkus:

Initial support for the CRaC research project was recently contributed to the Quarkus project by the CRaC lead. Since Quarkus performs build-time optimization no matter the run-time target type, you still see considerable savings when running on OpenJDK, not just GraalVM. Adding a checkpointing approach, such as CRaC, on top of OpenJDK further optimizes startup time. It does not bring similar memory savings as native images, but it is an interesting future option for applications that prefer or require JVM execution.

However, Greene is more reluctant about jlink and JPMS in Quarkus:

As of today, jlink only brings benefits to the storage overhead of a JVM-based application (memory overhead and startup time are essentially the same without it). However, the common practice in a container or Kubernetes application is to layer on a standard JVM base image, which already brings further savings than switching all applications to jlink (since each would bundle their own trimmed JVM). In the case of a native image, the fine-grained elements of the JVM are compiled into the image, so jlink is not helpful in this scenario as well. Likewise, with JPMS, Quarkus already has the notion of modularity through Quarkus extensions, allowing you to trim your dependency set to only what you need. The approach Quarkus takes is compatible with the simple flat classpath that most of the Java ecosystem and build tools prefer today. On the cost side, moving to a pure JPMS module model as jlink requires (no auto-modules) would mean a breaking change not just to Quarkus but to many of the libraries Quarkus builds on. Before considering a switch, we’d like to see these factors balance out better. 

Micronaut Reacts to Project Leyden

Sergio del Amo Caballero, Principal Software Engineer at Object Computing, Inc. (OCI), had no official Micronaut Framework statement on Project Leyden. But he pointed to a recent GitHub issue for adding CRaC support in Micronaut.

Caballero also shared a YouTube clip from July 2020 featuring Micronaut creator, Graeme Rocher, commenting on JPMS: Micronaut supports JPMS and publishes module-info files, but has “to balance that with supporting Java 8”. JPMS was added in Java 9, but Micronaut 3.5, the current version, still runs on Java 8.

Conclusion

So far, OpenJDK hasn’t addressed “the long-term pain points of Java’s slow startup time, slow time to peak performance, and large footprint.” First, its jaotc AOT compiler failed to gain traction and was retired. Then Project Leyden set out to standardize native compilation in Java but stalled for two years.

Now that Project Leyen has pivoted to first optimizing JIT compilation, things are looking up: Both Spring and Quarkus embrace CRaC for startup time reduction. But when it comes to smaller Java application sizes, only Micronaut adheres to Project Leyden’s suggestion of using the JPMS. Spring plans to support the JPMS in version 6 by the end of 2022, though the Spring ecosystem may not. And Quarkus currently has no plans to add the JPMS.

Results, in the form of JEPs, from Project Leyden could reach mainstream Java developers by the end of 2025 at the earliest. So at least until then, the combination of the GraalVM Native Image AOT compiler with a framework like Quarkus, Micronaut, or the upcoming Spring Boot 3 remains the best option to avoid “Java’s slow startup time, slow time to peak performance, and large footprint.”

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All about SQL, with SQL cheat sheet that any one can learn | by Avinaba Mukherjee – Medium

MMS Founder
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Posted on nosqlgooglealerts. Visit nosqlgooglealerts

Pic: www.freepik.com

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Amazon shares could nearly triple from here, analyst says – The Bharat Express News

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Posted on mongodb google news. Visit mongodb google news

Text size

Amazon has created what is arguably one of the best growth companies in the world.

Thomas Samson/TBEN via Getty Images

Amazon
Web services might just be the most valuable activity on Earth.

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And the most undervalued.

Clearly, the optimistic view of AWS’s long-term potential is not reflected in the current valuation of

Amazon.co.uk
stock (ticker: AMZN), which has fallen 35% so far this year and more than 40% since its peak in November. Now valued at around $1.1 trillion, Amazon shares have been hurt by a combination of factors that go well beyond general market unease.

The performance of the company’s e-commerce business, which has boomed during the darkest months of the pandemic, has failed to meet investor expectations in recent quarters as some shoppers have returned to physical stores . Amazon has admitted that as it expands resources to meet growing pandemic-era demand, it has overdeveloped its logistics infrastructure and staff, inflating costs. The company continues to face intense regulatory scrutiny while dealing with soaring fuel costs and ongoing battles by unions seeking to organize Amazon’s workforce.

