Month: June 2023

Article originally posted on InfoQ. Visit InfoQ

The latest JBang release provides a preview of Java 21 and more integration with the OpenAI plugin via the quickstart port to Java. JBang has also recently introduced the integration of ChatGPT via the CLI, allowing developers to create JBang scripts using ChatGPT.

JBang is a lightweight Java-based scripting tool that allows developers to write and run Java code directly from the command line without requiring an entire Java project or compilation steps. It was developed to simplify the execution of Java code more interactively and conveniently, similar to languages like Python.

Java developers can now execute Java code with JBang using the upcoming release of Java 21, scheduled for September 19, 2023. Furthermore, developers can also request via CLI to generate code with OpenAI’s ChatGPT or even create plugins in Java for ChatGPT.

To use JBang with Java 21 preview features, simply run the following command:

$ jbang --java 21 --enable-preview -c 'print(STR."First arg is {args[0]}!")' JBang

The command will download the early-access release of OpenJDK 21 in case there isn’t one on the system. Furthermore, it will allow Java developers to use the preview features like String templates.

The enhancements introduced also bring some exciting ergonomics, e.g., a developer doesn’t necessarily need to figure out all the intrinsic details of an API. In the following example, the command creates Java code that takes an image, adds text, and then writes it to the filesystem. Usually, anyone learning OpenCV in Java would need to know the intrinsic details of image processing and its components and concepts to understand dependencies before even beginning to write any code.

$ jbang --preview --verbose init ImageProcessor.java "Write a Java program that processes an input image https://shaaf.dev/images/testImage.jpg and add text Hello world on it using OpenCV to produce an output image called output.png"

In the above command:

• The --preview argument for using preview features, e.g., ChatGPT
• The init ImageProcessor.java argument will create a new ImageProcessor.java file in the directory where the command executes.
• The text “Write…” requests to create a Java program that uses OpenCV.

Other mundane tasks, for example calling a REST API via a Java Client and showing the results, have become single-line commands.

$ jbang init jokes.java "print a random chuck norris joke fetched from the API service providing free jokes API."

$ jbang jokes.java

Or to fetch information and process it further:

$ jbang --verbose init gh.java "connect to GitHub and fetch all repositories under jbang and collect how many stars they have"

In conjunction with the 0.107.0 release, Max Anderson, a distinguished engineer at Red Hat and creator of JBang, also introduced a port for the OpenAI plugin Quickstart, allowing users to write plugins for ChatGPT and test them locally with JBang.

InfoQ spoke to Max Andersen on this release and the future of Java and AI.

InfoQ: What does JBang integration to OpenAI’s ChatGPT bring to the Java community?

Andersen: JBang today has default templates for creating a starting Java project. However, one still needs to know their names and what they do; secondly, they are limited. With JBang OpenAI support, you can use natural language to outline your ideas and wishes and get a good starting point. This is much faster than doing a web search to try and collect all the required components. Since JBang has always been about reducing the ceremony around Java projects, this was a natural extension of JBang. It’s a great “cure” against writer’s block – it lets me get started. It lets anyone get started with Java as a newbie or as an expert and lets you try new things.

InfoQ: Does the Java community need more integration into Artificial Intelligence libraries and tools?

Andersen: Python is dominant in the data modeling and processing parts of Artificial Intelligence – and for a good reason, as Python is very good as a data manipulation DSL. However, Java can shine in being used to do things way more efficiently and utilize the models coming out of AI. In this case, loading models using native code or even, in the future, pure Java would be helpful.There is also a lot of cross-pollination from which the Java and Python ecosystems could benefit. For example, I recently realized that Jupyter Notebooks could be used as a basis for Java/JBang tutorials.

InfoQ: Are there any specific features or integrations you are working on for AI?

Andersen: For JBang itself, similar to what was done with the jbang init command, I haven’t explored much more yet, besides upgrading it to GPT-4 instead of GPT-3. I’ve used OpenAI in a Quarkus CLI command called quarkus explain that allows you to use OpenAI in a project and ask it to explain individual files, whether that is .java, pom.xml, or an application.properties file. It works remarkably well.

InfoQ: What’s next for JBang and Artificial Intelligence?

Andersen: I used JBang to make an OpenAI plugin using Quarkus: I was quite pleased seeing that it reduces the code by about 30-40% compared to similar Python code. I want to use the JBang approach to illustrate Java is not as verbose and complex as many think. Java has matured a lot since the early 2010s.

