Trino vs PrestoDB

Quick Verdict

Winner: toolA

Trino (the community fork) has won with faster development, larger community, and richer features. PrestoDB (the Meta fork) is still used at Meta scale. Choose Trino for most use cases; choose PrestoDB only if you're deeply integrated with the Meta ecosystem.

Introduction

Trino and PrestoDB share the same origin — the Presto distributed SQL query engine created at Facebook (now Meta). In 2019, the original Presto creators left Facebook and forked the project, renaming it **Trino** to continue community-driven development. Facebook's internal team continued developing **PrestoDB** as a separate project under the Linux Foundation. The two have diverged significantly since the split.

Feature Comparison

Feature	Trino	PrestoDB	Winner
Origin	Fork by original Presto creators (2019)	Continued by Meta engineering team	Tie
Governance	Community-driven (Trino Software Foundation)	Linux Foundation (Meta-influenced)	Tie
Development Pace	Fast (weekly releases, 800+ contributors)	Slower (Meta's internal priorities drive roadmap)	Tie
Connectors	40+ connectors (Iceberg, Delta, Hudi, etc.)	30+ connectors	Tie
Fault Tolerance	Task-level retry + exchange spooling	Query-level recovery	Tie
Security	Ranger, OPA, built-in access control	Basic security features	Tie
Managed Service	Starburst (Enterprise + Galaxy)	Ahana (less prominent)	Tie
Community	Large (14K+ GitHub stars, active Slack)	Smaller (Meta-centric)	Tie
Table Format Support	Excellent (Iceberg, Delta, Hudi — first-class)	Good (growing support)	Tie

✅ Trino Pros

Faster development with weekly releases
Larger and more active community
First-class support for modern table formats (Iceberg, Delta, Hudi)
Starburst Enterprise for commercial support
Better fault tolerance and query reliability
More connectors and broader ecosystem

⚠️ Trino Cons

Name change from Presto to Trino caused community confusion
Starburst Enterprise can be expensive
Self-hosted Trino requires cluster management expertise

✅ PrestoDB Pros

Battle-tested at Meta's extreme scale (exabytes)
Optimized for Meta's internal data infrastructure
Linux Foundation governance (vendor-neutral on paper)
Some unique features driven by Meta's requirements
Strong optimization for ORC file format

⚠️ PrestoDB Cons

Slower feature development outside Meta's priorities
Smaller community and fewer contributors
Less momentum in the broader data ecosystem
Fewer managed service options
Lagging behind Trino in modern table format support

Final Verdict

### Verdict **Choose Trino if:** * You want the most active, community-driven distributed SQL engine * You need first-class support for Iceberg, Delta Lake, or Hudi * You want commercial support via Starburst * You're building a data mesh or data lakehouse architecture * You need federated queries across diverse data sources **Choose PrestoDB if:** * You're already using PrestoDB and it meets your needs * You operate at Meta-like scale with ORC-heavy workloads * You have specific Meta-ecosystem integrations **Note:** For most new projects, Trino is the clear choice due to its larger community, faster development, and broader ecosystem support.