ClickHouse vs DuckDB
Both are alternatives to Snowflake. Here's how they stack up — verified facts, no spin.
Also searched as DuckDB vs ClickHouse — same comparison, one verdict.
ClickHouse and DuckDB are closely matched on ownership (93 vs 97) — 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.
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.
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 | DuckDB | |
|---|---|---|
| Sovereignty ScoreOur transparent 0–100 composite for data ownership and exit cost. | 93 | 97 |
| Open source | Yes | Yes |
| Self-hostable | Yes | Yes |
| Local-first data | Yes | Yes |
| License | Apache-2.0 | MIT |
| Pricing | Free and open source. ClickHouse Cloud is a paid managed option. | Free and open source. No server, so no hosting cost either. |
| RAM to run it wellThe figure that actually matters, not the vendor's minimum. | 16 GB | Roughly the size of the working set you query at once |
| 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 | $0 — it is an embedded library, not a server. It runs inside your process. |
| Setup timeHonest first-install estimate, not the marketing quickstart. | Half a day for a single node; a real cluster is a project | 5 minutes |
| Ongoing maintenanceThe part nobody budgets for. | Moderate. Schema and ORDER BY decisions are close to permanent, merges need disk headroom, and upgrades want testing. | Effectively none. There is no server to keep alive. |
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
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
Which one fits you
The trade-offs above, turned into a decision. Find the line that describes your team.
Choose ClickHouse
if frequently outruns Snowflake on analytical workloads, at a fraction of the cost.
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.
Neither, yet
if both carry a real cost you should weigh first — schema and index design matter far more than in a warehouse, and single-machine — there is no cluster and no horizontal scale. 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 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.
ClickHouse vs DuckDB — common questions
Is ClickHouse a better fit than DuckDB for data warehouses & analytics engines?
It depends on what you are optimising for, and the honest split is this: DuckDB scores 97 to ClickHouse's 93 on data ownership and exit cost, so it is the safer choice if you care about being able to leave. ClickHouse earns its place on a different axis — frequently outruns Snowflake on analytical workloads, at a fraction of the cost. 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. DuckDB 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 DuckDB?
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 DuckDB 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.