An open-source observability database that unifies metrics, logs, and traces into a single engine, replacing Prometheus, Loki, and Elasticsearch.
GreptimeDB is an open-source observability database that consolidates metrics, logs, and traces into a single, unified data model. It solves the problem of operational complexity and high costs associated with maintaining separate databases for each telemetry signal by providing one scalable engine built on cost-effective object storage.
DevOps engineers, SREs, and platform teams managing large-scale observability stacks who are struggling with the scaling limitations of Prometheus or the cost and complexity of running multiple specialized databases.
Developers choose GreptimeDB for its ability to drastically cut observability costs (up to 50x), simplify architecture by replacing three systems with one, and provide powerful analysis through both SQL and PromQL on a highly scalable, cloud-native platform.
The open-source Observability 2.0 database. One engine for metrics, logs, and traces — replacing Prometheus, Loki & ES.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Consolidates metrics, logs, and traces into one database, replacing the need for separate systems like Prometheus, Loki, and Elasticsearch, as stated in the key features.
Uses object storage such as S3 as primary storage, achieving up to 50x lower costs compared to traditional solutions, highlighted in the features.
Supports both PromQL for monitoring and SQL for deep analysis, eliminating the requirement for a separate data warehouse, per the key features.
Built with a columnar engine in Rust with fulltext and skipping indexes, enabling sub-second queries at petabyte scale, mentioned in the performance section.
Currently in Release Candidate status with v1.0 GA planned for March 2026, meaning it lacks the long-term stability, extensive production hardening, and mature ecosystem of established alternatives.
While cost-effective, relying on object storage for primary data can result in higher query latency compared to in-memory or local storage systems, which may not suit latency-sensitive applications.
Production deployments in distributed mode require managing separate components (frontend, datanode, metasrv), adding operational overhead compared to simpler, monolithic databases like standalone Prometheus.
GreptimeDB is an open-source alternative to the following products:
Elasticsearch is a distributed, RESTful search and analytics engine capable of addressing a growing number of use cases, built on Apache Lucene.
Loki is a horizontally-scalable, highly-available log aggregation system inspired by Prometheus, designed to store and query logs from applications and infrastructure.