The IBM® Db2® Event Store memory-optimized database is designed to rapidly ingest and analyze streamed data for event-driven applications. IBM Watson® Studio software is built into Db2 Event Store for an integrated, collaborative development experience with support for creating machine learning models.
Db2 Event Store is now available on the IBM Cloud Pak® for Data extensible data and AI platform — built on the Red Hat® OpenShift® Container Platform — that modernizes how businesses collect, organize and analyze data and infuse AI throughout their organizations.
Introducing Db2 Event Store
Store and analyze more than 250 billion events per day
Massive data ingests
High-speed data ingestion technology captures a million rows per second per node; linear scale of compute and storage.
Embedded real-time analytics
Hybrid transactional/analytical processing (HTAP) is optimized for streamed data performance.
Built on the Apache Spark platform
Use familiar capabilities with support of the Spark API and native Db2 Event Store APIs (Spark: SQL, streaming, analytics and machine learning).
Use of open data format
Data is stored using the Apache Parquet open source columnar data format, eliminating vendor lock-in concerns. Storage and compute are separated.
Built-in machine learning
Db2 Event Store is natively integrated with IBM Watson Studio for building, training and deploying machine learning models.
Db2 Event Store in action
Demos and hands-on guides
See the code pattern for how a retail business can use Db2 Event Store to derive customer insights from clickstream data.
Jupyter notebook integration
Explore using Jupyter notebooks and the benefit of running SQL queries against Db2 Event Store versus standard Db2.
Stream data with Apache Kafka
Run an end-to-end application representative of a simplified IoT use case. See sensor data streamed to Db2 Event Store and visualized.
Stream and store retail data for analysis
Build a Scala app using Akka to apply a WebSockets endpoint that streams data to Db2 Event Store. Visualize the data using Jupyter notebooks with Scala and Brunel.
Documentation & support
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Frequently asked questions
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Fast data and machine learning
Db2 Event Store can ingest and analyze 250 billion events per day. Make smarter, faster decisions with Integrated machine learning and data science capabilities.
Get immediate insights from fast data
This tech talk compares fast-data architectures, plus gives an overview of Db2 Event Store and a demo to help you get started.
Get started with Db2 Event Store
Talk to an IBM expert for 30 minutes at no cost.