DuckDB vs Trino
Both are alternatives to Snowflake. Here's how they stack up — verified facts, no spin.
Also searched as Trino vs DuckDB — same comparison, one verdict.
DuckDB and Trino are closely matched on ownership (97 vs 91) — this one comes down to pricing and to which trade-offs below you can live with.
DuckDB
The warehouse you did not need — analytics in a single file, on your laptop.
DuckDB is an in-process analytical database: no server, no cluster, no account. It queries Parquet and CSV directly, runs inside Python or R, and handles hundreds of gigabytes on a normal machine. MIT, around 40k stars. Its real contribution is the uncomfortable question it poses to this whole category — a very large number of Snowflake deployments hold data that DuckDB would answer instantly, for nothing, without anyone provisioning a warehouse. Ask how much data you actually have before you shop for infrastructure to hold 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.
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.
| DuckDB | Trino | |
|---|---|---|
| Sovereignty ScoreOur transparent 0–100 composite for data ownership and exit cost. | 97 | 91 |
| Open source | Yes | Yes |
| Self-hostable | Yes | Yes |
| Local-first data | Yes | Yes |
| License | MIT | Apache-2.0 |
| Pricing | Free and open source. No server, so no hosting cost either. | Free and open source. Managed options from Starburst and others. |
| RAM to run it wellThe figure that actually matters, not the vendor's minimum. | Roughly the size of the working set you query at once | 16 GB coordinator + 16 GB per worker |
| Realistic running costWhat the box costs each month if you run it yourself. | $0 — it is an embedded library, not a server. It runs inside your process. | $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. | 5 minutes | A day for a single node, a week for a real cluster |
| Ongoing maintenanceThe part nobody budgets for. | Effectively none. There is no server to keep alive. | Moderate to high. Memory tuning is the recurring work. |
DuckDB edges it on the Sovereignty Score, but the right pick depends on the trade-offs below.
DuckDB
Strengths
- +No infrastructure at all — it is a library, not a service
- +Queries Parquet and CSV in place with no loading step
- +Handles hundreds of gigabytes on ordinary hardware
- +MIT, tiny, and embeds anywhere
Trade-offs
- −Single-machine — there is no cluster and no horizontal scale
- −Not built for many concurrent users
- −No built-in governance, access control or sharing
- −Wrong tool once you genuinely have warehouse-scale data
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
Which one fits you
The trade-offs above, turned into a decision. Find the line that describes your team.
Choose DuckDB
if a lower exit cost matters more to you than any single feature, and no infrastructure at all — it is a library, not a service.
Choose Trino
if queries data where it lives — no ingestion, no second copy.
Neither, yet
if both carry a real cost you should weigh first — single-machine — there is no cluster and no horizontal scale, and a cluster to operate, with real memory tuning. 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.
Self-hosting DuckDB
Roughly the size of the working set you query at once RAM · 5 minutes
$0 — it is an embedded library, not a server. It runs inside your process.
Self-hosting Trino
16 GB coordinator + 16 GB per worker RAM · A day for a single node, a week for a real cluster
$150–300/mo for a small cluster, against Snowflake compute credits that bill per second of query
DuckDB vs Trino — common questions
Is DuckDB a better fit than Trino for data warehouses & analytics engines?
It depends on what you are optimising for, and the honest split is this: DuckDB scores 97 to Trino's 91 on data ownership and exit cost, so it is the safer choice if you care about being able to leave. Trino earns its place on a different axis — queries data where it lives — no ingestion, no second copy. Neither is a wrong answer for every team; the table above is the actual comparison.
What happens if we want to switch later?
DuckDB keeps its data local or in open formats, so leaving is an export rather than a negotiation. Trino is still self-hostable, so the files stay on your server either way — but it is not local-first by design, so check what its export produces before you rely on it.
Can I self-host DuckDB or Trino?
Both can be self-hosted. The difference is what it costs you in time rather than whether it is possible — see the setup and maintenance rows above.
Are DuckDB and Trino 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.
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Facts verified 2026-08-03. Licenses and pricing change — spotted something out of date? That's a correction we want.