Up to 1,000x better query performance compared to vanilla PostgreSQL
Millisecond response times for complex aggregate queries
Fast scans across historical data
More than 100 built-in SQL hyperfunctions for faster data analysis
Infinitely scalable
Dynamically scale compute and storage independently, only paying for what you use
Scale query capacity with read replicas and connection pools
Store infinite data by with transparent data tiering
Easily store 100s of TBs across data tiers, and still query as standard SQL tables
Cost-effective and flexibly priced
Save money with high compression rates—customers see up to 95% compression
Only pay for what you store with usage-based storage
Custom storage optimizations for time-series data and analytics
Automated data retention policies and continuous aggregations
Simplified billing, without hidden data transfer, cost-per-query, cost-per-data-scanned or backup charges
Worry free
Everything you love about PostgreSQL—excellent dev experience and a rich ecosystem of database extensions, tools, and connectors
Continuous incremental backup/recovery, point-in-time forking/branching, zero-downtime upgrades, and multi-AZ high availability
No more running out of storage space, managing disk allocations, or getting stuck in the wrong CPU/memory configuration
Top-notch consultative support to unblock any hurdles—at no extra cost
“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.
