Can write millions of data points per second without giving up flexibility
Delivers millisecond-response times across historical data and complex aggregate queries
Scale
Increased analytic query performance with seamless row-columnar storage
Advanced type-specific compression algorithms that save 80%-95% on storage space—without dropping performance
Transparently converts rows to columnar storage
Savings
Grow your application not your spend
Features like automated data retention policies: continuous aggregation to help you control how much storage you use
Ability to tier data to bottomless object storage to further reduce storage footprint and costs
Worry free
Expert-level support for database management and optimization
The Postgres reliability and ecosystem you know and trust
Continuous incremental backup/ recovery, point-in-time forking/branching, zero-downtime upgrades, and multi-AZ high availability
Experienced global ops/support team that manages Postgres at scale every day
“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.