Java and Artificial Intelligence (AI) are becoming better integrated, and Java core is moving in a direction that further supports some of these ideas. The recent inclusion of the Foreign Function & Memory API (Third Preview) and the Vector API (Sixth Incubator) is a step towards integrating with other libraries and enabling further innovation in this space.

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Unsurprisingly, GitLab GTLB posted a solid quarter and guided the market higher. The company has been gaining traction, and results from MongoDB MDB foreshadowed the news. MongoDB said that it was well-positioned to benefit from the rise of AI because of its developer tools, including interoperability with Gitlab. What is surprising is that GitLab’s shares surged 30% in premarket trading. The move was largely driven by short-covering, and short sellers may continue influencing the market. The takeaway is that GitLab shares have finally hit bottom, and the time to “git” on board will be soon at hand. With an addressable market of $40 billion and GitLab with less than $0.5 billion in annual revenue, inventors have quite an opportunity.

“With AI revolutionizing how companies develop, secure, and operate software, we believe GitLab is positioned as the leading AI-powered DevSecOps platform,” said Sid Sijbrandij, GitLab CEO and Co-Founder. “Today, we deliver more AI-powered capabilities to customers than any other DevSecOps platform.

GitLab Raises The Roof For Revenue And Earnings 

GitLab had a strong quarter with revenue of $126.88 million, growing 45.2% compared to last year and outpacing consensus by 760 basis points. The gains were driven by growth in clients of all sizes, with those contributing more than $5K in ARR growing by 43% and those contributing more than $100K in ARR by 39%. This is compounded by a 128% net retention rate showing deepening penetration of existing customers as clients rely more heavily on GitLab services. 

The margin news is also impressive. The gross margin was relatively flat compared to last year and strong at 89% GAAP and 91% adjusted. The impressive news is that the operating margin improved by 1700 basis points due to reprioritization to focus on customer needs and internal efficiencies. The takeaway is that adjusted EPS of -$0.06 narrowed sharply compared to the prior quarter and year, beating the Marketbeat.com consensus by $0.08 or 5700 basis points. 

The best news is that business momentum continues to build, and the guidance was raised because of it. The company expects Q2 and FY 2024 revenue and earnings in a range with the low ends above the consensus figures. This is robust guidance and may be cautious, given the appetite for AI development in the economy. Investors might assume the guidance will be increased later this year, which would be another catalyst for higher share prices.

The Sell-Side Put A Bottom In GitLab 

No analysts issued an update immediately after the Q1 results. Still, the trend in sentiment leading into the report andtheinstitutional activity is consistent with a bottom forming in the market. On the analyst end, they have the stock pegged firmly at Moderate Buy, and the price target appears to have bottomed. On the institutional end, their activity is strongly bullish, with buyers outpacing sellers every quarter since the IPO and activity in 2023 has picked up. They own about 50% of the stock and buy at a rate greater than 3:1 versus sellers. 

The chart favors a bottom at the $30level. That is consistent with post-IPO lows and is confirmed by the post-Q1 2024 EPS release. The short interest may cause volatility in the near term, but that should give way to a sustained rally, given the outlook for revenue growth and profitability. If the stock can rise from these levels, the next target for resistance is near the analysts’ consensus of $56.60, about 20% above the action. 

The article “It Is Not Too Late To “Git” On Board With GitLab ” first appeared on MarketBeat.

Image by Pankaj Patel on Unsplash

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

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”

Two of the most significant factors driving the expansion of the global Operational Database Management market are the occurrence of significant flaws in an organization’s network design and the demands imposed by governments. The development of the global Operational Database Management sector is being fueled by both of these factors. Businesses may find it advantageous to use the term Operational Database Management as it allows them to set stringent requirements and ensure reliable protection across all organizational vertices. However, due to the higher costs involved in implementing a system based on Operational Database Managements, smaller businesses may be discouraged from doing so. However, the increased risks associated with data breaches may persuade many businesses to prioritize the adoption of improved Operational Database Management systems.

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Modern technologies like machine learning and artificial intelligence are being incorporated into Operational Database Management systems, which is another factor boosting the growth of the global market for Operational Database Managements. A further factor influencing this expansion is the integration of these solutions, as their absence can lead to significant financial losses. IoT and cloud computing adoption trends are two additional factors influencing this expansion. Additionally, the global market for Operational Database Managements is being significantly influenced by an increase in vulnerabilities as well as strict regulatory requirements and data privacy compliances.

