Databases · head to head
DataGrip vs Trino

DataGrip
Databases
Cross-platform database IDE from JetBrains for SQL and NoSQL databases
- From
- Free
- Free plan
- Yes

Trino
Databases
A distributed SQL engine that queries data where it already lives, across object storage, warehouses and operational databases.
- From
- Free
- Free plan
- Yes
The short version
- Trino is free; DataGrip starts at $8.25/mo.
- Only DataGrip lists intelligent SQL Completion; only Trino lists federated querying.
- Where DataGrip falls short: commercial use requires a paid subscription; the free tier is non-commercial only.
- Prices and features on this page were last checked on 13 November 2026.
Where they differ
Only the attributes on which DataGrip and Trino actually diverge.
Identical on both: starting price (Free), free tier (Yes), category (Databases).
Not yet recorded: founded for Trino.
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in DataGrip
- Intelligent SQL Completion
- Schema Navigation
- Data Editor
- Version Control for Scripts
- Multi-database Support
Only in Trino
- Federated querying
- Connector architecture
- Predicate and aggregation pushdown
- Massively parallel execution
- Fault-tolerant execution
- Resource groups
- Iceberg and Delta table support
- Standard client protocols
What people use each for
The jobs each tool is most often brought in to do.
DataGrip
- Writing and running SQL queries across multiple database enginesnot Trino
- Browsing and editing schema and table data visuallynot Trino
- Version-controlling database migration scriptsnot Trino
- Standardizing database tooling across a JetBrains-based teamnot Trino
Trino
- Ad hoc analysis that spans a data lake and one or more operational databases, without building an ingestion pipeline firstnot DataGrip
- Serving a BI tool a single SQL endpoint over an estate that is actually several separate storage systemsnot DataGrip
- Querying Iceberg or Delta tables on object storage interactively, as the compute layer of a lakehousenot DataGrip
- Investigating whether a dataset is worth ingesting, by querying it in place before committing to a pipeline for itnot DataGrip
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
DataGrip
- Commercial use requires a paid subscription; the free tier is non-commercial only
- No built-in database administration features like backup scheduling found in dedicated DBA tools
- Heavier resource footprint than lightweight single-purpose SQL clients
- NoSQL support (e.g. MongoDB) is less mature than its relational database tooling
Trino
- Trino stores nothing and computes no statistics of its own, so the plan it produces is only as good as the partitioning, file sizes and table statistics on the source; a Hive table of thousands of small files or a lake with no stats produces a slow query the engine cannot improve
- Federated queries pull data out of the systems they touch, so a join between a lake table and a production Postgres can put a full table scan onto an OLTP database that other applications depend on, and the person who wrote the query will not see the incident it causes
- Releases come roughly every one to two weeks with no community long-term support line, and deprecations arrive quickly, so you either dedicate someone to keeping current or you buy Starburst Enterprise for a supported long-term version
- It is memory-based and disk spilling was deprecated in favour of fault-tolerant execution, so a query exceeding cluster memory fails outright rather than degrading; enabling fault-tolerant execution requires an external exchange store on object storage and makes queries measurably slower
- It is a query engine and not a warehouse: there is no built-in job scheduling, no incremental materialised view maintenance and no transformation framework, so producing curated tables still needs dbt or an equivalent layer that somebody has to own
- The 2020 fork split the ecosystem, so documentation, connectors, Stack Overflow answers and vendor material written before then describe PrestoDB, which is now a different project with different behaviour, and following the wrong one wastes real time
Pricing, plan by plan
DataGrip
Free- Free (non-commercial)Free
- Personal, non-commercial use only
- Individual - Year 1$99/yr
- Full DataGrip license
- Free updates during subscription
- Individual - Year 2+$79/yr
- Continuity discount from second year onward
Trino
FreeNo published plan breakdown. See the Trino review.
Which should you pick?
Choose DataGrip if
- You need intelligent sql completion.
- You want to start without paying.
- You work on Windows, macOS, Linux.
- You also want schema navigation.
Choose Trino if
- You need federated querying.
- You want to start without paying.
- You also want connector architecture.
Questions people ask
- Is DataGrip or Trino better?
- Neither clearly leads. DataGrip starts at Free and Trino at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, DataGrip or Trino?
- DataGrip starts at Free and Trino at Free.
- Does DataGrip or Trino run on more platforms?
- DataGrip runs on Windows, macOS, Linux. Trino runs on Web.
- Can I use DataGrip for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is DataGrip best used for?
- DataGrip is most often used for writing and running sql queries across multiple database engines, browsing and editing schema and table data visually, version-controlling database migration scripts, standardizing database tooling across a jetbrains-based team. Of those, writing and running sql queries across multiple database engines and browsing and editing schema and table data visually are not what Trino is typically brought in for.
