DuckDB vs Apache Doris
Both are alternatives to Snowflake. Here's how they stack up — verified facts, no spin.
Also searched as Apache Doris vs DuckDB — same comparison, one verdict.
DuckDB and Apache Doris are closely matched on ownership (97 vs 92) — 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.
Apache Doris
Real-time analytics with the operational simplicity Snowflake users expect.
Doris aims at the gap between ClickHouse's speed and a warehouse's ease: MySQL-compatible protocol, so existing clients and BI tools connect unchanged, real-time ingestion, materialised views maintained automatically, and considerably less tuning than ClickHouse demands. Apache Software Foundation governance, Apache-2.0, around 16k stars. It is the option to look at when the team wants ClickHouse economics but nobody wants to become a ClickHouse specialist.
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 | Apache Doris | |
|---|---|---|
| Sovereignty ScoreOur transparent 0–100 composite for data ownership and exit cost. | 97 | 92 |
| 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 offerings available from vendors. |
| 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 | — |
| 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. | — |
| Setup timeHonest first-install estimate, not the marketing quickstart. | 5 minutes | — |
| Ongoing maintenanceThe part nobody budgets for. | Effectively none. There is no server to keep alive. | — |
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
Apache Doris
Strengths
- +MySQL protocol — existing BI tools and clients just connect
- +Materialised views maintained automatically, no manual refresh
- +Apache Software Foundation governance
- +Markedly less tuning required than ClickHouse
Trade-offs
- −Smaller community outside China than ClickHouse
- −Documentation in English is thinner
- −Fewer integrations in the Western data stack
- −Still a cluster to run
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 Apache Doris
if mySQL protocol — existing BI tools and clients just connect.
Neither, yet
if both carry a real cost you should weigh first — single-machine — there is no cluster and no horizontal scale, and smaller community outside China than ClickHouse. 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.
DuckDB vs Apache Doris — common questions
Is DuckDB a better fit than Apache Doris for data warehouses & analytics engines?
It depends on what you are optimising for, and the honest split is this: DuckDB scores 97 to Apache Doris's 92 on data ownership and exit cost, so it is the safer choice if you care about being able to leave. Apache Doris earns its place on a different axis — mySQL protocol — existing BI tools and clients just connect. 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. Apache Doris 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 Apache Doris?
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 Apache Doris 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.