SAS Event Stream Processing Engine Screenshot on Monitor

SAS® Event Stream Processing Engine

Take action on your big data to make instant decisions

With endless amounts of data streaming into your organization, it’s easy to get overwhelmed and miss opportunities – or prevent problems – without having the right technology in place. Event stream processing helps you continuously analyze data in real time so you can take immediate action.

Benefits

Get results in real time.

With a solution that constantly analyzes events as they occur, you can detect patterns and capture value that’s otherwise lost through information lag. Event stream processing from SAS makes it easy to decide fast, and take action even faster.

Take advantage of top performance.

Low latency and high-volume throughput mean faster, better and more powerful data processing. Continuous queries in a flexible threaded processing model natively support updates as well as deletions and insertions while data is streaming.

Make sound decisions with sound analysis.

Having accurate data at your disposal means you’re always prepared to take action. Event stream processing from SAS provides in-stream data quality as well as prebuilt analytic expressions and pattern-matching algorithms for data that drives smart business moves.

Identify – and fix – problems fast.

Our unique pattern-matching facility helps you define sequential or temporal events to pinpoint anomalies early. Combined with a powerful expression language and procedural windows, you'll always be working with accurate data and correcting issues before they become bigger problems later.

Demos & Screenshots

Features

  • Designed for speed. Low processing latency and high-volume processing of millions of events per second help you identify opportunities and address problems quickly.
  • Powerful expression engine. Features such as parsing, filters, joins, field calculations and pattern-matching functions make it easier to analyze data and data quality.
  • Suite of data adapters and connectors. Regardless of where data is sourced or where it needs to go – from Hadoop to XML formats – you can easily address it.
  • Enterprise administration and management. Efficient data processing doesn’t mean a heavier workload; you can set controls to manage and monitor data stream projects.

Technical Information

Axeda IoT Excellence 2014

SAS was named an IoT Excellence Award winner at Connexion 2014, Axeda's annual conference, in recognition of our skills and expertise in developing innovative solutions across the Internet of Things.

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