Why TimescaleDB
vs InfluxDB?

  • Better performance for high-cardinality datasets

  • Based on SQL, a widely used language developers know and love

  • PostgreSQL-based, which means rock-solid-reliability

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Supercharged PostgreSQL

Rely on the same PostgreSQL you know and love, with full SQL, rock-solid reliability, and the largest ecosystem of developer and management tools.
  • Full SQL, powerful analytics, no restrictions
  • Leverage your favorite Postgres extensions
  • Entire toolset works: ORMs, connectors, JDBC, applications
  • Connect Prometheus for all your observability metrics
  • Visualize data using the dashboards you love
-- What’s the memory consumption for -- each of my containers right now? SELECT time_bucket('10 seconds', time) AS period, container_id, avg(free_mem), min(free_mem) FROM metrics WHERE time > NOW () - interval '10 minutes' GROUP BY period, container_id ORDER BY period DESC, container_id;
Accelerated Performance

Accelerated Performance

Achieve 10-100x faster queries than Clickhouse, PostgreSQL, InfluxDB, MongoDB, and Timestream. Leverage query parallelization, continuous aggregates, and other optimizations.
  • Full SQL, powerful analytics, no restrictions
  • Leverage your favorite Postgres extensions
  • Entire toolset works: ORMs, connectors, JDBC, applications
  • Connect Prometheus for all your observability metrics
  • Visualize data using the dashboards you love

Massive scale

Write millions of data points per second and handle high-cardinality data easily.
  • Store 100s of billions of rows and 10s of TBs of data per server
  • Record billions of distinct time-series, collect everything you need
  • Best-of-breed datatype-specific compression for 16x storage capacity
Massive scale
Relational and time-series, together

Relational and time-series, together

Simplify your stack and store your relational data alongside time-series data. Ask more complex queries, build more powerful applications faster.
  • Centralize storage of time-series, application, and sensor data
  • Correlate metrics with business and system-of-record data
  • Unlimited metadata, don’t worry about cardinality of labels
  • Perform JOINs to understand relations with time-series
  • Ensure clean, correct data with foreign keys and constraints

Worry-free operations

Let us run Timescale for you, fully managed on AWS, Azure, or GCP in over 75 regions, with a top-rated support team to ensure your success.
  • Spin up a pre-configured instance in 30 seconds, pay-as-you-go
  • Effortless upgrades, fully managed without downtime
  • Automated, continuous backups with point-in-time recovery
  • Choose highly-available replicated pairs for business continuity
  • Integrated metrics, logs, security and user controls at your fingertips
Worry-free operations
Lower costs

Lower costs

Spend less with compression savings from best-in-class algorithms, including delta-delta and Gorilla, and a memory-efficient architecture.
  • Reduce storage costs with 94-97% lossless compression rate
  • Downsampling keeps aggregated metrics without wasting disk space
  • Optimize storage consumption with data retention policies
  • Transparent pricing, always know what you’ll pay
  • Dynamically scale compute and storage based on changing needs

FAQ

Timescale is the leading open-source relational database for time-series. It builds on the rock-solid reliability of PostgreSQL, expanding its performance and scalability to meet the demands of data-intensive applications dealing with time-series data. Developers often tell us that Timescale is “PostgreSQL with super-powers”!

We’ve written a guide here. All it takes is a single command!
If you are hosting it in your own instances, Timescale is 100% free to use - you can install it here. If you prefer to use a managed solution, check out Timescale Cloud, our database platform for relational and time-series data built on Timescale and PostgreSQL.
Timescale is built on PostgreSQL, so you can seamlessly integrate Timescale with any PostgreSQL-compatible platform or with any SQL-speaking tool. As we like to say: if it works with PostgreSQL, it works with Timescale. For example, you can use Timescale with Grafana, Docker, Datadog, Plotly, Debezium, Looker, MADlib, Tableau, Kafka, OmniDB, SQLAlchemy, Chartio, Mode, Zabbix and Sensu.
Yes! Timescale Cloud and Managed Service for Timescale are our cloud-hosted database-as-a-service options. You can try both of them for free for 30 days (no credit card required).
Accelerated Performance

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Are you hosting TimescaleDB yourself? TimescaleDB is available for free to run in your own environment. You can install it here.