VictoriaMetrics
Application monitoring and observability platform
VictoriaMetrics is an open-source, high-performance, cost-effective time-series database that is designed for handling big data metrics and logs. It provides scalable, fast, and efficient storage for large amounts of time-series data. VictoriaMetrics is optimized for working with Prometheus and Graphite data and is compatible with the Prometheus query language (PromQL). One of the key features of VictoriaMetrics is its speed and scalability. It is designed to handle large amounts of data and can be used in a variety of scenarios, including high-traffic websites, IoT devices, and machine learning applications. VictoriaMetrics is also designed to be cost-effective, as it can run on commodity hardware and can be used in a variety of cloud environments, including AWS, GCP, and Azure. VictoriaMetrics supports a wide range of data sources, including Prometheus, Graphite, OpenTSDB, InfluxDB, and others. It also provides a variety of data export options, including CSV, JSON, and Prometheus remote write. In addition to its time-series database, VictoriaMetrics also provides a variety of tools for monitoring and analyzing time-series data. These tools include Grafana dashboards, Prometheus-compatible alerting rules, and a command-line tool for querying and processing time-series data. Overall, VictoriaMetrics is a powerful and flexible tool for storing, analyzing, and visualizing time-series data. Its speed, scalability, and cost-effectiveness make it an attractive option for organizations looking to manage large amounts of time-series data.