Spark and Hadoop for the open enterprise - with the IBM advantage.
Organizations want to spend less time creating an enterprise-ready Hadoop infrastructure, and more time gaining insights and delivering data applications. IBM provides a complete Hadoop solution, including Spark, to scale analytics and applications quickly and easily.
The IBM Open Platform: A free, open source distribution of Hadoop and Spark
The full range of analytics for Hadoop, Spark and SQL
Easier and more scalable big data management
An ecosystem of powerful, enterprise-class components complement BigInsights, including modules for data integration, data cleansing, metadata management, advanced statistical analytics, data replication, and more.
What’s new for Version 4.2
|COMPONENT||IOP 4.1 Version||IOP 4.2 Version|
- Ranger* - Centralized security management and auditing user and REST interface. Supports HDFS, YARN, Hive, HBase, and Kafka.
- Phoenix* - SQL interface for HBase
- Titan* - Graph database API for Hadoop - Graph database API for Hadoop
*Available on BigInsights on-premises only; coming soon to on-cloud offering
**Kafka - BigInsights on-premises only; currently available as MessageHub (Kafka-as-a-Service) on IBM Bluemix®
In 2015, IBM® released the IBM Open Platform (IOP) with Apache Hadoop and Spark. IOP is IBM’s big data platform, built on 100% open source Apache ecosystem components – as if you had downloaded components from Apache.org and built it yourself. IOP is a free distribution of Hadoop and Spark and is certified by the Open Data Platform Initiative (ODPi), a multi-vendor standards association focused on advancing the adoption of Hadoop in the enterprise, and promoting the interoperability of big data tools. IOP was designed with analytics, operational excellence, and security empowerment in mind. As a result, IOP offers a unique and optimal combination of Apache components to maximize the development of big data applications.
IBM BigInsights® 4.2, built on IOP 4.2, puts the full range of analytics for Hadoop, Spark and SQL into the hands of advanced analytics and data science teams on an open and flexible platform. Significant release features include:
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