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Databases · head to head

DuckDB vs StackBlitz

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
StackBlitz logo

StackBlitz

Developer Tools

Browser-based IDE and AI app builder running full Node.js stacks via WebContainers

From
Free
Free plan
Yes
Visit StackBlitzFull review

The short version

  • Both are free.
  • Only DuckDB lists in-process execution; only StackBlitz lists bolt.new AI app builder.
  • Where StackBlitz falls short: specific Teams and Enterprise pricing figures are not published; visitors must request a quote or infer from the pricing calculator.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which DuckDB and StackBlitz actually diverge.

Attributes where DuckDB and StackBlitz differ
AttributeDuckDBStackBlitz
Pricing modelOpen-sourceFreemium
PlatformsLinux, macOS, Windows, WebWeb
CategoryDatabasesDeveloper Tools

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

Not yet recorded: founded for StackBlitz.

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 StackBlitz

  • WebContainers
  • Bolt.new AI app builder
  • Instant boot times
  • GitHub project import
  • Team collaboration
  • Offline functionality

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

StackBlitz

  • Editing a GitHub repository instantly in the browser without cloning itnot DuckDB
  • Generating a working web app from a text prompt with Bolt.newnot DuckDB
  • Sharing private projects across a team without individual GitHub seats for viewersnot DuckDB
  • Running lightweight Node.js projects with no local setupnot 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

StackBlitz

  • Specific Teams and Enterprise pricing figures are not published; visitors must request a quote or infer from the pricing calculator
  • Browser-based execution via WebContainers has limits on which native/binary dependencies can run compared to a real server-backed environment
  • Heavy or resource-intensive workloads may be constrained by the end user's own browser and machine resources

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

StackBlitz

Free
  • PersonalFree
    • Unlimited public projects, collections, and GitHub repositories
    • View and edit without a GitHub account
  • TeamsOn request
    • Private collections and repositories for paid members
    • Free and paid member roles
    • Automatic permission mirroring for org-owned repositories

Which should you pick?

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

Choose StackBlitz if

  • You need webcontainers.
  • You want to start without paying.
  • You also want bolt.new ai app builder.
StackBlitz review

Questions people ask

Is DuckDB or StackBlitz better?
Neither clearly leads. DuckDB starts at Free and StackBlitz at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or StackBlitz?
DuckDB starts at Free and StackBlitz at Free.
Does DuckDB or StackBlitz run on more platforms?
DuckDB runs on Linux, macOS, Windows, Web. StackBlitz runs on Web.
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 StackBlitz is typically brought in for.
What can DuckDB do that StackBlitz cannot?
DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. StackBlitz covers WebContainers, Bolt.new AI app builder, Instant boot times, GitHub project import.

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.

StackBlitz: Is there a free plan, and what are its limits?

Yes, the free Personal plan includes unlimited public StackBlitz projects, collections, and GitHub repositories, and lets anyone view and edit projects without needing a GitHub account.

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.

StackBlitz: What does the Teams plan add?

Teams lets GitHub organizations add free or paid members; paid members get access to private collections and repositories, with permissions mirrored from GitHub-owned repos.

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.

StackBlitz: Is there an Enterprise option?

Yes, custom Enterprise plans are available and require contacting StackBlitz directly.

Source
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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