Databases · head to head
DuckDB vs Saleor

DuckDB
Databases
MIT-licensed analytical SQL database that runs inside your process, with no server, no dependencies and one writer at a time.
- From
- Free
- Rated
- -

Saleor
E-Commerce
Open-source, headless e-commerce platform with a GraphQL API
- From
- Free
- Rated
- -
The short version
- Each has a real cost: DuckDB a database file accepts one read-write process at a time; other processes must open it read-only and will not see subsequent writes, so DuckDB cannot be the shared database behind several services.; Saleor saleor requires development resources to build a storefront, since it ships as an API-only backend without a front-end store out of the box.
- They diverge on capability: DuckDB covers In-process execution, Saleor covers GraphQL API.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which DuckDB and Saleor actually diverge.
Identical on both: starting price (Free), pricing model (open-source), free tier (Yes), user rating (Not yet rated), founded (2019).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in DuckDB
- In-process execution
- Vectorised columnar engine
- Direct file querying
- Zero dependencies
- Larger-than-memory queries
- MIT licence
- Postgres-flavoured SQL
- Extension ecosystem
Only in Saleor
- GraphQL API
- Admin dashboard
- Webhooks and apps
- Omnichannel order processing
- Configurator CLI
- OpenTelemetry tracing
- OpenID Connect support
What people use each for
The jobs each tool is most often brought in to do.
DuckDB
- Transformation steps in a data pipeline that would otherwise need Spark, replaced by SQL over Parquet in a single processnot Saleor
- Analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptablenot Saleor
- Local exploration of files that are too large for a pandas dataframe but far too small to justify a warehousenot Saleor
- Continuous integration and testing of analytical SQL, where a real engine can run in the test process without provisioning anythingnot Saleor
Saleor
- Custom headless storefrontsnot DuckDB
- Composable commerce architecturesnot DuckDB
- Omnichannel retail and B2B commercenot DuckDB
- Developer-built e-commerce requiring deep API accessnot DuckDB
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
DuckDB
- A database file accepts one read-write process at a time; other processes must open it read-only and will not see subsequent writes, so DuckDB cannot be the shared database behind several services.
- There is no network protocol, authentication or user management, so exposing it to remote clients means writing and securing your own service around it.
- It is built for scans and aggregations, not for many small transactions, so a workload of high-frequency single-row inserts and updates performs badly compared with SQLite or Postgres.
- Storage files are backwards compatible but not forwards compatible, so a file written by a newer version cannot be read by an older one and every consumer of a shared file must be upgraded together.
- Query memory settings matter: some operations still need to hold significant state, so an under-configured memory limit turns a large join or a high-cardinality aggregation into a spill-heavy query or an out-of-memory failure rather than a slow success.
Saleor
- Saleor requires development resources to build a storefront, since it ships as an API-only backend without a front-end store out of the box.
- Self-hosting requires managing infrastructure, scaling, and updates, which adds operational overhead compared to fully managed platforms.
- Saleor Cloud's paid tiers start at $1,599/month, making the managed offering costly for small merchants compared to typical SaaS store builders.
- The GraphQL-first, code-driven approach has a steeper learning curve for non-technical users than drag-and-drop e-commerce builders.
Pricing, plan by plan
DuckDB
FreeNo published plan breakdown. See the DuckDB review.
Saleor
Free- Sandboxes (Cloud)Free
- Free forever tier for prototyping and development
- Select (Cloud)$1599/month
- Up to $200,000 GMV monthly
- 0.8% fee on orders exceeding GMV limit
- Dedicated Slack channel
- Volume (Cloud)$3999/month
- Up to $1,000,000 GMV monthly
- 0.4% fee on orders exceeding GMV limit
- Dedicated Slack channel
- Enterprise (Cloud)$undefined/mo
- Custom GMV limits
- Fees negotiable as low as 0.2%
- Project delivery lead
Which should you pick?
Choose DuckDB if
- You need in-process execution.
- You want to start without paying.
- You work on Linux, macOS, Windows, WebAssembly.
- You also want vectorised columnar engine.
Choose Saleor if
- You need graphql api.
- You want to start without paying.
- You work on web, api.
- You also want admin dashboard.
Questions people ask
- Is DuckDB or Saleor better?
- Neither clearly leads. DuckDB starts at Free and Saleor at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, DuckDB or Saleor?
- DuckDB starts at Free and Saleor at Free.
- Does DuckDB or Saleor run on more platforms?
- DuckDB runs on Linux, macOS, Windows, WebAssembly. Saleor runs on web, api.
- Can I use DuckDB for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is DuckDB best used for?
- DuckDB is most often used for transformation steps in a data pipeline that would otherwise need spark, replaced by sql over parquet in a single process, analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptable, local exploration of files that are too large for a pandas dataframe but far too small to justify a warehouse, continuous integration and testing of analytical sql, where a real engine can run in the test process without provisioning anything. Of those, transformation steps in a data pipeline that would otherwise need spark, replaced by sql over parquet in a single process and analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptable are not what Saleor is typically brought in for.
- What can DuckDB do that Saleor cannot?
- DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. Saleor covers GraphQL API, Admin dashboard, Webhooks and apps, Omnichannel order processing.
Answered from the vendors’ own pages
DuckDB: Can multiple applications share one DuckDB database?
Not for writing. One process holds the database read-write; others may attach read-only and will not see later writes. Shared multi-writer access needs a different database or a table format with a catalogue.
Saleor: Is Saleor free to use?
Yes. Saleor is open source under the BSD-3-Clause license and can be self-hosted for free. Saleor Cloud also offers a free Sandboxes tier for prototyping and development.
SourceDuckDB: Is it a replacement for a data warehouse?
For single-node analytical workloads up to a few hundred gigabytes it very often is. It is not a replacement when many concurrent users need a shared, governed, always-on service.
Saleor: How much does Saleor Cloud cost?
Saleor Cloud paid plans start at $1,599/month for the Select plan (up to $200,000 monthly GMV), with Volume at $3,999/month and custom Enterprise pricing for larger merchants.
SourceDuckDB: Do I have to load data into it?
No. It queries Parquet, CSV, JSON and Arrow in place, including on object storage. Its own storage format is optional and mainly useful when you want indexes, constraints and faster repeated access.
Saleor: Does Saleor provide a storefront out of the box?
No. Saleor is an API-only, headless commerce backend built on GraphQL; storefronts must be built separately using the API and are not bundled with the platform.
SourceDuckDB: What is MotherDuck's relationship to it?
MotherDuck is a separate company offering a managed and hybrid service built on the DuckDB engine. DuckDB itself remains MIT-licensed and independent of it, with the IP held by the DuckDB Foundation.
DuckDB: Is it suitable for OLTP?
No. It is designed for analytical scans. For transactional workloads with frequent small writes, SQLite or Postgres is the right tool.
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