- What can DataGrip do that Trino cannot?
- DataGrip covers Intelligent SQL Completion, Schema Navigation, Data Editor, Version Control for Scripts. Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.
Answered from the vendors’ own pages
DataGrip: Is DataGrip free for personal use?
JetBrains introduced a free non-commercial license for DataGrip in October 2025, allowing personal use, while commercial use still requires a paid annual or monthly subscription.
SourceTrino: What is the difference between Trino and Presto?
They share an origin. The original creators left Meta and renamed their fork from PrestoSQL to Trino in December 2020; PrestoDB continues separately under the Linux Foundation. They have diverged in features, connectors and SQL behaviour, so material written for one may not apply to the other.
DataGrip: Who qualifies for the free non-commercial license?
Only individuals are eligible, for uses like learning, open-source work, or content creation. Anyone paid by an employer, including at a non-profit, must use a commercial license instead.
SourceTrino: Does Trino replace my data warehouse?
Not on its own. It is compute without storage, scheduling or transformation. Paired with Iceberg or Delta on object storage and something like dbt for modelling it can serve as a lakehouse; used alone it is a query layer over what you already have.
DataGrip: How long does the free non-commercial license last?
It lasts one year and auto-renews if DataGrip was used at least once in the final six months; otherwise you can simply reapply for a new license.
SourceTrino: Why is my federated query slow?
Usually because a connector could not push a filter or aggregation down, so Trino is pulling whole tables across the network to join them itself. The fix is usually better source-side partitioning or statistics, or ingesting that source rather than federating it.
DataGrip: Does the free license have fewer features than the paid version?
No, it is a full-featured IDE identical to the paid version, though it requires anonymized telemetry sharing that cannot be opted out of under the non-commercial agreement.
SourceTrino: What happens when a query runs out of memory?
It fails. Disk spilling was deprecated in favour of fault-tolerant execution, which checkpoints to an external exchange store such as S3 and lets long queries survive memory pressure and worker loss, at the cost of noticeably slower execution.
DataGrip: Can I use DataGrip offline with the free license?
No, activation requires logging into a JetBrains Account; offline activation codes are not available for the free non-commercial license.
SourceTrino: Is there commercial support?
Yes, from Starburst, which offers Starburst Enterprise with long-term supported releases and Starburst Galaxy as a managed service. The open source project itself has no long-term support line.
Related pages
Other head to heads
- DataGrip vs RavenDB
- DataGrip vs Couchbase
- DataGrip vs DynamoDB
- DataGrip vs Oracle Database
- DataGrip vs Cassandra
- DataGrip vs Microsoft SQL Server
- DataGrip vs Firebase Realtime Database
- DataGrip vs IBM Db2
- DataGrip vs MongoDB
- DataGrip vs ScyllaDB
- DataGrip vs Cockroach Labs
- DataGrip vs DuckDB
- DataGrip vs Immuta
- DataGrip vs MariaDB
- DataGrip vs Materialize
- DataGrip vs TimescaleDB
- DataGrip vs CouchDB
- DataGrip vs Dremio
- DataGrip vs Presto
- DataGrip vs StarRocks
- DataGrip vs Turso
- DataGrip vs Readyset
- DataGrip vs BigQuery
- DataGrip vs Apache Doris
- DataGrip vs LanceDB
- DataGrip vs RisingWave
- DataGrip vs Timeplus
- DataGrip vs turbopuffer
- DataGrip vs Canary Labs
- DataGrip vs Chroma
- DataGrip vs Cloudinary
- DataGrip vs Convex
- DataGrip vs Dgraph
- DataGrip vs Dragonfly
- Trino vs RavenDB
- Trino vs Couchbase
- Trino vs DynamoDB
- Trino vs Oracle Database
- Trino vs Cassandra
- Trino vs Microsoft SQL Server
- Trino vs Firebase Realtime Database
- Trino vs IBM Db2
- Trino vs MongoDB
- Trino vs ScyllaDB
- Trino vs Cockroach Labs
- Trino vs DuckDB
- Trino vs Immuta
- Trino vs MariaDB
- Trino vs Materialize
- Trino vs TimescaleDB
- Trino vs CouchDB
- Trino vs Dremio
- Trino vs Presto
- Trino vs StarRocks
- Trino vs Turso
- Trino vs Readyset
- Trino vs BigQuery
- Trino vs Apache Doris
- Trino vs LanceDB
- Trino vs RisingWave
- Trino vs Timeplus
- Trino vs turbopuffer
- Trino vs Canary Labs
- Trino vs Chroma
- Trino vs Cloudinary
- Trino vs Convex
- Trino vs Dgraph
- Trino vs Dragonfly
