Why adopt an open-source and unified-analytics platform?

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

IBM and Hortonworks provide a data analytics platform with the necessary tools to easily incorporate and analyze data from open source, 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 nonprofit Linux Foundation project, building on standard Hadoop interfaces so you can easily add capabilities from multiple sources.

Open-source capabilities

Hortonworks Data Platform

A security-rich, enterprise-ready open-source Hadoop distribution based on a centralized architecture

IBM Db2® Big SQL

An enterprise-grade, hybrid ANSI-compliant SQL on Hadoop engine, delivering massively parallel processing (MPP) and advanced data query

IBM Watson® Studio

A collaborative, configurable environment for data scientists to analyze data using RStudio®, Jupyter and Python

IBM Data Management Platform for MongoDB Enterprise Advanced

A robust, scalable, highly available document-database solution to support mission-critical deployments

In the spotlight

Data lake

Use a data lake to gather, store and analyze your structured, semi-structured and unstructured data and to facilitate the extraction of actionable insights.


Build a better data lake

Discover best practices to follow and the potential pitfalls to avoid when integrating a data lake into your existing data infrastructure. Learn how enterprise-grade security and governance can allow any business to leverage a growing diversity of data to drive innovation across the organization.

The Power of One: IBM + Hortonworks

Discover how IBM and Hortonworks can combine to form an enterprise-ready Hadoop solution that benefits your organization’s analytics.


Learn more about the features and capabilities of Db2 Big SQL, and how to make better decisions fast with powerful SQL-on-Hadoop for big data analytics.