The term Operational Database Management has become a more crucial part of the security infrastructure of commercial enterprises over the past few years. The likelihood of a network’s security being compromised is rising, which has a big impact on the global Operational Database Management market. Businesses are putting more of an emphasis on creating powerful Operational Database Management strategies to boost their operations’ malware intelligence, risk management, and data security to better protect the data they store. As a direct result of the increasing number of security challenges that businesses must deal with, it is predicted that the global market for Operational Database Managements will grow at a breakneck pace.

Key Players in the Operational Database Management market:

Oracle
Microsoft
SAP
IBM
Intersystems Corporation
Mongodb
Marklogic
Neo Technologies
Mariadb Corporation
Aerospike
Datastax

In order to lower risk and maintain awareness of security regulations, businesses use the term Operational Database Management. Through the use of security and vulnerability management (SVM), security solutions can be implemented in a simpler, more straightforward, and more affordable manner. This is accomplished by enhancing automation—a feature of security—while also minimizing processing time and achieving high levels of accuracy. The main benefits to society provided by the security and vulnerability sector primarily involve the identification and elimination of potential threats.

Organization size, industry vertical, deployment model, and target are the basic categories into which the global market for solutions based on the Operational Database Management can be divided. Large enterprises, medium and small enterprises, and major businesses are the three distinct submarkets that make up this market based on the size of the organizations that make up this industry sector. According to the various deployment models used by the businesses operating within this market, this market can be divided into on-premise and cloud-based categories. Here are a few examples of industry verticals that could be applied to this market in order to categorize it: BFSI, retail and e-commerce, utilities, healthcare, manufacturing, the public sector and the government, among other industries.

Operational Database Management market Segmentation by Type:

Hardware
Software

Operational Database Management market Segmentation by Application:

Data Formatting
Data Validation
Error Tracking

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Geographically speaking, it appears likely that the region of North America will provide the majority of the total. The early adoption of Operational Database Management and the availability of a wide range of suppliers offering Operational Database Management solutions are both expected to play a significant role in the market’s expansion in this area. Businesses in this region are increasingly looking for Operational Database Management solutions to ensure the smooth operation of their operations. These technologies support data security, safeguard users’ rights to data secrecy and privacy, and guard against cyberattacks and industrial espionage.

Significant growth is being seen in the global Operational Database Management market, and it is anticipated that this growth will continue in the upcoming years. Buyers should think about purchasing this thorough market report if they want to make wise business decisions and stay ahead of the competition. First, a thorough analysis of the current market trends is given in this report, along with information on the market’s size, rate of growth, and major drivers and inhibitors. It provides insightful information about the competitive environment by highlighting the key players and their tactics. Buyers can develop powerful marketing and sales strategies to gain a competitive edge by comprehending the market dynamics. Furthermore, the report offers a comprehensive analysis of the various Operational Database Management market segments, including product categories, market segments, and geographic regions. Buyers who want to target particular customer segments can do so by using this segmentation analysis to find the most lucrative opportunities. Buyers can optimize their distribution and production strategies by using this information to better understand demand and supply patterns.

This report does a thorough analysis of the market’s regional environment. It offers perceptions into the market circumstances and potential growth prospects in various parts of the world. Understanding regional dynamics enables buyers to spot emerging markets and adjust the scope of their business operations. Additionally, the report offers a comprehensive analysis of the market environment, which covers company profiles, positioning strategy, and latest developments. By comparing their own products to those of leaders in the market, buyers can gain insightful knowledge about the tactics used by major market players. With the aid of this information, buyers can make more informed strategic decisions and build reliable alliances and partnerships.

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The report also has a section on market trends and cutting-edge technology. The most recent developments in the Operational Database Management market, including product innovations, technological advancements, and industry partnerships, are discussed. The information provided by buyers can be used to stay current on industry trends and implement creative strategies to improve their product offerings. The report also features a thorough SWOT analysis and an analysis of the viability of investments. Buyers can gain a comprehensive understanding of the market’s advantages, disadvantages, opportunities, and threats thanks to these analyses. They can assess the market’s growth potential and make wise investment decisions thanks to it. This market research study on the global Operational Database Management industry provides insightful analysis that can help clients make wise business decisions. Purchasers can position themselves as market leaders and achieve sustainable growth by comprehending market dynamics, spotting growth opportunities, and keeping up with current trends. Buyers should therefore, without a doubt, think about investing in this in-depth market report if they want to stay ahead in the cutthroat Operational Database Management market.

