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Directual vs DuckDB

Directual logo

Directual

No-Code

No-code backend with a visual workflow engine, used behind other tools rather than instead of them

From
Free
Free plan
Yes
Visit DirectualFull 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 Directual lists visual database designer; only DuckDB lists in-process execution.
  • Where Directual falls short: self-hosting is confined to the top commercial tier, so the ownership advantage is available only to buyers already spending at the high end.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Directual and DuckDB actually diverge.

Attributes where Directual and DuckDB differ
AttributeDirectualDuckDB
Pricing modelQuoteOpen-source
PlatformsWebLinux, macOS, Windows, Web
CategoryNo-CodeDatabases

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

Not yet recorded: founded for Directual.

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 Directual

  • Visual database designer
  • Scenario builder
  • Generated API endpoints
  • Event-driven triggers
  • Role and permission model
  • Scheduled jobs
  • Basic web page builder
  • Self-hosted deployment

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.

Directual

  • Providing the backend for a Webflow or FlutterFlow front end that needs real data, authentication and logicnot DuckDB
  • Replacing an Airtable base that has outgrown its row limits without hiring a backend developernot DuckDB
  • Event-driven workflows such as order processing or scheduled billing runs that must run without a person triggering themnot DuckDB
  • Organisations with a data residency requirement that rules out most no-code platforms, using the self-hosted tiernot DuckDB

DuckDB

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

Where each one falls short

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

Directual

  • The front-end builder is basic, so any project needing a designed interface means learning and paying for a second tool, and time to launch is closer to a two-system build than a one-tool build
  • Visual scenarios become unreadable once the logic is non-trivial; a workflow that would be forty lines of code sprawls across a canvas, and reviewing what a colleague built is slow
  • Debugging asynchronous, event-triggered scenarios is harder than debugging code, because failures surface as records left in an unexpected state rather than as a stack trace at the point of failure
  • Self-hosting is confined to the top commercial tier, so the ownership advantage is available only to buyers already spending at the high end
  • The pool of agencies and freelancers who know Directual is small next to Bubble or Airtable, so handing a finished system to someone else to maintain is harder and more expensive

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

Directual

Free
  • DirectualOn request
    • Free tier with capped records and API calls
    • Paid tiers priced by database rows, API calls and scenario runs
    • Self-hosted deployment on the top tier only

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Which should you pick?

Choose Directual if

  • You need visual database designer.
  • You want to start without paying.
  • You also want scenario builder.
Directual 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 Directual or DuckDB better?
Neither clearly leads. Directual 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, Directual or DuckDB?
Directual starts at Free and DuckDB at Free.
Does Directual or DuckDB run on more platforms?
Directual runs on Web. DuckDB runs on Linux, macOS, Windows, Web.
Can I use Directual for free?
Both have a free tier, so you can try either at no cost before committing.
What is Directual best used for?
Directual is most often used for providing the backend for a webflow or flutterflow front end that needs real data, authentication and logic, replacing an airtable base that has outgrown its row limits without hiring a backend developer, event-driven workflows such as order processing or scheduled billing runs that must run without a person triggering them, organisations with a data residency requirement that rules out most no-code platforms, using the self-hosted tier. Of those, providing the backend for a webflow or flutterflow front end that needs real data, authentication and logic and replacing an airtable base that has outgrown its row limits without hiring a backend developer are not what DuckDB is typically brought in for.
What can Directual do that DuckDB cannot?
Directual covers Visual database designer, Scenario builder, Generated API endpoints, Event-driven triggers. DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies.

Answered from the vendors’ own pages

Directual: Is Directual a replacement for Bubble?

Not directly. Bubble builds the whole application; Directual builds the backend and expects you to bring a front end such as Webflow or FlutterFlow.

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.

Directual: Can I host it myself?

Yes, on the top commercial tier. That is unusual in no-code and it is the main reason regulated buyers look at it at all.

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.

Directual: How does it cope with large data volumes?

It is built on a real database with indexing rather than a spreadsheet abstraction, so record counts that break Airtable-class tools are within its normal range.

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.

Directual: What happens to my logic if I leave?

The data exports and the API is documented, but scenarios are platform-specific and have to be reimplemented, unless you are already on the self-hosted tier.

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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