#73
A
Rank #14
VictoriaMetrics
A high-performance, Prometheus-compatible time-series database built for long-term storage and massive scale. Standout trait is dramatically better compression and query performance than vanilla Prometheus at the same hardware cost.
84.3
/ 100
⚙ Full Stack
Go application available as both a single-node binary and a horizontally-scalable cluster (vminsert/vmselect/vmstorage components), speaking the Prometheus remote-write/query protocols with its own optimized columnar storage format.
📈 Scaling Analysis
Purpose-built for horizontal scale — the cluster edition separates ingestion, storage, and query into independently scalable components, and its storage engine handles far higher cardinality and retention than stock Prometheus on the same hardware.
🚀 Running on Nexlayer
Single-node mode fits one pod; cluster mode maps each of vminsert/vmselect/vmstorage to its own pod set, addressed via <podName>.pod:<port> for inter-component traffic. Use mirror.gcr.io for the base image layers if building custom variants.