Trino vs Google BigQuery
Both are alternatives to Snowflake. Here's how they stack up — verified facts, no spin.
Also searched as Google BigQuery vs Trino — same comparison, one verdict.
Trino is open source (Apache-2.0) and Google BigQuery is not (Proprietary (hosted service)) — so the real question is whether you want to own the data warehouses & analytics engines stack or rent it.
Trino
Query everything where it already lives, without moving any of it.
Trino is a distributed SQL engine that queries data in place — S3, Postgres, MySQL, Kafka, Elasticsearch — and joins across all of them in a single statement. Apache-2.0, around 13k stars, built by the team behind Presto. The point is that it removes the loading step entirely: no ingestion pipeline, no second copy, no drift between the warehouse and the source. That is a genuinely different architecture from Snowflake rather than a cheaper version of it, and it suits organisations whose data is scattered and will stay scattered.
Google BigQuery
Serverless warehousing with no cluster to size — if you are already on GCP.
BigQuery is fully serverless: there is no warehouse to start, stop or size, you write SQL and Google works out the compute. On-demand pricing is roughly $6.25 per terabyte scanned, so a well-partitioned table can be very cheap and an unpartitioned `SELECT *` can be alarming. Included here because for a team already inside Google Cloud, the honest comparison is not open versus proprietary but which proprietary — and BigQuery's operational simplicity genuinely beats Snowflake's for infrequent workloads.
Side by side
10 points of comparison, every one read from a verified field. Green marks the side that wins a row outright. A dash means we do not hold that fact — never that it is zero.
| Trino | Google BigQuery | |
|---|---|---|
| Sovereignty ScoreOur transparent 0–100 composite for data ownership and exit cost. | 91 | 32 |
| Open source | Yes | No |
| Self-hostable | Yes | No |
| Local-first data | Yes | No |
| License | Apache-2.0 | Proprietary (hosted service) |
| Pricing | Free and open source. Managed options from Starburst and others. | About $6.25 per TB scanned on demand, or flat-rate capacity. Storage around $20/TB/month. Checked 2026-08-03. |
| RAM to run it wellThe figure that actually matters, not the vendor's minimum. | 16 GB coordinator + 16 GB per worker | — |
| Realistic running costWhat the box costs each month if you run it yourself. | $150–300/mo for a small cluster, against Snowflake compute credits that bill per second of query | — |
| Setup timeHonest first-install estimate, not the marketing quickstart. | A day for a single node, a week for a real cluster | — |
| Ongoing maintenanceThe part nobody budgets for. | Moderate to high. Memory tuning is the recurring work. | — |
Trino edges it on the Sovereignty Score, but the right pick depends on the trade-offs below.
Trino
Strengths
- +Queries data where it lives — no ingestion, no second copy
- +Joins across completely different systems in one SQL statement
- +Apache-2.0 with a large connector ecosystem
- +Proven at very large scale
Trade-offs
- −A cluster to operate, with real memory tuning
- −Only as fast as the slowest underlying source
- −No storage of its own — it is an engine, not a warehouse
- −Java operations knowledge assumed
Google BigQuery
Strengths
- +Genuinely serverless — nothing to size, start or stop
- +Cheap for infrequent queries against well-partitioned data
- +Native integration with the Google Cloud and Workspace estate
- +Strong ML and geospatial support built in
Trade-offs
- −Proprietary, hosted, and deepens Google Cloud lock-in
- −Scan-based pricing punishes careless queries severely
- −Egress costs make leaving expensive
- −Practically requires you to be on GCP already
Which one fits you
The trade-offs above, turned into a decision. Find the line that describes your team.
Choose Trino
if you want the source and the option to fork it, and you would rather run it on your own hardware, and your data should stay on machines you control.
Choose Google BigQuery
if genuinely serverless — nothing to size, start or stop.
Neither, yet
if both carry a real cost you should weigh first — a cluster to operate, with real memory tuning, and proprietary, hosted, and deepens Google Cloud lock-in. If either of those is a dealbreaker for your team, the shortlist is wrong rather than the choice.
What it takes to run these yourself
Real requirements and honest running costs, not the vendor quickstart.
Trino vs Google BigQuery — common questions
Is Trino a better fit than Google BigQuery for data warehouses & analytics engines?
It depends on what you are optimising for, and the honest split is this: Trino scores 91 to Google BigQuery's 32 on data ownership and exit cost, so it is the safer choice if you care about being able to leave. Google BigQuery earns its place on a different axis — genuinely serverless — nothing to size, start or stop. Neither is a wrong answer for every team; the table above is the actual comparison.
What happens if we want to switch later?
Trino keeps its data local or in open formats, so leaving is an export rather than a negotiation. Google BigQuery keeps your data on its own infrastructure, which is the part to plan for: confirm the export path before you commit, not when you are already trying to leave.
Is Trino free?
Trino: Free and open source. Managed options from Starburst and others.. The other side of this comparison, Google BigQuery, is priced as About $6.25 per TB scanned on demand, or flat-rate capacity. Storage around $20/TB/month. Checked 2026-08-03.. "Free" here means no licence fee — if you self-host it you still pay for the server, and the running cost row above is our honest estimate of that.
Can I self-host Trino?
Trino can be self-hosted; Google BigQuery cannot, so it stays on the vendor's infrastructure whatever you do.
Are Trino and Google BigQuery both alternatives to Snowflake?
Yes — both appear in our Snowflake comparison, which is why they are worth putting side by side. People usually arrive here already having decided to move off Snowflake and now choosing between the two replacements, which is a narrower and much easier question.
Related alternative guides
Facts verified 2026-08-03. Licenses and pricing change — spotted something out of date? That's a correction we want.