VictoriaMetrics is an open-source time series database and monitoring solution designed for high performance and scalability. It efficiently stores, retrieves, and manages large volumes of time series data, making it suitable for use cases like monitoring systems, IoT applications, and real-time analytics. It supports Prometheus querying API and can be used as a long-term storage backend for Prometheus metrics.
VictoriaMetrics
VictoriaMetrics is an open-source time series database and monitoring solution designed for high performance and scalability. It efficiently stores, retrieves, and manages large volumes of time series data, making it suitable for use cases like monitoring systems, IoT applications, and real-time analytics. It supports Prometheus querying API and can be used as a long-term storage backend for Prometheus metrics.
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Database Technologies

About VictoriaMetrics
VictoriaMetrics was created in 2018 to address the need for a high-performance, scalable time series database capable of handling large volumes of data efficiently. It was designed to support modern monitoring and analytics requirements, particularly for use cases involving Prometheus metrics. Its development focused on providing a solution that could store, retrieve, and manage time series data with high efficiency and reliability.
VictoriaMetrics' strengths include high performance, scalability, efficient data compression, and compatibility with Prometheus. Its weaknesses may involve a steeper learning curve for users unfamiliar with time series databases and limited support for non-time series data types. Competitors include Prometheus, InfluxDB, TimescaleDB, and Graphite.
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How to hire a VictoriaMetrics expert
A VictoriaMetrics expert must have skills in time series data management, proficiency with PromQL for querying data, and experience in configuring and deploying VictoriaMetrics in various environments. Knowledge of integrating VictoriaMetrics with monitoring systems like Prometheus is essential, along with understanding data ingestion methods and optimization techniques for performance tuning.
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