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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​ | Time-Series Database​ | Time-Series Database​ |
| Value model​ | Multi-Value​ | Single-Value​ |
| Multi-model​ | Metrics​, Logs & Events​ | 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 ​ |
