HDP is built on 100 percent open source Apache ecosystem components—as if you had downloaded components from Apache.org and built it yourself. HDP is a Hadoop and Spark distribution provided at no charge, and it is certified by the Open Data Platform initiative (ODPi). HDP is designed with analytics, operational excellence and security empowerment in mind. As a result, it offers an optimal combination of Apache components to maximize the development of big data applications.
With HDP as its foundation, IBM® Big SQL enables users to query Hive and HBase data using ANSI-compliant SQL. While Hadoop is highly scalable, the Big SQL advanced cost-based optimizer and massively parallel processing (MPP) architecture can run queries smarter, not harder, supporting more concurrent users and more complex SQL with less hardware compared to other SQL solutions for Hadoop. Big SQL is part of IBM big data analytics offerings such as IBM Big Replicate, IBM BigIntegrate and IBM BigQuality.
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