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

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MongoDB Inc. (NASDAQ:MDB) price on Thursday, June 08, rose 0.92% above its previous day’s close as an upside momentum from buyers pushed the stock’s value to $371.96.

A look at the stock’s price movement, the level at last check in today’s session was $368.56, moving within a range at $366.11 and $391.886. Turning to its 52-week performance, $398.89 and $135.15 were the 52-week high and 52-week low respectively. Overall, MDB moved 48.62% over the past month.

MongoDB Inc.’s market cap currently stands at around $20.31 billion, with investors looking forward to this quarter’s earnings report slated for Aug 29, 2023 – Sep 04, 2023. Analysts project the company’s earnings per share (EPS) to be $0.45, which has seen fiscal year 2024 EPS growth forecast to increase to $1.51 and about $2.08 for fiscal year 2025. Per the data, EPS growth is expected to be 86.40% for 2023 and 37.70% for the next financial year.

Analysts have a consensus estimate of $392.25 million for the company’s revenue for the quarter, with a low and high estimate of $388 million and $410 million respectively. The average forecast suggests up to a 29.20% growth in sales growth compared to quarterly growth in the same period last fiscal year. Wall Street analysts have also projected the company’s year-on-year revenue for 2024 to grow to $1.55 billion, representing a 20.50% jump on that reported in the last financial year.

Revisions could be used as tool to get short term price movement insight, and for the company that in the past seven days was 18 upward and no downward review(s). Turning to the stock’s technical picture we see that short term indicators suggest on average that MDB is a 100% Buy. On the other hand, the stock is on average a 100% Buy as suggested by medium term indicators while long term indicators are putting the stock in 100% Buy category.

26 analyst(s) have given their forecast ratings for the stock on a scale of 1.00-5.00 for a strong buy to strong sell recommendation. A total of 3 analyst(s) rate the stock as a Hold, 18 recommend MDB as a Buy and 4 give it an Overweight rating. Meanwhile, 0 analyst(s) rate the stock as Underweight and 1 say it is a Sell. As such, the average rating for the stock is Overweight which could provide an opportunity for investors keen on increasing their holdings of the company’s stock.

MDB’s current price about 24.15% and 45.31% off the 20-day and 50-day simple moving averages respectively. The Relative Strength Index (RSI, 14) currently prints 75.24, while 7-day volatility ratio is 6.01% and 4.44% in the 30-day chart. Further, MongoDB Inc. (MDB) has a beta value of 1.04, and an average true range (ATR) of 18.39. Analysts have given the company’s stock an average 52-week price target of $368.76, forecast between a low of $210.00 and high of $430.00. Looking at the price targets, the low is 43.54% off recent price level in today’s trading while to achieve the yearly target high, it has to move -15.6%. Nonetheless, investors will most likely welcome a -4.85% jump to $390.00 which is the analysts’ median price.

In the market, a comparison of MongoDB Inc. (MDB) and its peers suggest the former has performed considerably stronger. Data shows MDB’s intraday price has changed 0.92% today and 25.84% over the past year. Comparatively, Progress Software Corporation (PRGS) has moved 0.42% so far today and only 19.21% in the past 12 months. Looking at another peer, we see that Pixelworks Inc. (PXLW) price has gained 2.26% on the day. However, the stock is -16.20% off its price today a year ago. Elsewhere, the overall performance for the S&P 500 and Dow Jones Industrial shows that the indexes are up 0.37% and 0.27% respectively on the day as seen in early trades.

If we refocus on MongoDB Inc. (NASDAQ:MDB), historical trading data shows that trading volumes averaged 3.03 million over the past 10 days and 1.97 million over the past 3 months. The company’s latest data on shares outstanding shows there are 69.53 million shares.

The 2.60% of MongoDB Inc.’s shares are in the hands of company insiders while institutional holders own 92.40% of the company’s shares. Also important is the data on short interest which shows that short shares stood at 3.78 million on May 14, 2023, giving us a short ratio of 2.48. The data shows that as of May 14, 2023 short interest in MongoDB Inc. (MDB) stood at 5.36% of shares outstanding, with shares short rising to 3.56 million registered in Apr 13, 2023. Current price change has pushed the stock 88.97% YTD, which shows the potential for further growth is there. It is this reason that could see investor optimism for the MDB stock continues to rise going into the next quarter.

