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Databases · head to head

DuckDB vs SST

DuckDB logo

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
-
SST logo

SST

Cloud

Build full-stack apps on your own infrastructure

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.; SST primarily optimized for AWS with Cloudflare support
  • They diverge on capability: DuckDB covers In-process execution, SST covers Single config file.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DuckDB and SST actually diverge.

Attributes where DuckDB and SST differ
AttributeDuckDBSST
Pricing modelopen-sourceUnknown
PlatformsLinux, macOS, Windows, WebAssemblyAWS, Cloudflare, Node.js
CategoryDatabasesCloud
Founded2019Unknown

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

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 SST

  • Single config file
  • Resource linking
  • Local development
  • Multi-cloud support
  • Multiple deployment stages
  • VPC tunneling

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 SST
  • Analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptablenot SST
  • Local exploration of files that are too large for a pandas dataframe but far too small to justify a warehousenot SST
  • Continuous integration and testing of analytical SQL, where a real engine can run in the test process without provisioning anythingnot SST

SST

  • Deploying Next.js frontends with serverless backendsnot DuckDB
  • Managing databases and storage alongside application codenot DuckDB
  • Creating staging environments for feature testingnot 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.

SST

  • Primarily optimized for AWS with Cloudflare support
  • Learning curve for developers unfamiliar with infrastructure concepts
  • Limited documentation for some advanced use cases

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

SST

Free

No published plan breakdown. See the SST review.

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 SST if

  • You need single config file.
  • You want to start without paying.
  • You work on AWS, Cloudflare, Node.js.
  • You also want resource linking.

Questions people ask

Is DuckDB or SST better?
Neither clearly leads. DuckDB starts at Free and SST at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or SST?
DuckDB starts at Free and SST at Free.
Does DuckDB or SST run on more platforms?
DuckDB runs on Linux, macOS, Windows, WebAssembly. SST runs on AWS, Cloudflare, Node.js.
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 SST is typically brought in for.
What can DuckDB do that SST cannot?
DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. SST covers Single config file, Resource linking, Local development, Multi-cloud support.

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.

SST: Is SST free?

Yes, SST is open source and free. You only pay for cloud resources from AWS and other providers.

Source
DuckDB: 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.

SST: What cloud providers does SST support?

SST supports over 150 providers through built-in AWS and Cloudflare components, plus Pulumi and Terraform providers.

Source
DuckDB: 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.

DuckDB: 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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