Timescale
FundedHigh-scale time-series data platform built on PostgreSQL for real-time analytics
About Timescale
Timescale offers a robust time-series database platform built on PostgreSQL designed to handle petabyte-scale data volumes and trillions of metrics daily. It is tailored for enterprises requiring real-time and historical data analytics, particularly in industries such as energy, telecommunications, manufacturing, and crypto. The platform supports automatic partitioning, row-columnar storage, and tiered storage to optimize both write and analytic workloads efficiently.
Timescale’s solution integrates seamlessly with existing cloud providers and the broader PostgreSQL ecosystem, enabling enterprises to unify live telemetry, sensor, event, and tick data with advanced SQL-based analytics. It provides enterprise-grade security, compliance with SOC 2 Type II and GDPR, and operational reliability through high availability and automated backups. This makes it suitable for organizations seeking scalable, secure, and compliant data warehousing solutions for time-series workloads.
Key Capabilities
- ✓Automatic time- and key-based partitioning
- ✓Row-columnar storage for optimized analytics
- ✓Tiered storage with SSD and object storage
- ✓Postgres-native SQL and API access
- ✓Integration with Kafka, S3, and Iceberg lakehouse
Integrations
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