# VictoriaMetrics vs TimescaleDB: 2026 Empirical Benchmark & Cost Shootout

> **Direct Answer (October 2026 Verdict)**: VictoriaMetrics wins for ultra-high ingestion throughput, PromQL compatibility, and 7x lower RAM consumption across 17.9k+ GitHub stars (99.0), while TimescaleDB wins for full PostgreSQL ecosystem integration, SQL joins, and relational ACID transactions across 23.7k+ GitHub stars (98.6).

- **Category**: Ultra-Low RAM PromQL TSDB vs PostgreSQL-Native SQL Hypertables Shootout
- **Canonical URL**: https://exactbaseline.com/vs/victoriametrics-vs-timescaledb
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## VictoriaMetrics Key Advantages
- 17,920+ GitHub stars as the premier ultra-efficient PromQL time-series monitoring engine
- Consumes up to 7x less RAM than Prometheus with 10x-15x on-disk metric compression
- Cuts commercial Datadog custom metric charges down to $190/mo self-hosted (-95.8%)

## TimescaleDB Key Advantages
- 23,740+ GitHub stars as the definitive PostgreSQL extension for time-series and analytics
- Automated time-based hypertables support standard SQL joins with relational business data
- Native continuous aggregates and columnar compression cut PostgreSQL storage by up to 95%