And yet, in the company’s cloud business, Amazon has created what is arguably one of the best growth companies in the world, one that is still in its infancy.

In a 128-page report launching coverage of the cloud industry, analyst Alex Haissl of UK-based research firm Redburn claims that AWS is worth $3 trillion. He’s not as wildly optimistic about

Microsoft
it is

(MSFT) Azure, but still thinks the company is worth $1 trillion, or about half of Microsoft’s current market capitalization.

In the report, Haissl kicked off coverage of Amazon and Microsoft with shopping notes. He sees more limited opportunities for two other key cloud players, taking over the data warehousing and analytics company

Snowflake
(SNOW) with a neutral rating and database software company

MongoDB
(MDB) with a sale. He set target prices of $270 on Amazon (now $109), $370 on Microsoft (which is now $260), $125 on Snowflake (recently around $143), and $190 on MongoDB (well below from its recent price of $277).

On Wednesday, Amazon was up 1.1%, Microsoft up 1.5%, MongoDB down 0.6%, and Snowflake down 0.5%. The


Nasdaq Compound

was flat.

The analyst believes cloud companies can sustain high growth for much longer than the street generally expects, pointing out that his estimates for AWS are on average 20% above consensus for the next five years. At some point, adds Haissl, Amazon could decide to separate AWS from the rest of the company.

“The cloud computing journey has only just begun, a fact that may be hard to believe after a period of strong growth,” he writes. “The cloud is complex, which makes it difficult to get to the bottom of what’s really going on.” He argues that the three major cloud providers—AWS, Azure, and

Alphabet
it is

(GOOGL) Google Cloud Platform: Control the most important cloud service, which is simply storing customer data in raw form.

“Modern cloud architectures have central storage, known as the ‘data lake’,” he explains. “Above the data lake are many connected services, including databases, data warehouses, big data processing, and machine learning, among others. The architecture is flexible and its implementation varies from company to company.

The analyst reports that Amazon’s data lake service, known as S3 (or Simple Storage Service), stores more than 100 trillion data objects, or more than 13,000 on average for each person on the planet. He estimates that S3 alone is a $1.5 trillion company, roughly the current market capitalization of Google’s parent company, Alphabet. Haissl believes S3 can generate over 40% annualized growth through 2030.

He also points out that all three cloud infrastructure providers offer tools in addition to their data lakes to effectively utilize stored information. “The strength of AWS, Azure and GCP,” he says, “is that they have all the tools customers need.”

Haissl also observes that while AWS, Azure, and GCP appear similar on the surface, there are considerable differences under the hood. Amazon and Google have their roots in distributed systems, big data applications, and machine learning. Microsoft’s strength, he says, is in older technologies, like the company’s SQL Server database technology.

As for Snowflake and MongoDB, the Redburn analyst simply sees their opportunities as narrower than Street’s consensus view, especially given that cloud providers control the data lake and offer many applications on top. “Snowflake and MongoDB have their core strength in one area, which limits their ability to build an ecosystem. There are benefits, but the market is probably too optimistic about it,” Haissl writes. significant impact of stock-based compensation on Snowflake and MongoDB.

“The problem is twofold,” writes the analyst. “First, the valuation consideration and how shareholders dilute. Second, the broader implications for the business and cost structure. higher, which has significant implications for the company’s margin potential.

Write to Eric J. Savitz at [email protected]

Article originally posted on mongodb google news. Visit mongodb google news

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The Most Valuable Business on Earth Could Be Hiding Inside Amazon – S.G.E

MMS Founder
MMS RSS

Posted on mongodb google news. Visit mongodb google news


Text size

Amazon has created what is arguably one of the world’s best growth businesses.


Thomas Samson/AFP via Getty Images

Amazon
Web Services just might be the most valuable business on Earth.

And the most undervalued.

Clearly, the optimistic view of the long-term potential of AWS isn’t reflected in the current valuation for

Amazon.com
stock (ticker: AMZN), which has fallen 35% so far this year and more than 40% since its November peak. Now valued at about $1.1 trillion, Amazon shares have been hurt by a combination of factors which go well beyond the general market malaise.

