TSDB.ai is the most Storage Efficient Time Series Database on the planet with Native AI capabilities. Connect OpenAI or Anthropic Claude to the built-in Vector and MCP servers and chat with your data.
Compressed stored size from raw time series input
| Engine | Stored Size |
|---|---|
| Prometheus | 96 GB |
| VictoriaMetrics | 38.4 GB |
| TSDB.aiBest | 19.2 GB |
| Engine | Stored Size |
|---|---|
| Prometheus | 96 TB |
| VictoriaMetrics | 38.4 TB |
| TSDB.aiBest | 19.2 TB |
Plug in your active time series and retention period to compare real-world monthly storage costs across AWS, Google Cloud, and Azure.
Try the storage cost calculatorEverything you need to observe and understand your systems at any scale.
A fully integrated Model Context Protocol server. Any LLM or AI agent can query live time series, trigger anomaly detection, and read forecasts directly — no middleware, no custom glue code.
Time series and anomaly events are embedded and indexed automatically. Ask semantic questions in plain English and get back exact metric windows — no SQL, no PromQL required.
Pro adds intelligent alerting, deep root cause analysis, and team chat integrations. One license, unlimited users on your instance.
Already using Prometheus? Add two lines to your configuration and start sending data to TSDB.ai. Your existing dashboards, alerts, and PromQL queries continue to work without modification.
Self-host TSDB.ai locally or in Docker. Go 1.23+ and Node.js 18+ are the only dependencies.
git clone https://github.com/tsdbai/tsdb.ai
cd tsdb.ai/v0.9
# Start all services
./install/local/start-server.sh
# In a new terminal — start the admin UI
./install/local/start-ui.sh
# UI → http://localhost:3000