Time-series platform for metrics and events
Timescale
Time-series database built on PostgreSQL
About Timescale
Timescale is a PostgreSQL time-series platform built for developers and data teams who need to store time-series data while keeping full SQL and Postgres tools. It provides hypertables continuous aggregates and compression, so teams can scale time-series workloads on a familiar database bolting time-series hacks onto generic stores. The workflow keeps setup practical for everyday use, with documentation and integrations that fit existing stacks rather than forcing a complete replacement of tools a team already relies on daily.
Timescale key facts
- Category: Data & Analytics
- Pricing: Freemium — a free tier lets you start, and paid plans are available if you need more.
- Focus areas: time series, postgresql, database
- Official site: timescale.com
About the Data & Analytics category
Analytics and BI platforms that turn raw data into clear insights. The Data & Analytics category on Tools Hub currently lists 712 tools. Alongside Timescale, it includes InfluxDB, Apache Spark, Apache Flink, Apache Kafka.
More in Data & Analytics
Comparing tools in the Data & Analytics category? These related listings are worth a look: InfluxDB — Time-series platform for metrics and events; Apache Spark — Unified engine for large-scale data analytics; Apache Flink — Stream processing framework for data pipelines.
Unified engine for large-scale data analytics
Stream processing framework for data pipelines
Distributed event streaming platform
Data streaming platform built on Apache Kafka
Kafka-compatible streaming data platform