Apache Bigtop announces general availability

With focus back on Apache Software Foundation hadoop projects packaging since the time competing ODP (Open Data Platform) was announced, Apache Bigtop has announced general availability of version 1.0.0.

Bigtop is an Apache Foundation project for Infrastructure Engineers and Data Scientists looking for comprehensive packaging, testing, and configuration of the leading open source big data components. Bigtop supports a wide range of components/projects, including, but not limited to, Hadoop, HBase and Spark.

Key fearures of Bigtop include:
- Packaging: Bigtop packages Hadoop RPMs and DEBs, so that you can manage and maintain your Hadoop cluster.
- Smoke Testing: Bigtop provides an integrated smoke testing framework, alongside a suite of over 50 test files.
- Virtualization: Bigtop provides vagrant recipes, raw images, and (work-in-progress) docker recipes for deploying Hadoop from zero.

A few notable new features in this release include:
    * based on the stable Hadoop 2.6.0
    * Ignite data fabric 1.2.0 with its Hadoop accelerator
    * Spark 1.3.1
    * HBase 0.98.12
    * latest version of Phoenix, the Apache HBase SQL layer project
    * a number of new components are added: Kafka, YCSB, Kite
    * toolchain is updated to the latest versions of the development tools
    * standard docker containers are available for builds, testing, and alike
    * a huge UX improvement in the deployment...
    * and many upgrades to the latest versions for the ecosystem projects
      (Mahout, Solr, Giraph, etc.)

It is the rock-solid release of the Apache Bigdata platform with close to 350 bugs fixed and new features added over the span of 10 months.

source: Apache Bigtop/Konstantin Boudnik