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

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Last week, MongoDB, Inc.’s (NASDAQ:MDB) stock jumped 25%, but insiders who sold US$9.2m worth of stock in over the past year are likely to be in a better position. Selling at an average price of US$225, which is higher than the current price, may have been the best move for these insiders because their investment would have been worth less now than when they sold.

While we would never suggest that investors should base their decisions solely on what the directors of a company have been doing, we would consider it foolish to ignore insider transactions altogether.

See our latest analysis for MongoDB

The Last 12 Months Of Insider Transactions At MongoDB

The President, Dev Ittycheria, made the biggest insider sale in the last 12 months. That single transaction was for US$2.1m worth of shares at a price of US$229 each. That means that even when the share price was below the current price of US$369, an insider wanted to cash in some shares. When an insider sells below the current price, it suggests that they considered that lower price to be fair. That makes us wonder what they think of the (higher) recent valuation. However, while insider selling is sometimes discouraging, it’s only a weak signal. It is worth noting that this sale was only 5.7% of Dev Ittycheria’s holding.

In the last year MongoDB insiders didn’t buy any company stock. You can see a visual depiction of insider transactions (by companies and individuals) over the last 12 months, below. If you click on the chart, you can see all the individual transactions, including the share price, individual, and the date!

If you like to buy stocks that insiders are buying, rather than selling, then you might just love this free list of companies. (Hint: insiders have been buying them).

MongoDB Insiders Are Selling The Stock

Over the last three months, we’ve seen significant insider selling at MongoDB. In total, insiders sold US$3.6m worth of shares in that time, and we didn’t record any purchases whatsoever. In light of this it’s hard to argue that all the insiders think that the shares are a bargain.

Insider Ownership

Many investors like to check how much of a company is owned by insiders. Usually, the higher the insider ownership, the more likely it is that insiders will be incentivised to build the company for the long term. MongoDB insiders own 3.7% of the company, currently worth about US$1.0b based on the recent share price. Most shareholders would be happy to see this sort of insider ownership, since it suggests that management incentives are well aligned with other shareholders.

What Might The Insider Transactions At MongoDB Tell Us?

Insiders haven’t bought MongoDB stock in the last three months, but there was some selling. And even if we look at the last year, we didn’t see any purchases. It is good to see high insider ownership, but the insider selling leaves us cautious. So while it’s helpful to know what insiders are doing in terms of buying or selling, it’s also helpful to know the risks that a particular company is facing. At Simply Wall St, we found 4 warning signs for MongoDB that deserve your attention before buying any shares.

Of course MongoDB may not be the best stock to buy. So you may wish to see this free collection of high quality companies.

For the purposes of this article, insiders are those individuals who report their transactions to the relevant regulatory body. We currently account for open market transactions and private dispositions, but not derivative transactions.

Have feedback on this article? Concerned about the content? Get in touch with us directly. Alternatively, email editorial-team (at) simplywallst.com.

This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.

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

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Microsoft has announced that Cosmos DB, its distributed multi-model database, is being improved with more elasticity and support for vector search for MongoDB. 

Cosmos DB is a globally distributed, multi-model database service that lets you scale throughput and storage independently across any number of Azure’s geographic regions. It indexes all data, and the multi-model service supports document, key-value, graph and column-family data models. Cosmos DB has wire-compatible APIs for MongoDB, Apache Cassandra and Apache Gremlin, along with a native SQL dialect.

The elasticity is being improved with Burst capacity, which uses the idle throughput capacity of a database or container to handle traffic spikes. The Cosmos DB team says that databases and containers using standard provisioned throughput can be set to use burst capacity and will be able to maintain performance during short bursts, when requests exceed the throughput limit. This gives customers a temporary cushion if they’ve under-provisioned.

Another performance-related improvement is support for hierarchical partition keys. This enables up to three partition keys to be used instead of one to improve data distribution and achieve greater scale.

A preview was also announced at Build of Materialized views for Azure Cosmos DB for NoSQL. This lets users create and maintain secondary views of their data in containers that are used to serve queries that would be too expensive to serve with an existing container. Materialized Views can be used to create and maintain data between two containers, allowing both to work efficiently, optimizing costs and saving time.

