Trino pricing guide details
Pricing Overview
Trino operates on a dual-track pricing model that we find genuinely appealing for data teams at any stage. The core Trino engine is completely free and open source under the Apache 2.0 license. You download it, self-host it, and run distributed SQL queries across your entire data ecosystem without paying a dime in licensing fees. For teams that want a managed experience without the operational overhead, Trino's cloud offering starts at $12/month. This is a freemium model in the truest sense: the open-source edition is not a stripped-down trial but the full production-grade query engine used by some of the largest organizations in the world. The cloud tier layers on managed infrastructure, monitoring, and simplified cluster operations for teams that prefer to focus on queries rather than cluster management.
Plan Comparison
| Feature | Trino (Self-Hosted) | |---|---|---| | Price | Free | Starting at $12/month | | License | Apache 2.0 | Commercial | | Distributed SQL Engine | Full access | Full access | | Query Federation | Yes | Yes | | 50+ Data Connectors | Yes | Yes | | ANSI SQL Support | Yes | Yes | | In-Place Analysis (S3, HDFS, MySQL, Cassandra) | Yes | Yes | | Cluster Management | Self-managed | Fully managed | | Monitoring & Alerting | DIY (Prometheus, Grafana) | Built-in | | Auto-Scaling | Manual configuration | Automated | | Support | Community (Slack, GitHub) | Commercial support | | Cloud Deployment | AWS, Azure, GCP (you provision) | Provider-managed | | Security & Access Control | Self-configured | Managed policies |
Trino is a single open-source engine; the managed services built on it are sold by third parties such as Starburst. The difference is purely operational. If your team has the infrastructure expertise to manage coordinator-worker clusters, configure connectors, and handle scaling, the free self-hosted path delivers identical query performance. The $12/month cloud entry point is for teams that value managed infrastructure over full control.
Hidden Costs and Considerations
Self-hosting Trino is free in licensing but not in total cost of ownership. You will need compute infrastructure for your coordinator and worker nodes, and costs scale with cluster size. Expect to budget for cloud VM instances, storage I/O charges, and the engineering time to maintain, monitor, and upgrade your deployment. Network egress fees apply when querying across cloud regions. The cloud managed offering at $12/month is a starting price; actual costs depend on cluster size, query volume, and compute resources provisioned. We recommend budgeting for monitoring tooling and a dedicated platform engineer for any production self-hosted deployment.
How Trino Pricing Compares
We compared Trino against other tools in the data warehouse and analytics engine space to give you a clearer picture of where it stands.
| Tool | Free Tier | Paid Starting Price | Pricing Model | Key Difference |
|---|---|---|---|---|
| Trino | Full engine (self-hosted) | $12/month (cloud) | Freemium | Full open-source engine at no cost; cloud adds managed ops |
| Neo4j | AuraDB Free tier | $65/GB/month (AuraDB Professional) | Freemium | Graph database focus; free tier is limited; paid tier is significantly higher |
| InfluxDB | self-hosted | $250/month (cloud) | Open Source | Time-series specialist; cloud tier over 20x Trino's entry price |
| MotherDuck | Free tier (1 user) | $25/month (Pro) | Freemium | Serverless DuckDB; lower operational burden but narrower query federation |
Trino stands out in this group because its free tier is not artificially constrained. Self-hosted Trino is the exact same codebase used in production by companies querying exabyte-scale data lakes. Among the competitors listed, Trino offers the lowest cloud entry price at $12/month, while InfluxDB's managed offering starts at $250/month and Neo4j's paid tier begins at $65/GB/month. MotherDuck's $25/month Pro tier is closer in price but serves a different architectural niche as a serverless DuckDB platform rather than a distributed federation engine.