The performance of the company’s e-commerce business, which boomed during the darkest months of the pandemic, has fallen short of investor expectations in recent quarters, as some shoppers returned to physical stores. Amazon has conceded that as it built out resources to respond to soaring pandemic-era demand, it overexpanded its logistics infrastructure and staff, inflating costs. The company continues to face intense regulatory scrutiny while dealing with the spike in fuel costs and contending with ongoing battles from unions looking to organize Amazon’s workforce.

And yet, in the company’s cloud business, Amazon has created what is arguably one of the world’s best growth businesses—one that’s still in its infancy. 

In a 128-page report launching coverage of the cloud sector, analyst Alex Haissl of the U.K.-based research firm Redburn asserts that AWS is worth $3 trillion. He’s not quite as wildly bullish about

Microsoft
’s
(MSFT) Azure, but nonetheless thinks that business is worth $1 trillion, or about half of Microsoft’s current market cap. 

In the report, Haissl launched coverage of both Amazon and Microsoft with Buy ratings. He sees more limited opportunity for two other key players in the cloud business, picking up the data warehousing and analytics company

Snowflake
(SNOW) with a Neutral rating and database software company

MongoDB
(MDB) with a Sell. He set target prices of $270 on Amazon (now $109), $370 on Microsoft (which is now $260), $125 on Snowflake (recently around $143), and $190 on MongoDB (well below its recent $277 price).


In Wednesday trading, Amazon was up 1.1%, Microsoft was 1.5% higher, MongoDB was down 0.6%, and Snowflake was off 0.5%. The


Nasdaq Composite

was flat.

The analyst thinks the cloud companies can sustain high growth for much longer than the Street generally expects, pointing out that his estimates for AWS on average are 20% above consensus for the next five years. At some point, Haissl adds, Amazon could decide to separate AWS from the rest of the company. 

“The journey of cloud computing has only just started, a fact that can be difficult to believe after a period of strong growth,” he writes. “The cloud is complex, which makes it challenging to get to the bottom of what is really going on.” He contends that the three primary cloud providers—AWS, Azure, and

Alphabet
’s
(GOOGL) Google Cloud Platform—control the most important cloud service, which is simply storing customer data in raw form. 

“Modern cloud architectures have central storage, known as ‘data lake,’” he explains. “On top of the data lake are many connected services, including databases, data warehouses, big data processing and machine learning, among others. The architecture is flexible, and its implementation varies among companies.”

The analyst reports that Amazon’s data lake service, known as S3 (or Simple Storage Service), stores more than 100 trillion data objects—more than 13,000 on average for every person on the planet. He estimates that S3 alone is a business worth $1.5 trillion, about the current market cap for Google parent Alphabet. Haissl thinks S3 can generate better than 40% annualized growth through 2030.

He also points out that all three cloud infrastructure providers offer tools on top of their data lakes to effectively use the information stored. “The strength of AWS, Azure and GCP,” he says, “is that they have all the tools customers want.”

Haissl also observes that while AWS, Azure, and GCP appear similar on the surface, there are considerable differences under the hood. Amazon and Google have their roots in distributed systems, big data applications, and machine learning. Microsoft’s strength, he says, is in older technologies, like the company’s SQL server database technology.

As for Snowflake and MongoDB, the Redburn analyst simply sees their opportunities as narrower than the Street consensus view, in particular given that the cloud vendors control the data lake and offer many applications on top. “Snowflake and MongoDB have their core strength in one area, which limits their ability to build an ecosystem. There is upside, but the market is likely too optimistic on it,” Haissl writes. He also has concerns about the large impact of stock-based compensation on both Snowflake and MongoDB.

“The problem is two-fold,” the analyst writes. “Firstly, the valuation consideration and how shareholders get diluted. Secondly, the broader implications for the business and cost structure. In a scenario where the stocks stay low for longer, employees might demand higher salaries, which has far-reaching implications for the margin potential of the business.”


Write to Eric J. Savitz at eric.savitz@barrons.com

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Amazon Shares Could Nearly Triple From Here, One Analyst Says – Barron's

MMS Founder
MMS RSS

Posted on mongodb google news. Visit mongodb google news

Amazon has created what is arguably one of the world’s best growth businesses.