Vector Search in Azure Cosmos DB for MongoDB vCore was also announced at Build. This lets customers integrate AI-based applications, including those built on Azure OpenAI, with their data stored in Azure Cosmos DB, and store and work with high dimensional vector data directly in Azure Cosmos DB for MongoDB vCore. This feature should reduce the need to transfer data to more expensive alternatives for vector search.

More Information

Azure Cosmos DB free trial

Related Articles

Cosmos DB Strengthens Microsoft’s Azure Database

Azure Cosmos DB Gets Multi-Masters

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BastionZero has announced the release of SplitCert to provide password-free authentication access to databases. It uses Mutual TLS (mTLS) and cryptographic multi-party computation (MPC) to provide certificate-based authentication for popular, self-hosted Postgres and MongoDB databases, according to the vendor. Other new BastionZero platform features include passwordless access support for GCP cloud SQL and AWS RDS via a new desktop app, along with password-free support for Microsoft Windows servers with Remote Desktop Protocol (RDP), BastionZero said.

Passwords can be a major security headache for businesses, with weak and reused passwords often rife among employees who struggle to maintain and remember unique logins across vast numbers of accounts. Passwords are a principal weakness involved in 81% of all hacking breaches, while inherent useability problems make passwords difficult for users to manage safely.

SplitCert generates mTLS certificates from two “shards” stored in two locations

SplitCert generates one-time mTLS client certificates from two key “shards” that are stored in two independent locations, BastionZero said in a press release. Cryptographic MPC is then used to generate one-time mTLS client certificates from the two independently stored shards, it added. By storing the shards in independent locations, SplitCert eliminates the single point of compromise associated with the storage and maintenance of database passwords. It is invisible to end users and supports database access via popular existing database clients and workflows, BastionZero said.

“With SplitCert, we’ve leveraged modern cryptographic techniques to ensure that our customers don’t need to trust anyone with their database credentials, not even us,” commented Sharon Goldberg, PhD, CEO and co-founder, BastionZero.

In addition to the SplitCert release, BastionZero’s new desktop app creates a simple point-and-click path for users to access Windows, Linux, database, and Kubernetes targets, the firm said. The release includes a feature that supports locking down Windows infrastructure access with RDP, it added.

Support for password-less authentication continues to grow

Support for password-less authentication and access has been growing in recent years as organizations and the technology sector seek more secure, reliable sign-in alternatives that help limit the risks of password reliance. Passkeys are a kind of passwordless authentication seeing increasing focus and adoption, with Google now rolling out support for passkeys across Google Accounts on all major platforms. Last month, the FIDO Alliance released new user experience guidelines to help accelerate the deployment and adoption of passkeys.

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“

The global Information Technology Application Innovation Databases Market report is a thorough research that gives significant insights into the keyword business, including market trends, development prospects, competitive landscape, and the influence of COVID-19. This review outlines the essential topics, tools and techniques employed, services given, market value, and why investors should consider investing in this report.

Request a sample report @ https://www.orbisresearch.com/contacts/request-sample/6987653

Contents of the Global Information Technology Application Innovation Databases Market Report:

● Market overview and definition
● Market size, growth predictions, and CAGR analysis
● Key market players and their market shares
● Market dynamics, including drivers, restrictions, and opportunities
● Competitive analysis and strategic suggestions
● Trends and advancements in the Information Technology Application Innovation Databases industry
● Impact of COVID-19 on the market
● Market segmentation based on several characteristics
● Regional analysis and market outlook
● Future prospects and investment possibilities

Tools and Techniques Used to Create the Report:

The production of the global Information Technology Application Innovation Databases Market report included a combination of primary and secondary research:

● Primary research: Surveys, interviews, and data collecting from industry experts, market players, and consumers.
● Secondary research: Analysis of existing sources such as industry studies, market databases, corporate websites, and published publications.

Key Players in the Information Technology Application Innovation Databases market:

Oracle
DB2
Microsoft SQL Server
Microsoft Access
MySQL
SQL
Amazon Aurora
IBM
RERADATA
Amazon REDSHIFT
NoSql
Cloudant
Hbase
Mongo DB
Couch Base
Neo4j
Google Cloud Datastore
Bigtable
Cloudera
Elasticsearch
Databricks

Information Technology Application Innovation Databases market Segmentation by Type:

RDB
NoSQL

Information Technology Application Innovation Databases market Segmentation by Application:

Smart Government Affairs
Information Security
Industry Digitalization
Digital Industrialization
Others

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Services Offered by the Global Information Technology Application Innovation Databases Market Report: The global Information Technology Application Innovation Databases Market report offers the following services to its readers:

● Market research and analysis
● Market sizing and growth projections
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Article originally posted on InfoQ. Visit InfoQ

Carbon neutrality means that the total amount of emissions is either eliminated, neutralized, or compensated. Net-zero is a target that doesn’t include compensation and puts more emphasis on avoiding carbon emissions. Many products, data centers, or companies, are already carbon neutral, but few have reached net-zero.

