Drasi by Microsoft makes it easy and efficient to detect and react to changes in databases; source: github/drasi-project/drasi-platform
It tracks system changes and events without the need to copy data to a central data lake or repeatedly query data sources. Drasi uses queries to continuously evaluate incoming data changes. When the changes match the criteria and conditions specified in these queries the result sets of these queries are updated. These updates then trigger context-aware reactions defined tuned to your specific requirements.
Drasi operates through three components:
- Sources connect to data repositories within software systems to monitor logs and feeds to track changing data.
- Continuous Queries interpret monitored changes by applying criteria and conditions to identify significant changes. In Drasi, these Continuous Queries are written using the Cypher Query Language.
- Reactions trigger meaningful responses based on updates to the result sets of the Continuous Queries.
Drasi uses Cypher Query Language for Continuous Query Syntax
See also:
- Feldera --
The Incremental Compute Engine for AI, ML and data teams. Feldera is a fast query engine with the unmatched ability to evaluate arbitrary SQL programs incrementally, over any number of live and historical data sources. Process millions of events per second and scale to larger than memory datasets, even on your laptop.
. Commerical offering - Materialize; commercial offering.