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About TimescaleDB
TimescaleDB is a robust open-source time-series database built as an extension on top of PostgreSQL. It leverages PostgreSQL's proven reliability and features while adding time-series capabilities, making it suitable for various applications that require efficient time-series data management.
GreptimeDB vs. TimescaleDB
| Feature/Aspect | GreptimeDB | TimescaleDB |
|---|---|---|
| Data Model | Observability Database | Time-Series Database |
| Value model | Multi-Value | Multi-Value |
| Multi-model | Metrics, Logs & Traces | Metrics |
| Ingestion Protocols | SQL gRPC InfluxDB Line Protocol Prometheus Remote Storage OpenTelemetry | SQL |
| Query Languages | SQL & PromQL | SQL |
| Continuous Aggregation | Yes (in SQL) | Yes (in SQL) |
| Use cases | Monitoring, observability, IoT data analysis, real-time analytics | Monitoring, observability, IoT, real-time analytics,financial market data |
| Architecture | Cloud-native and flexible architecture, scaled from edge to cloud. | Implemented as an extension on PostgreSQL |
| Storage Format | Apache Parquet | PostgreSQL data format Apache Parquet for object storage tier |
| License | Apache 2.0 | Timescale License (for TimescaleDB Community Edition) Apache 2.0 (for core PostgreSQL) |
| Scalability | Opensource both single-node and cluster versions.By leveraging Object Storage (S3, and others), separating compute and storage will lead to scaling stateless compute nodes arbitrarily. | Only supports single-node deployments for open-source release.Scaling out across multiple-node deployments based on distributed hypertables. |
| Written Language | Rust | C |
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