Calculating timely risk exposure and ensuring compliance relies on being able to quickly and easily analyze vast quantities of time-series data from multiple sources across the business.
Kinetica makes it quicker and easier to ingest these datasets in real time and perform all necessary data joins and complex risk analysis against all your data – at petabyte scale.
Financial institutions typically require a 1-second data latency SLA (loading 600K to 2 million records per minute) and a 2-second query latency SLA. Kinetica provides fast insights on the freshest data.
Eliminate the need for continuous monitoring and tuning with a database designed for real-time data.
Use time bucketing, date-time functions, window functions, ASOF (fuzzy matching) joins, and materialized views to maintain continuously updated metrics at speed and scale—all with standard SQL.
With Kinetica, you can ingest, query, and maintain self-refreshing views simultaneously, delivering richer analytics while eliminating the need for constant monitoring and tuning to manage growing data volumes.
Kinetica offers rich OLAP, time series, streaming, graph, and vector search capabilities in a single database, reducing system compute, storage, and operational costs.
Additionally, Kinetica can replace hundreds of thousands of lines of microservice code with in-database SQL queries, creating a simpler, more agile platform with lower total cost of ownership.
Legacy technologies constantly struggle to keep up with high volume ingestion (600K to 2 million records per minute) and querying (100+ QPS).
Requires heavy tuning and monitoring to handle surges in data volume. Huge infrastructure spend on heavy weight nodes to host analytic microservices. Massive legacy technology clusters to meet SLAs.
Death by a thousand microservices. Each analytic function requires custom developed as a microservice. Constant development required of microservices for new metrics.
On GPU & CPU Cores
With Advantage of data tiering
Learn how a leading hedge fund replaced 100k lines of microservices code with standard SQL
Kinetica - complex analytics on real-time and petabyte scale data sets at the lowest TCO.
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Traditional data warehouses simply couldn't sustain the volume and velocity of analytics we require. Kinetica cut our analytics latency by an order of magnitude and gave us immediate access to high-cardinality queries across spatial and time-series datasets. It's not just faster — it enables analytics we didn't think were possible.
Kinetica completely transformed how we monitor risk across global markets. We went from daily snapshots to true real-time exposure tracking, and now our risk teams are reacting to shifts as they happen — not after the fact. Latency that used to be measured in hours is now milliseconds, and that has fundamentally changed our risk posture.
Streaming analytics used to be our biggest bottleneck. With Kinetica, we're able to correlate market signals, position data, and transaction flows in real time without dropping threads or losing precision. It's eliminated the latency tax on critical decisions and given our quants the confidence to build faster, more accurate models.
Kinetica completely transformed how we monitor risk across global markets. We went from daily snapshots to true real-time exposure tracking, and now our risk teams are reacting to shifts as they happen — not after the fact. Latency that used to be measured in hours is now milliseconds, and that has fundamentally changed our risk posture.
The best way to appreciate the possibilities that Kinetica brings to high-performance real-time analytics is to see it in action.
Contact us, and we'll give you a tour of Kinetica. We can also help you get started using it with your own data, your own schemas and your own queries.
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