Martin Lippert spoke about sustainability at OOP 2023 Digital.

There is no exact or clear definition of carbon neutral and net-zero, but we have a well-established common understanding of them, Lippert mentioned. He distinguished between two ways to deal with emissions: eliminating emissions and offsetting emissions:

Eliminating emissions means to not emit carbon into the atmosphere in the first place, you basically avoid creating carbon dioxide (or equivalent greenhouse gasses) and avoid emitting them into the atmosphere.

Offsetting carbon emissions means that you continue to emit carbon into the atmosphere, but you either compensate for those emissions (e.g. via carbon certificates) or you try to remove those emissions from the atmosphere again over time – which is often referred to as neutralizing emissions.

Lippert explained that carbon neutral means that the total amount of emissions is either eliminated (avoided), neutralized (removed again), or compensated (e.g. via carbon certificates) – or a combination of all three ways. But you don’t know which way was chosen to achieve carbon neutral – as long as the total sum is the same as the amount of carbon emissions that you caused, he added. So it might be the case that a company did not do anything to eliminate emissions, but solely bought certificates to compensate for those emissions. That would still result in a carbon neutral banner, Lippert said.

In contrast to that, net-zero takes the compensation part out of this equation and puts a lot more emphasis on the elimination (avoidance) part, Lippert explained. It usually means that you first try to eliminate as many carbon emissions as possible – and neutralize (remove later) the remaining emissions that you can’t eliminate, he said.

According to Lippert, net-zero is a much stronger goal when it comes to reducing carbon emissions – and probably the reason why you see many products, data centers, or companies already being carbon neutral, but not so many net-zero – at least not yet.

The problem with offsetting approaches is that you – more or less – outsource the problem and continue to emit carbon, Lippert argued. If you emit, for example, 1 metric ton of carbon dioxide into the atmosphere today, it contributes to climate change now. Planted trees – a widely used practice to achieve carbon neutrality – will need between 40 and 80 years to remove that carbon from the atmosphere again. While planting trees is usually a good idea, it doesn’t really compensate for your emissions in a meaningful time – especially if you continue to produce carbon emissions, Lippert concluded.

InfoQ interviewed Martin Lippert about offsetting emissions and net-zero.

InfoQ: Offsetting emissions by either neutralizing or compensating sounds a bit vague. Can you elaborate on what this really means?

Martin Lippert: The fundamental idea of “neutralizing” emissions is that you try to remove the emissions that you have put into the atmosphere from the atmosphere again – or at least emissions of the same amount. Planting trees is a widely known example of this. Those trees extract carbon dioxide from the atmosphere. And because it is hard for individuals and companies to plant those trees themselves, they can sponsor those activities via organizations. The underlying idea is – if you can’t avoid the emissions in the first place – try to at least remove them again at a later time.

The story behind compensation is somewhat different. The underlying idea here is: if you can’t avoid the emissions on your end, help someone else to avoid emissions (in the same amount). A famous example is to sponsor modern cookstoves in developing countries. Those modern cookstoves emit far less greenhouse gas emissions than the ones people would continue to use if they would have no chance to get those modern ones. So this helps to avoid emissions somewhere else that would occur otherwise.

Both variants are often realized via so-called carbon offsets that you can buy via organizations that then invest the money into those projects.

InfoQ: You mentioned in your talk that offsetting approaches do not really solve the problem. Why?

Lippert: Buying carbon offsets sounds like an easy way to deal with your own carbon emissions and feels like you don’t do anything wrong anymore when you buy those carbon offsets. The term carbon neutral underlines that impression. But even though those offsets are – most of the time – well invested into good ideas and projects, they don’t change the fact that you’ve put carbon into the atmosphere and that this carbon doesn’t go away anytime soon and accelerates climate change. We really need to focus on avoiding emissions in the first place.