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Build a distributed messaging and streaming system with topic subscriptions and persistent message storage.

Customize a cross-platform editor with packages, project panes, Git tools, and language-server support.

Audience intelligence that segments social conversations and supports selective video transcription

Store and retrieve large-scale data with Apache's distributed, column-oriented Hadoop database.

Organize and query industrial IoT time-series data across device and sensor paths.

A Java-based load-testing application for exercising services and analyzing their performance under simulated traffic.

A distributed columnar store for analytical workloads on data that continues to change.

A distributed SQL engine for real-time analytics, data warehousing, and search workloads.

A cross-platform IDE with language-aware editing, refactoring, project wizards, and application tooling.

The Scala 3 compiler and language toolchain for JVM projects and cross-platform code.

A distributed, memory-first SQL database for applications that need shared cluster state.

Compiles and optimizes machine-learning models for deployment across hardware targets.

Coordinate distributed applications with naming, configuration, synchronization, and group-service primitives.

Store JSON documents and replicate them across servers and disconnected clients.

An open-source distributed NoSQL database built around partitioned rows.

Correlate service topology with traces, metrics, logs, profiles, and alerts in a self-hosted observability system.

Monitor servers, databases, middleware, and network services through agentless collection and built-in alerts.

Serialize structured data with schemas and compact binary encoding across supported programming languages.

Share columnar in-memory data across languages with a common format and library ecosystem.

Explore SQL-connected data with charts, dashboards and a SQL workspace.

Use mutation testing to see whether a JVM test suite catches deliberately changed code.

Query fresh analytical data through a distributed OLAP datastore with SQL and REST access paths.

Ingest streaming or batch data into an analytics database built for fast interactive queries.

Write scripts and JVM applications with Groovy's concise syntax and Java interoperability.