Thomas Samson/AFP via Getty Images



Amazon

Web Services just might be the most valuable business on Earth.

And the most undervalued.

Clearly, the optimistic view of the long-term potential of AWS isn’t reflected in the current valuation for



Amazon.com

stock (ticker: AMZN), which has fallen 35% so far this year and more than 40% since its November peak. Now valued at about $1.1 trillion, Amazon shares have been hurt by a combination of factors which go well beyond the general market malaise.

The performance of the company’s e-commerce business, which boomed during the darkest months of the pandemic, has fallen short of investor expectations in recent quarters, as some shoppers returned to physical stores. Amazon has conceded that as it built out resources to respond to soaring pandemic-era demand, it overexpanded its logistics infrastructure and staff, inflating costs. The company continues to face intense regulatory scrutiny while dealing with the spike in fuel costs and contending with ongoing battles from unions looking to organize Amazon’s workforce.

And yet, in the company’s cloud business, Amazon has created what is arguably one of the world’s best growth businesses—one that’s still in its infancy. 

In a 128-page report launching coverage of the cloud sector, analyst Alex Haissl of the U.K.-based research firm Redburn asserts that AWS is worth $3 trillion. He’s not quite as wildly bullish about



Microsoft
’s

(MSFT) Azure, but nonetheless thinks that business is worth $1 trillion, or about half of Microsoft’s current market cap. 

In the report, Haissl launched coverage of both Amazon and Microsoft with Buy ratings. He sees more limited opportunity for two other key players in the cloud business, picking up the data warehousing and analytics company



Snowflake

(SNOW) with a Neutral rating and database software company



MongoDB

(MDB) with a Sell. He set target prices of $270 on Amazon (now $109), $370 on Microsoft (which is now $260), $125 on Snowflake (recently around $143), and $190 on MongoDB (well below its recent $277 price).

In Wednesday trading, Amazon was up 1.1%, Microsoft was 1.5% higher, MongoDB was down 0.6%, and Snowflake was off 0.5%. The


Nasdaq Composite

was flat.

The analyst thinks the cloud companies can sustain high growth for much longer than the Street generally expects, pointing out that his estimates for AWS on average are 20% above consensus for the next five years. At some point, Haissl adds, Amazon could decide to separate AWS from the rest of the company. 

“The journey of cloud computing has only just started, a fact that can be difficult to believe after a period of strong growth,” he writes. “The cloud is complex, which makes it challenging to get to the bottom of what is really going on.” He contends that the three primary cloud providers—AWS, Azure, and



Alphabet
’s

(GOOGL) Google Cloud Platform—control the most important cloud service, which is simply storing customer data in raw form. 

“Modern cloud architectures have central storage, known as ‘data lake,’” he explains. “On top of the data lake are many connected services, including databases, data warehouses, big data processing and machine learning, among others. The architecture is flexible, and its implementation varies among companies.”

The analyst reports that Amazon’s data lake service, known as S3 (or Simple Storage Service), stores more than 100 trillion data objects—more than 13,000 on average for every person on the planet. He estimates that S3 alone is a business worth $1.5 trillion, about the current market cap for Google parent Alphabet. Haissl thinks S3 can generate better than 40% annualized growth through 2030.

He also points out that all three cloud infrastructure providers offer tools on top of their data lakes to effectively use the information stored. “The strength of AWS, Azure and GCP,” he says, “is that they have all the tools customers want.”

Haissl also observes that while AWS, Azure, and GCP appear similar on the surface, there are considerable differences under the hood. Amazon and Google have their roots in distributed systems, big data applications, and machine learning. Microsoft’s strength, he says, is in older technologies, like the company’s SQL server database technology.

As for Snowflake and MongoDB, the Redburn analyst simply sees their opportunities as narrower than the Street consensus view, in particular given that the cloud vendors control the data lake and offer many applications on top. “Snowflake and MongoDB have their core strength in one area, which limits their ability to build an ecosystem. There is upside, but the market is likely too optimistic on it,” Haissl writes. He also has concerns about the large impact of stock-based compensation on both Snowflake and MongoDB.

“The problem is two-fold,” the analyst writes. “Firstly, the valuation consideration and how shareholders get diluted. Secondly, the broader implications for the business and cost structure. In a scenario where the stocks stay low for longer, employees might demand higher salaries, which has far-reaching implications for the margin potential of the business.”

