Why adopt an open source and unified analytics platform?

An open and unified analytics platform reduces risk and protects your investment.

The IBM Analytics platform easily incorporates and analyzes data from open source, external sources and internal IBM and non-IBM systems. It includes premium offerings and services built on open-source Apache™ Hadoop®, delivering extra value without proprietary lock-in.

IBM participates in the ODPi, building on standard Hadoop interfaces so you can easily add capabilities from multiple sources.

Open source capabilities

Data Science

Data science is not "one size fits all." Empower your team with the capabilities and collaboration they need to drive business results.

Apache Spark

Build algorithms quickly, iterate faster and put analytics into action with Apache Spark.


Manage large volumes and different types of data with open source Hadoop systems.

In the spotlight

IBM Data Science Experience

Analyze data using RStudio, Jupyter, and Python in a configured, collaborative environment that includes IBM value-adds, such as managed Spark.


Fueling "free markets" in the Insight Economy with Apache Spark

How can you create the valuable insights that are the currency for the new economy while controlling complexity? Apache Spark might be the answer - read this e-book to find out.

2017 Gartner Magic Quadrant for Data Science Platforms

Learn why  IBM is recognized as a leader and why data science, analytics, and machine learning are the engines of the future.

The next wave of intelligent applications, powered by Apache Spark

Machine learning is changing how we interact with machines and the world around us. IBM is committed to making Apache Spark the engine that will power this next wave of machine learning.

IBM Db2 Big SQL: Making your big data SQL-accessible

With Hortonworks Data Platform as its foundation, IBM Db2 Big SQL is a powerful platform for data warehouse offloading, consolidation and more.