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
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
| DuckDB | Apache Doris | |
|---|---|---|
| Sovereignty Score | 97 | 92 |
| Open source | Yes | Yes |
| Self-hostable | Yes | Yes |
| Local-first | 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. |
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
Related alternative guides
Facts verified 2026-08-03. Licenses and pricing change — spotted something out of date? That's a correction we want.