One key capability is SQL querying and this is where IBM Big SQL comes in as a data virtualization tool that lets you access, query, and summarize data from any platform including databases, data warehouses, NoSQL databases, and more. Big SQL concurrently exploits Hive, HBase and Spark using a single database connection — even a single query.

IBM Analytics for Apache Spark Increase your analytics agility with the power of open source Apache Spark. Process large data volumes at great speed in a hosted, managed, secure environment.

Give your application uninterrupted data access, offline and online, anywhere in the world, with a fully managed NoSQL database service. Let IBM manage the database layer so you can build more, grow more and sleep more.

Helps to capture and analyze streaming data, make decisions while events are happening. IBM Streams offers a complete solution with a development environment, runtime and analytics toolkits.

Cloud-based, social workspace that helps data scientists consolidate their use of and collaborate across multiple open source tools such as R and Python.

Helps analyze big volumes of structured and unstructured data to provide complete and accurate customer information—without increasing risk of errors or data loss when moving data from source to source.

A data integration solution that provides connectivity, transformation, and data delivery features that execute on the data nodes of a Hadoop cluster.

Helps ensure information quality and provides the ability to quickly adapt to strategic business changes by stewardship and monitoring of data and application of data quality rules for your Hadoop data.

Provides comprehensive information integration capabilities to help you understand and govern your information.