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Databases · head to head

DuckDB vs Supabase

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
-
Full reviewWebsite
Supabase logo

Supabase

Technology

The open source Firebase alternative

From
Free
Rated
-
Full reviewWebsite

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.; Supabase free tier projects auto-pause after 1 week of inactivity
  • They diverge on capability: DuckDB covers In-process execution, Supabase covers PostgreSQL database.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DuckDB and Supabase actually diverge.

Attributes where DuckDB and Supabase differ
AttributeDuckDBSupabase
Pricing modelopen-sourceUnknown
PlatformsLinux, macOS, Windows, WebAssemblyWeb, iOS, Android
CategoryDatabasesTechnology
Founded20192020

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 Supabase

  • PostgreSQL database
  • Auto-generated APIs
  • Authentication & authorization
  • Real-time subscriptions
  • Storage
  • Edge functions
  • Vector embeddings
  • Database migrations

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

Supabase

  • Web application backends using Postgres plus auto-generated REST/GraphQL APIsnot DuckDB
  • Mobile app backends via Flutter/Swift/Kotlin client librariesnot DuckDB
  • AI applications using vector/embeddings storagenot DuckDB
  • Authentication with 20+ social providers plus email/passwordnot DuckDB
  • File and media storage (S3-compatible with CDN) and realtime sync over WebSocketsnot 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.

Supabase

  • Free tier projects auto-pause after 1 week of inactivity
  • Free tier hard caps: 500 MB database, 1 GB file storage, 5 GB egress/month, 50,000 monthly active users, max 2 active free projects per organization
  • Pro plan charges usage overages beyond included quotas, e.g. $0.00325 per MAU above 100,000 and $0.125/GB disk above 8 GB
  • SOC2/ISO 27001 certification and HIPAA (add-on) compliance require the $599/month Team plan; not available on the $25/month Pro plan

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Supabase

Free
  • FreeFree
    • 50,000 MAU
    • 500MB database
    • 5GB egress
  • Pro$25/month
    • 100,000 MAU
    • 8GB disk
    • 250GB egress
  • Team$599/month
    • SOC2 and ISO 27001
    • HIPAA add-on
    • 28-day log / 14-day backup retention
  • Enterprise$undefined/month
    • Custom limits
    • Dedicated support manager
    • 24/7/365 support

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.
DuckDB review

Choose Supabase if

  • You need postgresql database.
  • You want to start without paying.
  • You work on Web, iOS, Android.
  • You also want auto-generated apis.
Supabase review

Questions people ask

Is DuckDB or Supabase better?
Neither clearly leads. DuckDB starts at Free and Supabase at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or Supabase?
DuckDB starts at Free and Supabase at Free.
Does DuckDB or Supabase run on more platforms?
DuckDB runs on Linux, macOS, Windows, WebAssembly. Supabase runs on Web, iOS, Android.
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 Supabase is typically brought in for.
What can DuckDB do that Supabase cannot?
DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. Supabase covers PostgreSQL database, Auto-generated APIs, Authentication & authorization, Real-time subscriptions.

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.

Supabase: How much does Supabase cost?

Supabase offers a free tier and three paid plans. Pro starts at $25 per month, Team at $599 per month, and Enterprise requires a custom quote. All pricing is in USD charged monthly.

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.

Supabase: What are Supabase's usage overage fees?

Pro plan users pay $0.00325 per monthly active user over the 100,000 included, and $0.125 per GB for database storage exceeding 8 GB per project. Compute instances cost $10 to $3,730+ per month.

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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