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About VictoriaMetrics
VictoriaMetrics is an open-source time-series database and monitoring solution designed for collecting, storing, and analyzing high volumes of time-series data. It is optimized for performance, scalability, and efficient use of resources, making it suitable for use cases that involve monitoring systems, applications, and infrastructure metrics.
GreptimeDB vs. VictoriaMetrics
| Feature/Aspect | GreptimeDB | VictoriaMetrics |
|---|---|---|
| Data Model | Observability Database | Time-Series Database |
| Value model | Multi-Value | Single-Value |
| Multi-model | Metrics, Logs & Traces | Metrics |
| Ingestion Protocols | SQL gRPC InfluxDB Line Protocol Prometheus Remote Storage OpenTelemetry | Pull-based Scraping Prometheus Remote Storage |
| Query Languages | SQL & PromQL | MetricQL (PromQL-like) |
| Continuous Aggregation | Yes (in SQL) | Yes (Streaming aggregation) |
| Use cases | Monitoring, observability, IoT data analysis, real-time analytics | Monitoring, observability |
| Architecture | Cloud-native and flexible architecture, scaled from edge to cloud. | Stores time series data in a custom, efficient, local storage format. It can be deployed as a single binary on a server or a cluster. |
| Storage Format | Apache Parquet | Custom storage format |
| License | Apache 2.0 | Apache 2.0 |
| 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. | Horizontal scale with cluster version, supports replication for high availability and performance |
| Written Language | Rust | Golang |
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