Digital businesses are deploying event-driven applications to help them quickly identify and respond to opportunities and threats. They rely on fast data, which goes beyond stream analytics and enables concurrent analysis of real-time and historical data for deeper insights and better responses.
Fast data can transform business analytics for the better. When combined with an integrated development environment, embedded data science capabilities and machine learning, fast data enables a new era of event-driven business insight and opportunity, while reducing complexity.
Optimized in-memory HTAP database with open data format for sharing. Integrated event data management with access to Spark Streaming, Spark Analytics, IBM Streams, Kafka, Scala, Java, IBM Big SQL and Python.
Apply built-in machine learning and data science capabilities to enable smarter responses in event-driven applications. IBM fast data capabilities give you real-time, scalable analytics on both incoming and historical data.
Fast and reliable
Capture, store and analyze more than 250 billion events per day with 3 nodes. This high-performance capability scales linearly with additional nodes – and is delivered with high availability that supports real-time access.
The Lightbend Fast Data Platform and Db2 Event Store enable a new era of event-driven business insight and opportunity, while reducing complexity. IBM and Lightbend joint solutions provide a complete toolchain for Java and Scala developers to easily build and deploy AI and cognitive applications in both on-premises and cloud environments.
In-memory database designed for massive ingestion of event data while performing real-time analytics. Optimized for event-driven data processing with built-in analytics to support applications driven by events, such as IoT solutions, payments, logistics and web commerce. It’s flexible, scalable and can adapt quickly to changing business needs over time. Includes data science tools and machine learning integration.