Apache Doris vs Google BigQuery
Both are alternatives to Snowflake. Here's how they stack up — verified facts, no spin.
Also searched as Google BigQuery vs Apache Doris — same comparison, one verdict.
Apache Doris is open source (Apache-2.0) and Google BigQuery is not (Proprietary (hosted service)) — so the real question is whether you want to own the data warehouses & analytics engines stack or rent 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.
Google BigQuery
Serverless warehousing with no cluster to size — if you are already on GCP.
BigQuery is fully serverless: there is no warehouse to start, stop or size, you write SQL and Google works out the compute. On-demand pricing is roughly $6.25 per terabyte scanned, so a well-partitioned table can be very cheap and an unpartitioned `SELECT *` can be alarming. Included here because for a team already inside Google Cloud, the honest comparison is not open versus proprietary but which proprietary — and BigQuery's operational simplicity genuinely beats Snowflake's for infrequent workloads.
Side by side
6 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.
| Apache Doris | Google BigQuery | |
|---|---|---|
| Sovereignty ScoreOur transparent 0–100 composite for data ownership and exit cost. | 92 | 32 |
| Open source | Yes | No |
| Self-hostable | Yes | No |
| Local-first data | Yes | No |
| License | Apache-2.0 | Proprietary (hosted service) |
| Pricing | Free and open source. Managed offerings available from vendors. | About $6.25 per TB scanned on demand, or flat-rate capacity. Storage around $20/TB/month. Checked 2026-08-03. |
Apache Doris edges it on the Sovereignty Score, but the right pick depends on the trade-offs below.
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
Google BigQuery
Strengths
- +Genuinely serverless — nothing to size, start or stop
- +Cheap for infrequent queries against well-partitioned data
- +Native integration with the Google Cloud and Workspace estate
- +Strong ML and geospatial support built in
Trade-offs
- −Proprietary, hosted, and deepens Google Cloud lock-in
- −Scan-based pricing punishes careless queries severely
- −Egress costs make leaving expensive
- −Practically requires you to be on GCP already
Which one fits you
The trade-offs above, turned into a decision. Find the line that describes your team.
Choose Apache Doris
if you want the source and the option to fork it, and you would rather run it on your own hardware, and your data should stay on machines you control.
Choose Google BigQuery
if genuinely serverless — nothing to size, start or stop.
Neither, yet
if both carry a real cost you should weigh first — smaller community outside China than ClickHouse, and proprietary, hosted, and deepens Google Cloud lock-in. If either of those is a dealbreaker for your team, the shortlist is wrong rather than the choice.
Apache Doris vs Google BigQuery — common questions
Is Apache Doris a better fit than Google BigQuery for data warehouses & analytics engines?
It depends on what you are optimising for, and the honest split is this: Apache Doris scores 92 to Google BigQuery's 32 on data ownership and exit cost, so it is the safer choice if you care about being able to leave. Google BigQuery earns its place on a different axis — genuinely serverless — nothing to size, start or stop. Neither is a wrong answer for every team; the table above is the actual comparison.
What happens if we want to switch later?
Apache Doris keeps its data local or in open formats, so leaving is an export rather than a negotiation. Google BigQuery keeps your data on its own infrastructure, which is the part to plan for: confirm the export path before you commit, not when you are already trying to leave.
Is Apache Doris free?
Apache Doris: Free and open source. Managed offerings available from vendors.. The other side of this comparison, Google BigQuery, is priced as About $6.25 per TB scanned on demand, or flat-rate capacity. Storage around $20/TB/month. Checked 2026-08-03.. "Free" here means no licence fee — if you self-host it you still pay for the server, and the running cost row above is our honest estimate of that.
Can I self-host Apache Doris?
Apache Doris can be self-hosted; Google BigQuery cannot, so it stays on the vendor's infrastructure whatever you do.
Are Apache Doris and Google BigQuery 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.