VictoriaMetrics
UnclaimedSimple, reliable, and efficient monitoring for everyone, built by engineers for engineers.
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What is VictoriaMetrics?
VictoriaMetrics (monitoring): Simple, reliable, and efficient monitoring for everyone, built by engineers for engineers. VictoriaMetrics is a high-performance, cost-efficient, and scalable open-source monitoring solution designed for time series data. It offers a comprehensive observability stack including metrics, logs (VictoriaLogs), and traces (VictoriaTraces), making it suitable for a wide range of environments from personal labs to large-scale distributed systems. Key capabilities: High-performance time series database, Logs database (VictoriaLogs) with full-text search, Distributed tracing database (VictoriaTraces), Prometheus remote storage compatibility, Support for multiple data ingestion protocols (Graphite, OpenTSDB, InfluxDB, CSV). VictoriaMetrics ships a free plan plus paid tiers that unlock as usage grows. Buyers most often compare VictoriaMetrics against Prometheus, SigNoz, New Relic.
TL;DR - VictoriaMetrics
- High-performance, scalable, and cost-efficient open-source monitoring solution.
- Comprehensive observability stack for metrics, logs, and traces.
- Prometheus-compatible with superior data compression and fast query performance.
Pricing: Free plan available
Best for: Growing teams
Pros & Cons
Pros
- Significantly reduces compute and storage costs compared to alternatives.
- Exceptional data compression allows for storing more data for longer periods.
- High performance for data ingestion and querying, even with massive datasets.
- Easy to set up and operate, with a single binary and no extra dependencies.
- Open-source core with strong community support and enterprise options for advanced needs.
Cons
- Specific cons are not explicitly mentioned in the provided text, but as with any complex system, there could be a learning curve for advanced features or self-hosting.
Ratings Across the Web
5(3 reviews)
Ratings aggregated from independent review platforms. Learn more
Preview
Key Features
High-performance time series databaseLogs database (VictoriaLogs) with full-text searchDistributed tracing database (VictoriaTraces)Prometheus remote storage compatibilitySupport for multiple data ingestion protocols (Graphite, OpenTSDB, InfluxDB, CSV)Single instance and clustered deployment optionsKubernetes operator for automated managementAnomaly Detection powered by Machine Learning (Enterprise)
Pricing Plans
Open Source
Free
- High-performance time series database & monitoring solution (VictoriaMetrics)
- Logs database for mission-critical logging (VictoriaLogs)
- Database for storing & querying distributed tracing data (VictoriaTraces)
Enterprise
Contact us
- Expert support & guidance for even the most complex monitoring & observability setups (VictoriaMetrics Enterprise)
- Out-of-the-box, fully managed observability (VictoriaMetrics Cloud)
- Optimised observability with AI (VictoriaMetrics Anomaly Detection)
- Enterprise-grade technical support by our engineering team
- Flexible & agile handling of any kind of use case & integration
About VictoriaMetrics
By Toolradar Team·
VictoriaMetrics is a high-performance, cost-efficient, and scalable open-source monitoring solution designed for time series data. It offers a comprehensive observability stack including metrics, logs (VictoriaLogs), and traces (VictoriaTraces), making it suitable for a wide range of environments from personal labs to large-scale distributed systems. It's particularly well-suited for users experiencing performance issues or high costs with other monitoring solutions like Prometheus or Grafana Cloud.
The platform is built for operational simplicity, offering a single binary and Kubernetes operator for easy deployment and management. It boasts superior data compression, enabling users to store significantly more data with less disk space and RAM, leading to substantial cost savings. VictoriaMetrics is compatible with various data ingestion protocols, including Prometheus, Graphite, OpenTSDB, InfluxDB, and CSV, and provides lightning-fast data ingestion and querying capabilities.
Beyond its open-source offerings, VictoriaMetrics provides enterprise solutions with enhanced features like anomaly detection, multi-tenant support, automated backups, and priority technical support. It also offers a fully managed cloud service for those seeking a hands-off approach to observability, further reducing total cost of ownership.
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VictoriaMetrics FAQ
How does VictoriaMetrics achieve its reported 10x more data storage compared to competing offerings?
VictoriaMetrics utilizes advanced compression algorithms to significantly reduce the disk space required for storing metrics. This allows users to either save storage costs or retain 10 times more metrics within the same physical disk footprint.
What specific components are included in the open-source VictoriaMetrics ecosystem?
The open-source VictoriaMetrics ecosystem includes VictoriaMetrics Single for smaller environments, VictoriaMetrics Cluster for scalable deployments, vmagent for metric collection, vmbackup/vmrestore for data management, vmalert for alerting, vmoperator for Kubernetes, vmauth for authentication, and vmctl for data migration.
Can VictoriaMetrics integrate with existing Prometheus setups for long-term storage?
Yes, VictoriaMetrics is designed to be a drop-in replacement and an ideal solution for long-term storage for Prometheus. It is backwards compatible with Prometheus, allowing for smooth integration into existing monitoring clusters.
What are the key benefits of using VictoriaLogs in VictoriaMetrics Cloud for log management?
VictoriaLogs in VictoriaMetrics Cloud offers fast, cost-effective log management with native OpenTelemetry support. It includes LogsQL for powerful analysis and integrates with Grafana and Perses for comprehensive observability monitoring.
How does VictoriaMetrics Anomaly Detection enhance observability?
VictoriaMetrics Anomaly Detection is a lightweight service that uses machine learning to identify irregularities within metrics data. It helps reduce Mean Time to Resolution (MTTR), efficiently handles complex metrics, detects anomalies in interconnected metrics, and minimizes alerting rule maintenance.
What kind of scalability does VictoriaMetrics offer for data ingestion?
VictoriaMetrics provides linear vertical and horizontal scalability for every component. It can scale from handling millions of metrics per second on a single instance to hundreds of millions of metrics per second with its cluster version.
Source: victoriametrics.com