Postgres for time-series
High-performance PostgreSQL in the cloud. We've extended PostgreSQL for time-series and analytics, so you can build faster, scale further, and stay under budget.
Great companies trust Timescale
Become instantly productive with full SQL. Rely on the same PostgreSQL you know, love, and trust.
Hyperfunctions make time-series easier. Achieve 10-100x faster queries than with vanilla PostgreSQL, InfluxDB, MongoDB.
Write millions of data points per second per node. Horizontally scale to petabytes. Don’t worry about cardinality.
Simplify your stack, ask more complex questions, and build more powerful applications.
Don’t break the bank. 94-97% compression rates from best-in-class algorithms. Downsample + retention policies. Decouple compute and storage.
You’re in trusted hands. Fully-managed TimescaleDB on AWS, Azure, or GCP in just one click. Top-rated support and ops available 24/7 worldwide.
Focus on your application layer. Let Timescale Cloud handle the rest.
- Less hassle. More peace of mind with automatic backups, upgrades, and failover.
- Maximize uptime. High availability, multi-AZ, and read replicas all in one click.
- Test, deploy, and scale faster with one-click forking, dynamic resource sizing and autoscaling, plus expert support.
Time-series data is everywhere.
Financial data
Developers can combine relentless streams of financial and tick data with other business data to build new apps and uncover unique insights.
Web3 / Crypto
Web3 developers need to ingest, analyze, and explore real-time cryptocurrency data, mining metrics, and blockchain activity.
Application metrics
Developers can understand how a product is used over time, make data-driven decisions about user segmentation, and identify the impact of product and business decisions.
Internet of Things
Developers need to track the performance of millions of devices and sensors with pinpoint geospatial and temporal accuracy.
Observability
Companies need to find and address infrastructure and application issues in real-time.
Developers 💛 Timescale
A familiar, flexible database that developers already know and love.
Yes, SQL.
No need to learn any strange new query languages.
Hyperfunctions.
Native-built SQL functions to make querying time-series data easier and faster.
It's just PostgreSQL.
Use the tools, frameworks, extensions, visualizations, and everything else you already have.
“Timescale gives us better performance at a much more cost-effective price point than any other solution we looked at.”
Elango Thevar, CEO and co-founder of Neer.ai
“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, CTO at Jane.be
“By choosing Timescale, we shaved off months from our minimum viable product development time. The advanced time-series features enable us to produce top-notch market data feeds.”
Mikko Ohtamaa, CEO at Trading Strategy
“Our experience using Timescale has been fantastic. We're really impressed with the core technical innovations, particularly around hypertables and compression.”
Adam Inoue, Software Engineer, Messari
“Timescale integrated seamlessly into our AWS data pipeline with AWS IoT Greengrass, AWS Kinesis, and AWS Lambda to help power our controlled environment agriculture platform.”
Mark Thompson, Senior Infrastructure Engineer at Square Roots
active databases and counting.