STAC Streaming Analytics SIG

Capture and analysis of streaming data is increasingly important throughout the economy. In finance, computerized analysis of live market data has been important for over two decades, but machine learning is driving changes in usage patterns. In the “real” economy, sophisticated analysis of machine-generated datastreams is now essential for firms in sectors such as manufacturing, health care, telecoms, and power grids. And across all industries, organizations with large IT estates need to analyze streaming telemetry from their physical and virtual devices, applications, and microservices order to keep business processes functioning properly.

In response, the number of solutions for streaming analytics (software, hardware, XaaS offerings) has blossomed over the last few years. These solutions have widely varying architectures, feature sets, performance profiles, and total costs.

The STAC Streaming Analytics Special Interest Group (SIG) is a forum for users and providers of streaming capabilities to discuss common issues and spin off working groups to develop use case-specific benchmarks for streaming solutions.

One set of benchmarks has been defined so far: the STAC-M3 Jalua suite. This suite is based on financial market data use cases and is under the guidance of the STAC-M3 Working Group.

A second set of benchmarks for IT telemetry use cases (monitoring and managing etc.) are currently being developed by the Streaming Analytics SIG.

Some SIG users have expressed interest in additional use cases from the Industrial Internet of Things (IIOT), so proposals are being collected in that area as well.

To get involved, please click Enable Me to the right.

Note: We encourage users interested in benchmarks for streaming analytics on market data to join both the STAC-M3 Working Group and the STAC Streaming Analytics SIG.