Write to Eric J. Savitz at eric.savitz@barrons.com

Article originally posted on mongodb google news. Visit mongodb google news

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DataStax launches streaming data platform with backward support for JMS – The Register

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DataStax, the database company built around open-source wide-column Apache Cassandra, has launched a streaming platform as a service with backwards compatibility for messaging standards JMS, MQ, and Kafka.

The fully managed messaging and event streaming service, based on open-source Apache Pulsar, is a streaming technology built for the requirements of high-scale, real-time applications.

But DataStax wanted to help customers get data from their existing messaging platforms, as well as those who migrate to Pulsar, said Chris Latimer, vice president of product management.

He explained that DataStax had created a framework called Starlight, designed as a wire-level API which supports other platforms and protocols. “As part of Astra Streaming, we have Starlight for JMS, Starlight for RabbitMQ, and Starlight for Apache Kafka. So many of the legacy systems that enterprises use today are using JMS. We have essentially said you can take your applications that are using JMS and – without changing any code – you can just point those to Astra Streaming. You can turn those messaging apps in to streaming apps and start capturing and recording all of the event data,” he told The Register.

But customers could still get performance advantages by moving to Pulsar. Research from GigaOm – sponsored by DataStax – found that Pulsar has 35 percent higher performance and up to 81 percent lower three-year cost than Kafka.

“There’s a big cost savings element here because a lot of enterprises invested heavily in JMS in the past,” Latimer said. “For example, we’ve seen several customers that have a server farm of around 4000 VMs that are running JMS. There are big cost savings and architectural simplification benefits for these companies. And at the same time, it really helps to advance that data in motion, the real-time data strategy that most of these enterprises are pursuing right now.”

Astra Streaming also supports a unified event fabric across on-premises systems and those in the cloud and edge. It also ships with connectors to move messaging data to streaming analytics and machine learning systems.

Amy Machado, IDC streaming data pipeline research manager, said continuously processing streams of data is imperative for enterprises to optimize decisions, actions, and experiences.

“DataStax delivers a unique cloud-native architecture that can manage both streaming data-in-motion and operational data-at-rest so enterprises can get value in real-time from all of their data,” she said. ®

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TigerGraph updates TigerGraph Cloud with new security and productivity features – SiliconANGLE

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TigerGraph Inc. today introduced a new version of TigerGraph Cloud, its managed graph database service, that will enable companies to extract insights from their data more easily and securely.

Redwood City, California-based TigerGraph is a database startup backed by more than $170 million in funding. Its customers include major enterprises such as Microsoft Corp. and JPMorgan Chase & Co.

TigerGraph Cloud, the service that TigerGraph updated today, is a managed graph database. A graph database is a specialized type of database that can perform certain tasks more efficiently than relational and NoSQL systems. Thanks to its efficiency, the technology is gaining significant traction in the enterprise.

There are situations where a database must store not only business records but also information on how those records are connected to one another. For example, a sales database might highlight if two sales logs were created at the same store. Such contextual information about the connections between business records is valuable for a variety of analytics use cases.

Historically, connections between records were difficult to analyze. Relational and NoSQL databases don’t always provide a simple way to identify if two data points might be linked in some way. As a result, finding connections between data points requires a significant amount of processing power, which makes analysis difficult.

Graph databases such as TigerGraph Cloud simplify the task. A graph database stores records and the connections between those records in a form that makes it possible to rapidly carry out analyses. As a result, the technology can significantly speed up applications that require the ability to map out connections between data points.

Graph databases are used in a variety of areas. Companies rely on the technology to power machine learning applications, cybersecurity tools and many other types of workloads.

The first set of features that TigerGraph Cloud introduced for TigerGraph Cloud today focuses on helping companies improve data security. In particular, the features will make it possible to more efficiently manage how users access a company’s TigerGraph Cloud deployment.

The new version of the database service enables administrators to centrally manage which user can access what parts of a database and how. Additionally, TigerGraph is adding the ability to connect to TigerGraph Cloud databases using a private network link. A private network link is a connection that is isolated from the internet to a certain degree and thereby reduces the risk of cyberattacks.

