What is Apache Hadoop?

Apache Hadoop® is an open source platform providing highly reliable, scalable, distributed processing of large data sets using simple programming models. Hadoop is built on clusters of commodity computers, providing a cost-effective solution for storing and processing massive amounts of structured, semi- and unstructured data with no format requirements. This makes Hadoop ideal for building data lakes to support big data analytics initiatives.

Use cases for Hadoop Solutions

Better real-time data-driven decisions

Incorporate emerging data formats (streaming audio, video, social media sentiment and clickstream data) along with semi- and unstructured data not traditionally used in a data warehouse. More comprehensive data provides more accurate analytic decisions in support of new technologies such as artificial intelligence (AI) and the Internet of Things (IoT).

Improved data access and analysis

Hadoop helps drive real-time, self-service access for your data scientist, line of business (LOB) owners and developers. Hadoop is helping to fuel the future of data science, an interdisciplinary field that combines machine learning, statistics, advanced analysis and programming.

Data offload and consolidation

Optimize and streamline costs in your enterprise data warehouse by moving “cold” data not currently in use to a Hadoop-based distribution. Or consolidate data across the organization to increase accessibility, decrease cost and drive more accurate data-driven decisions.

Explore the Hadoop ecosystem

IBM and Hadoop capabilities

Get started with Hadoop

As the volume, velocity and variety of data continue to grow at an exponential rate, Hadoop is growing in popularity. IBM has the solutions and products to help you build, manage, govern and optimize access to your Hadoop-based data lake.

Talk to an IBM Hadoop specialist and learn how our customers are achieving their real-time analytic requirements for today’s advanced analytic needs driven by AI and IoT initiatives.

Graphic representing contacting an IBM Hadoop expert

Build a solution that optimizes the potential of Hadoop