In addition, more than 70 per cent of Java applications reporting to New Relic do so from a container while G1 was the favourite garbage collector for those who have left Java 8 behind.ĭata from New Relic’s report was drawn entirely from applications reporting to New Relic in January 2022 and does not provide a global picture of Java usage, the company said. 95 per cent of the applications monitored. Java 14, from 2020, is the most popular non-LTS release, but was in use in only. Meanwhile, only 2.7 per cent of applications in production use non-LTS Java versions. Java 8 held an 84.48 per cent share in 2020. Java 8, also an LTS release, came in second at 46.45 per cent. Other findings in the 2022 State of the Java Ecosystem report include news that Java 11 has become the most commonly used Java version.Ī Long-Term Support release published in 2018, Java 11 is now used by more than 48 per cent of applications in production, up from 11.11 per cent in 2020. Behind Oracle and Amazon were Eclipse Adoptium (11.48 per cent), Azul Systems (8.17 per cent), Red Hat (6.05 per cent), IcedTea (5.38 per cent), Ubuntu (2.91 per cent), and BellSoft (2.5 per cent). New Relic said its numbers show movement away from Oracle binaries after the company’s “more restrictive licensing” of its JDK 11 distribution before returning to a more open stance with JDK 17, released in September 2021. Not far behind was Amazon, at 22.04 per cent, up from 2.18 per cent in 2020. The finding was included the company’s 2022 State of the Java Ecosystem report, released April 26, which is based on data culled from millions of applications providing performance data to New Relic.Īmong Java Development Kit (JDK) distributions, Oracle had roughly 75 per cent of the market in 2020, but just 34.48 per cent in 2022, New Relic reported. Apache Camel is an open source integration framework that empowers you to quickly and easily integrate various systems consuming or producing data.While still the industry’s leading Java distribution, Oracle Java’s popularity is half what it was just two years ago, according to a report from application monitoring company New Relic.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R ame objects, statistical functions, and much more Data integration platform for ELT pipelines from APIs, databases & files to warehouses & lakes. Parallel computing with task scheduling Apache Spark - A unified analytics engine for large-scale data processing Easily automate tasks across different services.
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Free and source-available fair-code licensed workflow automation tool. It also comes with Hadoop support built in. It handles dependency resolution, workflow management, visualization etc. Luigi is a Python module that helps you build complex pipelines of batch jobs.
An orchestration platform for the development, production, and observation of data assets. A Python framework for creating reproducible, maintainable and modular data science code. When comparing openJDK-docker and Airflow you can also consider the following projects:
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