PostgreSQL ++ for time series and events
Engineered to handle demanding workloads, like time series, vector, events, and analytics data. Built on PostgreSQL, with expert support at no extra charge.
Trusted by great companies
“Our queries are really fast, taking only 100 ms for a table with around 1.4 billion rows.”
Christian Halim, engineering manager at Pintu, one of Indonesia’s leading cryptocurrency trading platforms, explains how his team inserts 5 million data rows every 30 minutes, queries more than a billion data rows in 0.1 seconds, and automatically deletes a billion data rows per day.Your engine for blazingly fast application data
Fast and scalable
Store and query data quickly and efficiently with automatic partitioning, columnar compression, and real-time aggregation. Grow effortlessly with dynamic scaling and infinite storage.
Resource/cost savings
Better engineering leads to efficient compute and storage, which results in costs savings. Save even more with compression, usage-based storage, and low-cost storage tier for rarely-accessed data.
Worry free and easy
Focus on your app not DBOps, with easy tools and features: Programmatic APIs, job scheduling, one-click forking, high availability, replication, seamless upgrades, expert support, and more.
PostgreSQL but better
Built on PostgreSQL so you can rely on rock-solid architecture and the entire ecosystem, but also get 1,000x faster queries, 90% data compression, and 100+ SQL data analysis hyperfunctions.
Built for price-performance
Speed, Scale, and Savings
Blazing-fast query speed
Up to 1000x faster queries than vanilla PostgreSQL, AWS Timestream, InfluxDB, and MongoDB. Give your users answers in milliseconds, not minutes.
Without breaking the bank
Pay only for what you store. Get 5x storage savings via columnar compression. Don’t worry about extra charges for reads, writes, or other hidden costs.
At infinite scale
Flexible scaling with independent compute and storage. Do more with less resources via database optimizations. Tier data into object storage for low-cost infinite scalability.
A smoother route from MVP to GA
Build faster
Prototype in days not weeks
Out-of-the-box productivity with purpose-built time-series features like policies for automated data aggregation, downsampling, and retention.
Using the skills you already have
Full SQL and more than 100 ready-to-go hyperfunctions to speed up complex data analysis without leaving your time-series database.
With your existing cloud-native infrastructure
Programmatic APIs and VPC Peering to safely integrate with your cloud infrastructure. Monitor with Datadog and CloudWatch. Leverage AWS Lambda, AWS IoT, AWS Kinesis, and more.
Focus on your application, not your database
Worry free and easy
Leave DBOps to us
We give you back engineering time by taking care of database tuning, continuous backups and failover, automated database upgrades, security and encryption, compliance—like SOC2 and GDPR—and all operational tasks.
Roll to prod and sleep soundly
Safely test changes with a forking workflow. Redundancy and replication across storage and Availability Zones. Integrated monitoring for DevOps. PITR for any mistakes along the way.
With free support standing by
Access to enterprise-level help via ticketing included with your Timescale subscription. Receive consultative advice from our global team of database engineers at no extra cost.
It’s PostgreSQL but better
PostgreSQL++
Get more from PostgreSQL
Scale PostgreSQL with automatic partitioning and indexing, incrementally-updated materialized views, columnar compression, and time-series hyperfunctions.
Without losing the good stuff
Keep using all the PostgreSQL features you love: data types, index types, CTEs, UDFs and more. 100% SQL. No learning curve. Seamless developer onboarding.
While using the tools you know
Leverage the entire PostgreSQL ecosystem of tools, drivers, and connectors. If it works with PostgreSQL, it works with Timescale.
Build the New Age of Computing
Internet of Things
Track the performance of millions of sensors and connected devices in real time with pinpoint geospatial and temporal accuracy.
Fintech + Crypto
Collect and analyze relentless streams of order book and blockchain data to power new trading platforms, analyze historical trends, and uncover unique insights.
Events
Understand how SaaS product usage varies over time to make data-driven decisions about user segmentation, and identify the impact of product and business decisions.
Energy & Environment
Track consumption metrics to accurately understand and forecast energy generation and consumption. Run analytics to build predictive models and visualizations.
Smart Manufacturing
Manage, monitor, and control sensor data to track production and distribution lines in real-time, identifying problems before they arise via predictive maintenance.
Join a community of 4.2M+ active Timescale databases (and counting).
Timescale's hyperfunctions significantly reduce our development time and continuous aggregates make it easier to do analysis on high volumes of data, plus with lower server costs.
Evert Van Cauwenberg
Jane.be, CTO
