

The Apache Crunch Java library provides a framework for writing, testing, and running MapReduce pipelines. Its goal is to make pipelines that are composed of many user-defined functions simple to write, easy to test, and efficient to run.

Apache James has a modular architecture based on a rich set of modern and efficient components designed to provide complete, stable, secure and extendable Mail Servers running on the JVM.

Apache Tajo is a robust big data relational and distributed data warehouse system for Apache Hadoop.

Apache HAWQ is a Hadoop native SQL query engine that combines the key technological advantages of MPP database with the scalability and convenience of Hadoop. It provides users the tools to confidently and successfully interact with petabyte range data sets.

Apache SystemML is a machine learning platform optimal for big data that provides an optimal workplace for machine learning using big data, it can be run on top of Apache Spark, where it automatically scales your data, line by line, determining whether your code should be run on the driver or an Apache Spark cluster.

Apache Sentry is a system for enforcing fine grained role based authorization to data and metadata stored on a Hadoop cluster.

Apache Trafodion is a webscale SQL-on-Hadoop solution enabling transactional or operational workloads on Apache Hadoop.Trafodion provides SQL access to structured, semi-structured, and unstructured data allowing you to run operational, historical, and analytical workloads on a single platform.

Apache APISIX is a dynamic, real-time, high-performance API gateway. APISIX provides rich traffic management features such as load balancing, dynamic upstream, canary release, circuit breaking, authentication, observability, and more. You can use Apache APISIX to handle traditional north-south traffic, as well as east-west traffic between services. It can also be used as a k8s ingress controller.

Apache Airavata is a software framework designed to enable users to compose, manage, execute, and monitor large scale applications and workflows on distributed computing resources such as local clusters, supercomputers,computational grids, and computing clouds.
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