There are situations where a developer may work on multiple software projects that all involve a TigerGraph Cloud graph database environment. For such users, TigerGraph is rolling a streamlined login interface that will make it easier to switch between projects.

“Graph is a critical technology for improved business insights from ML and AI and we want to make it so easy to access and use that anyone can do it,” said TigerGraph founder and Chief Executive Officer Yu Xu. “The TigerGraph Cloud capabilities we announced today make it easy for enterprises to adopt graph technologies and answer critical business questions in the most collaborative way possible.”

As part of today’s update, the startup is also expanding its support for the major public cloud platforms. TigerGraph Cloud can now be deployed in more cloud data centers throughout Brazil, Singapore and Australia. Additionally, TigerGraph is making the free version of the database service available on Microsoft’s Azure platform. 

Image: TigerGraph

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Check Out What Whales Are Doing With MDB – Benzinga

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A whale with a lot of money to spend has taken a noticeably bearish stance on MongoDB.

Looking at options history for MongoDB MDB we detected 12 strange trades.

If we consider the specifics of each trade, it is accurate to state that 25% of the investors opened trades with bullish expectations and 75% with bearish.

From the overall spotted trades, 6 are puts, for a total amount of $205,079 and 6, calls, for a total amount of $452,011.

What’s The Price Target?

Taking into account the Volume and Open Interest on these contracts, it appears that whales have been targeting a price range from $200.0 to $520.0 for MongoDB over the last 3 months.

Volume & Open Interest Development

Looking at the volume and open interest is an insightful way to conduct due diligence on a stock.

This data can help you track the liquidity and interest for MongoDB’s options for a given strike price.

Below, we can observe the evolution of the volume and open interest of calls and puts, respectively, for all of MongoDB’s whale activity within a strike price range from $200.0 to $520.0 in the last 30 days.

MongoDB Option Volume And Open Interest Over Last 30 Days

Biggest Options Spotted:

Symbol PUT/CALL Trade Type Sentiment Exp. Date Strike Price Total Trade Price Open Interest Volume
MDB CALL SWEEP BEARISH 07/08/22 $300.00 $209.0K 71 906
MDB CALL SWEEP NEUTRAL 07/15/22 $200.00 $73.0K 132 10
MDB CALL SWEEP BEARISH 07/08/22 $300.00 $62.4K 71 160
MDB PUT TRADE BEARISH 07/08/22 $265.00 $53.0K 8 51
MDB CALL TRADE BULLISH 07/15/22 $200.00 $43.6K 132 12
Symbol PUT/CALL Trade Type Sentiment Exp. Date Strike Price Total Trade Price Open Interest Volume
MDB CALL SWEEP BEARISH 07/08/22 $300.00 $209.0K 71 906
MDB CALL SWEEP NEUTRAL 07/15/22 $200.00 $73.0K 132 10
MDB CALL SWEEP BEARISH 07/08/22 $300.00 $62.4K 71 160
MDB PUT TRADE BEARISH 07/08/22 $265.00 $53.0K 8 51
MDB CALL TRADE BULLISH 07/15/22 $200.00 $43.6K 132 12

Where Is MongoDB Standing Right Now?

  • With a volume of 526,236, the price of MDB is down -2.5% at $271.39.
  • RSI indicators hint that the underlying stock may be approaching overbought.
  • Next earnings are expected to be released in 64 days.

What The Experts Say On MongoDB:

  • Needham has decided to maintain their Buy rating on MongoDB, which currently sits at a price target of $350.
  • RBC Capital has decided to maintain their Outperform rating on MongoDB, which currently sits at a price target of $375.
  • Canaccord Genuity has decided to maintain their Buy rating on MongoDB, which currently sits at a price target of $300.
  • Stifel has decided to maintain their Buy rating on MongoDB, which currently sits at a price target of $340.
  • Citigroup has decided to maintain their Buy rating on MongoDB, which currently sits at a price target of $405.

Options are a riskier asset compared to just trading the stock, but they have higher profit potential. Serious options traders manage this risk by educating themselves daily, scaling in and out of trades, following more than one indicator, and following the markets closely.

If you want to stay updated on the latest options trades for MongoDB, Benzinga Pro gives you real-time options trades alerts.

Article originally posted on mongodb google news. Visit mongodb google news

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