All observability data is time-series data. Efficiently finding and addressing infrastructure and application issues is a time-series problem. Promscale is the observability backend powered by SQL. It provides a single storage and query language for metrics and traces. Built on the dependable foundation of TimescaleDB and Postgres, it seamlessly integrates with Prometheus, Grafana, OpenTelemetry, and Jaeger and offers 100% PromQL compliance.
Financial data is time-series data. Understanding market and tick data accurately and combining that data with other sources of information is a time-series problem and the foundation of modern financial analysis. TimescaleDB is PostgreSQL with superpowers, meaning you can easily track your time-series tick data, order books, and other market data in a proven database with rock-solid reliability, and correlate it with other relational trend data at your disposal using full SQL. From historical tick data to complex financial modeling, TimescaleDB can help you build insightful products.
Total Funding: $71,100,000
Funding Stage: Series B
Business Stage: Scaling Up
Market: B2B
Company Size: 51 to 100
Founded: 2015
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