Amazon Timestream
Serverless time-series database for IoT, metrics, and operational telemetry
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Discover top open-source software, updated regularly with real-world adoption signals.
Unified observability database for metrics, logs, and traces
Cloud-native database built for real-time observability. Store and query metrics, logs, and traces in one system with sub-second performance at petabyte scale.
GreptimeDB is a cloud-native database purpose-built for unified observability data collection and analysis. It consolidates metrics, logs, and traces into a single system, eliminating the complexity of managing separate data stores. Written in Rust with a distributed query engine and optimized columnar storage, it delivers sub-second query responses at petabyte scale.
Designed for Kubernetes with compute/storage separation, GreptimeDB integrates natively with object storage (AWS S3, Azure Blob) and supports deployment from edge devices (including ARM/Android) to cloud environments. Developers can query data using SQL, PromQL, or streaming interfaces, and ingest through REST APIs, MySQL/PostgreSQL protocols, or popular observability protocols.
Currently in beta with GA targeted for mid-2025, GreptimeDB is already deployed by early adopters in production environments. Its architecture leverages Apache Arrow for memory management, Parquet for storage, and DataFusion for query execution, ensuring exceptional cost efficiency and performance across hybrid and multi-cloud infrastructures.
When teams consider GreptimeDB, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Unified Observability Platform
Replace separate Prometheus, Elasticsearch, and tracing backends with one database, reducing operational complexity and infrastructure costs
Edge-to-Cloud IoT Monitoring
Deploy on ARM edge devices and sync telemetry to cloud clusters for real-time analytics across distributed sensor networks
High-Cardinality Metrics Analysis
Query petabyte-scale metrics with sub-second response times using SQL or PromQL for microservices observability
Multi-Cloud Observability
Leverage native object storage integration across AWS S3 and Azure Blob for cost-efficient, cross-cloud data access
GreptimeDB stores metrics, logs, and traces as unified timestamped events. You can query all three data types using SQL, PromQL, or streaming interfaces within a single database.
GreptimeDB is currently in beta and used by early adopters in production. GA (v1.0) is targeted for mid-2025. It's suitable for evaluation and pilot deployments, with the latest stable release recommended for production trials.
Written in Rust with a distributed query engine, rich indexing, and optimized columnar storage based on Apache Arrow and Parquet, GreptimeDB delivers sub-second responses even at petabyte scale.
Yes, GreptimeDB supports flexible deployment from edge environments (including ARM and Android devices) to cloud infrastructure, with unified APIs and efficient data synchronization.
GreptimeDB supports REST APIs, MySQL and PostgreSQL wire protocols, and popular observability ingestion protocols. SDKs are available for Go, Java, C++, Erlang, Rust, and JavaScript.
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