ClickHouse vs Trino
Both are alternatives to Snowflake. Here's how they stack up — verified facts, no spin.
Also searched as Trino vs ClickHouse — same comparison, one verdict.
ClickHouse and Trino are closely matched on ownership (93 vs 91) — this one comes down to pricing and to which trade-offs below you can live with.
ClickHouse
TOP PICKAnalytical queries at a speed that reframes what you thought was slow.
ClickHouse is a columnar database built for analytical queries and it is startlingly fast — billions of rows scanned in under a second on modest hardware is routine rather than exceptional. Apache-2.0, around 49k stars, and used at scale by Cloudflare, Uber and many others. Compression is excellent, so storage costs fall as well as compute. It is the strongest technical answer on this page, and the cost is operational: schema and index design matter enormously here, and a badly designed table is slow in ways a warehouse would have hidden from you.
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.
| ClickHouse | Trino | |
|---|---|---|
| Sovereignty ScoreOur transparent 0–100 composite for data ownership and exit cost. | 93 | 91 |
| Open source | Yes | Yes |
| Self-hostable | Yes | Yes |
| Local-first data | Yes | Yes |
| License | Apache-2.0 | Apache-2.0 |
| Pricing | Free and open source. ClickHouse Cloud is a paid managed option. | Free and open source. Managed options from Starburst and others. |
| RAM to run it wellThe figure that actually matters, not the vendor's minimum. | 16 GB | 16 GB coordinator + 16 GB per worker |
| Realistic running costWhat the box costs each month if you run it yourself. | $80–150/mo for a single node handling tens of billions of rows, against thousands on Snowflake for comparable workloads | $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. | Half a day for a single node; a real cluster is a project | A day for a single node, a week for a real cluster |
| Ongoing maintenanceThe part nobody budgets for. | Moderate. Schema and ORDER BY decisions are close to permanent, merges need disk headroom, and upgrades want testing. | Moderate to high. Memory tuning is the recurring work. |
ClickHouse is Macrostack's recommended Snowflake alternative, so it's our pick here.
ClickHouse
Strengths
- +Frequently outruns Snowflake on analytical workloads, at a fraction of the cost
- +Apache-2.0 with no enterprise carve-out
- +Excellent compression — storage bills drop noticeably
- +Proven at enormous scale by well-known operators
Trade-offs
- −Schema and index design matter far more than in a warehouse
- −Updates and deletes are awkward by design
- −Operating a cluster is real work
- −Weaker governance and lineage tooling than Snowflake
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 ClickHouse
if a lower exit cost matters more to you than any single feature, and frequently outruns Snowflake on analytical workloads, at a fraction of the cost.
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 — schema and index design matter far more than in a warehouse, 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 ClickHouse
16 GB RAM · Half a day for a single node; a real cluster is a project
$80–150/mo for a single node handling tens of billions of rows, against thousands on Snowflake for comparable workloads
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
ClickHouse vs Trino — common questions
Is ClickHouse a better fit than Trino for data warehouses & analytics engines?
It depends on what you are optimising for, and the honest split is this: ClickHouse scores 93 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?
ClickHouse 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 ClickHouse 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 ClickHouse 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.
Related alternative guides
Facts verified 2026-08-03. Licenses and pricing change — spotted something out of date? That's a correction we want.