VictoriaMetrics is a time-series database and monitoring solution designed for high performance and scalability, supporting both long-term storage and fast query execution, making it ideal for handling large-scale data loads efficiently.
| Product | Mindshare (%) |
|---|---|
| VictoriaMetrics | 1.7% |
| PostgreSQL | 13.1% |
| MySQL | 11.4% |
| Other | 73.8% |
VictoriaMetrics provides a single-node, multi-node, and cluster version to suit different needs, offering high efficiency in data ingestion and querying. Known for being cost-effective and easy to operate, it excels in managing vast time-series data with minimal resource consumption. It supports Prometheus querying and alerting features, making it compatible with existing monitoring setups, simplifying integration and deployment.
What are the most important features?VictoriaMetrics is implemented across sectors like finance, telecommunications, and IoT where real-time data monitoring and management is crucial. Its high performance and scalability enable these industries to maintain robust and efficient data infrastructures, addressing their unique data handling and analytics challenges.
| Author info | Rating | Review Summary |
|---|---|---|
| Site Reliability Engineer at a tech vendor with 5,001-10,000 employees | 4.5 | I find VictoriaMetrics excellent for high-performance time-series monitoring, offering significant cost savings through efficient storage and improved query performance. Its scalability and Prometheus compatibility are great, though documentation and native UI could improve. |
| Software Engineer at a outsourcing company with 201-500 employees | 4.5 | We replaced Prometheus with VictoriaMetrics for app monitoring, significantly reducing resource usage (e.g., 70% RAM, 75% disk) and boosting performance. It's easy, stable, scalable, and PromQL-compatible. I recommend switching, though documentation needs improvement. |
