Modern Postgres
for Speed, Scale, and AI
Over 3 million Timescale databases power IoT, AI, crypto and dev tool applications. Still Postgres, but faster, scalable, and easier to use.
Time series, events, and analytics
For ingesting and querying vast amounts of live data. Our hybrid row-columnar engine makes queries up to 350x faster, ingests 44% faster and reduces storage by 95% over RDS.
RAG, search, and Al agents
We just made PostgreSQL a better database for Al with pgvectorscale & pgai. It's as fast as Pinecone, easier to use, up to 75% cheaper, and 100% open source.
Trusted by great companies
“Our queries are really fast, taking only 100 ms for a table with around 1.4 billion rows.”
Your engine for blazingly fast application data
Store and query data quickly and efficiently with automatic partitioning, columnar compression, and real-time aggregation. Grow effortlessly with dynamic scaling and infinite storage. Learn more
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.
Explore our Amazon Timestream benchmark
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.
Learn more about compression
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.
Read about our S3 object storage
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.
Explore continuous aggregates
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.
Explore hyperfunctions
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.
Learn more on VPC peering
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, encryption, all operational tasks, and SOC2, HIPAA and GDPR compliance.
Learn how we make high availability work
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.
Test your database performance
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.
Learn about Timescale Support
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.
Explore our PostgreSQL benchmark
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.
Read more on database indexes
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.
Learn more about 13 PostgreSQL tools
Build the New Age of Computing
Track the performance of millions of sensors and connected devices in real time with pinpoint geospatial and temporal accuracy.
See how we helped Density
Join a community of 3.2M active Timescale databases (and counting).
GitHub stars
18,250+
G2 score
4.7
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.
Jane.be, CTO