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Why choose GreptimeDB?
Broad Ecosystem
- Embraces open-source, compatible with most open standards
- Compatible with MySQL, PostgreSQL, OpenTSDB, InfluxDB, Prometheus, etc
- Allows for fast and easy integration with your current data stack
Hybrid Time-series & Analytical Processing (HTiAP)
- Supports high-frequency and multi-dimensional read and write
- Utilizes PromQL for Observability
- SQL + Python for powerful in-database analysis
Efficient Storage and Compute
- Provides ultra-low storage cost by object storage and high data compression ratio
- Features built-in data analysis solution to avoid copying data into external data warehouse
Distributed, Reliable and Highly Available
- Enables scaling each module easily and independently with the decoupled, cloud-native architecture
- Ensures data reliability and availability by configurable replicas and auto failover mechanism
Get Involved
Know the Basics
Read the GreptimeDB developer documentation to learn how GreptimeDB works and use it better.
To the GuideAdvanced Usage
Explore the GreptimeDB user guide to learn how to use GreptimeDB's built-in features and get tutorials, data sets, and more.
Read the DocsJoin our community
Get the latest updates and discuss with other users.
