Risk Management Solutions
Enterprise growth and longevity requires quantifying and planning around risk. Risk calculations aggregate data from many sources across an organization. Enterprise risk aversion demands not only the ability to calculate present risk, but to run hypothetical "what if" scenarios to improve planning for the future.
Why MemSQL For Risk Management?
MemSQL simultaneously ingests, stores and analyzes data to deliver sub-second insights for real-time detection and decision making.
Streaming Data Ingest and Store
Collect and store multiple streams of data in a relational format, without relying on slow batch processing.
Fast Query Response
Discover anomalies or predict events as they happen combining real-time and historical sources with standard SQL.
ANSI SQL compliant with full data persistence improves data accuracy that also works with existing business intelligence and middleware tools.
Shared nothing architecture for scale out and up using standard hardware. Deploy on-premises, as-a-service or a hybrid of both.
Robert Stepeck, CTO at Novus Partners
“We went from a cycle of data refreshing that essentially went around the clock to just an hour or two at night. Now we can actually scale as we bring on new clients.”
Get fine-grained visibility by calculating volatile events across millions of records for deeper more accurate analysis of fraudulent activities.
Track and manage portfolio risk in real-time across millions of financial records to maximize investor performance.
Block Chain Analytics
Detect and analyze blockchain data in real-time to discover insights and make more informed decisions for order processing.