#analytics

Fast data means smarter analytics

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.

Features

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Flexible

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 BigSQL, Python.

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Smarter

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.

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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.

Partner

Lightbend

Lightbend Fast Data platform and 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.

Lightbend

Featured product

IBM Db2® Event Store

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.

Product editions

IBM Db2 Event Store Enterprise Edition

Installs on an enterprise-grade Linux single node or cluster (3 nodes). Ingest millions of events per second and analyze with accelerated queries. Includes monitoring console and the capability to write to object storage. Develop applications with a Scala, Python, REST interface using notebooks, or via direct connection to Db2 Event Store. Includes data science tools and machine learning integration.

IBM Db2 Event Store Developer Edition

Install onto your Mac, Windows or Linux personal machine to experience the functionality of Db2 Event Store. Ingest and query up to 100,000 inserts per second. Accelerated queries are possible through Spark enhancements and the Event Store index. Application development uses notebooks or direct connection to Event Store using its client jar. Includes data science tools and machine learning integration.

Resources

Perishable insights

You’re probably wasting time and money on stale insights. Use this Forrester framework to classify insights by “perishability” and learn how to apply them while they’re still relevant, in real-time, or for operational, performance, or strategic decisions.

The New IBM Event Based Data Management System

Learn the business and technology drivers behind the next wave of event-driven business applications. Get smarter, real-time insights from streamed data. See how Db2 Event Store simplifies and accelerates event analytics.

Why fast data management is essential for your business future

In this webinar, Forrester and IBM representatives discuss the business and technology factors that are inspiring a new generation of event-driven business applications. See why speedy insight is essential—and how to achieve it.

Demo: Click stream analysis

See how a retail business can use Db2 Event Store and the embedded IBM Data Science Experience tool to visualize and understand customer behavior from click stream data, such as page views and time-on-page.

The convergence of fast data, machine learning and data science tools

The CUBE interviews IBM Fellow Namik Hrle on the value of fast data and how IBM Db2 Event Store can help.

Fast data ingestion + machine learning equates to faster, smarter decisions

Db2 Event Store can ingest and analyze 250 billion events a day. Read how integrated machine learning and data science enable smarter responses.

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