Thanos vs VictoriaMetrics

Developers should learn and use Thanos when they need to scale Prometheus beyond a single instance, especially in Kubernetes or multi-cluster environments where long-term metric storage and global querying are required meets developers should learn victoriametrics when building scalable monitoring systems that require handling large volumes of time-series data with high performance and cost-efficiency, such as in cloud-native environments or iot applications. Here's our take.

Thanos

Nice Pick

Developers should learn and use Thanos when they need to scale Prometheus beyond a single instance, especially in Kubernetes or multi-cluster environments where long-term metric storage and global querying are required

Pros

• It is ideal for organizations with large-scale monitoring needs, such as those running microservices architectures, as it provides high availability, cost-effective storage via object stores like S3, and seamless integration with existing Prometheus setups
• Related to: prometheus, kubernetes

Cons

• Specific tradeoffs depend on your use case

VictoriaMetrics

Developers should learn VictoriaMetrics when building scalable monitoring systems that require handling large volumes of time-series data with high performance and cost-efficiency, such as in cloud-native environments or IoT applications

Pros

• It is particularly useful for long-term storage of Prometheus metrics, reducing operational overhead compared to running Prometheus alone, and offers features like downsampling and data retention policies
• Related to: prometheus, grafana

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. Thanos is a tool while VictoriaMetrics is a database. We picked Thanos based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Thanos wins

Based on overall popularity. Thanos is more widely used, but VictoriaMetrics excels in its own space.