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No-Code · head to head

Bubble vs DuckDB

Bubble logo

Bubble

No-Code

No-code platform for building web and mobile applications visually

From
Free
Free plan
Yes
Visit BubbleFull review
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
Free plan
Yes
Visit DuckDBFull review

The short version

  • Both are free.
  • Only Bubble lists visual app editor; only DuckDB lists in-process execution.
  • Where Bubble falls short: apps are tied to Bubble's proprietary runtime, making migration to another stack difficult if the platform is later outgrown.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Bubble and DuckDB actually diverge.

Attributes where Bubble and DuckDB differ
AttributeBubbleDuckDB
Pricing modelFreemiumOpen-source
PlatformsWeb, iOS, AndroidLinux, macOS, Windows, Web
CategoryNo-CodeDatabases

Identical on both: starting price (Free), free tier (Yes).

Not yet recorded: founded for Bubble.

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 Bubble

  • Visual app editor
  • Built-in database
  • Visual workflow logic
  • Plugin marketplace
  • Responsive design engine
  • Custom domains

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

What people use each for

The jobs each tool is most often brought in to do.

Bubble

  • Building MVPs and startup web apps without a dev teamnot DuckDB
  • Internal business apps with custom database logicnot DuckDB
  • Marketplace and SaaS prototypesnot DuckDB
  • Mobile app wrappers around a Bubble web appnot DuckDB

DuckDB

  • Transformation steps in a data pipeline that would otherwise need Spark, replaced by SQL over Parquet in a single processnot Bubble
  • Analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptablenot Bubble
  • Local exploration of files that are too large for a pandas dataframe but far too small to justify a warehousenot Bubble
  • Continuous integration and testing of analytical SQL, where a real engine can run in the test process without provisioning anythingnot Bubble

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Bubble

  • Apps are tied to Bubble's proprietary runtime, making migration to another stack difficult if the platform is later outgrown
  • Complex apps can hit performance limits compared to hand-coded applications as data and workflow complexity grows
  • The visual workflow editor has a steep learning curve for genuinely complex business logic
  • Free tier cannot host apps on a custom domain, limiting it to prototyping rather than production launches

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

Pricing, plan by plan

Bubble

Free

No published plan breakdown. See the Bubble review.

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Which should you pick?

Choose Bubble if

  • You need visual app editor.
  • You want to start without paying.
  • You work on Web, iOS, Android.
  • You also want built-in database.
Bubble review

Choose DuckDB if

  • You need in-process execution.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Web.
  • You also want vectorised columnar engine.
DuckDB review

Questions people ask

Is Bubble or DuckDB better?
Neither clearly leads. Bubble starts at Free and DuckDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Bubble or DuckDB?
Bubble starts at Free and DuckDB at Free.
Does Bubble or DuckDB run on more platforms?
Bubble runs on Web, iOS, Android. DuckDB runs on Linux, macOS, Windows, Web.
Can I use Bubble for free?
Both have a free tier, so you can try either at no cost before committing.
What is Bubble best used for?
Bubble is most often used for building mvps and startup web apps without a dev team, internal business apps with custom database logic, marketplace and saas prototypes, mobile app wrappers around a bubble web app. Of those, building mvps and startup web apps without a dev team and internal business apps with custom database logic are not what DuckDB is typically brought in for.
What can Bubble do that DuckDB cannot?
Bubble covers Visual app editor, Built-in database, Visual workflow logic, Plugin marketplace. DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies.

Answered from the vendors’ own pages

Bubble: Does Bubble publish pricing information on their main website?

Bubble's pricing details are not available on the main homepage. Detailed pricing information would need to be found on their dedicated pricing page or terms of service.

Source
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.

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.

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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