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Databases · head to head

DuckDB vs Frappe

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
Frappe logo

Frappe

Developer Tools

The Python web framework behind ERPNext, sold as managed hosting through Frappe Cloud

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.; Frappe the framework is strongly opinionated: its own ORM, templating and job queue mean general Python and Django experience transfers only partly, and onboarding a new developer takes weeks rather than days.
  • They diverge on capability: DuckDB covers In-process execution, Frappe covers DocType modelling.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which DuckDB and Frappe actually diverge.

Attributes where DuckDB and Frappe differ
AttributeDuckDBFrappe
Pricing modelopen-sourcePer month by site or server
PlatformsLinux, macOS, Windows, WebAssemblyWeb, Linux, Docker
CategoryDatabasesDeveloper Tools
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 Frappe

  • DocType modelling
  • Role and field permissions
  • Built-in REST API
  • Background jobs
  • Bench CLI
  • Frappe Cloud hosting
  • App marketplace
  • Multi-tenancy

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

Frappe

  • A team building an internal business application that needs permissions, audit trail and an API on day one rather than in month threenot DuckDB
  • An ERPNext user who wants managed hosting, automatic updates and offsite backups without hiring a systems administratornot DuckDB
  • An Indian or emerging-market business that wants to pay for application hosting in local currency at local price pointsnot DuckDB
  • A consultancy shipping custom vertical apps to clients on a shared framework with per-client site isolationnot 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.

Frappe

  • The framework is strongly opinionated: its own ORM, templating and job queue mean general Python and Django experience transfers only partly, and onboarding a new developer takes weeks rather than days.
  • The developer pool is small and heavily concentrated in India, so hiring Frappe experience elsewhere is slow and expensive relative to mainstream stacks.
  • Documentation is uneven in depth and lags behind releases in places, so real answers often come from reading the source or the community forum.
  • Major version upgrades of the framework have historically broken custom apps that reach past the DocType layer, so bespoke code carries a recurring maintenance cost at each upgrade.
  • Frappe Cloud recommends against its cheapest Hetzner-backed option for mission-critical production, so the headline $5 entry price is not the price of a production-grade deployment.

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Frappe

Free
  • Framework, self-hostedFree
    • MIT licensed, no licence fee
    • Install with bench on your own Linux servers
    • You carry updates, backups and security patching
  • Frappe Cloud Sites$5/month
    • Also listed at ₹410 per month
    • Shared servers with 150+ installable apps
    • Automatic updates and offsite backups
  • Frappe Cloud Servers$40/month
    • Also listed at ₹3,600 per month
    • Dedicated or shared virtual machines
    • Unlimited sites on your server

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 Frappe if

  • You need doctype modelling.
  • You want to start without paying.
  • You work on Web, Linux, Docker.
  • You also want role and field permissions.
Frappe review

Questions people ask

Is DuckDB or Frappe better?
Neither clearly leads. DuckDB starts at Free and Frappe at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or Frappe?
DuckDB starts at Free and Frappe at Free.
Does DuckDB or Frappe run on more platforms?
DuckDB runs on Linux, macOS, Windows, WebAssembly. Frappe runs on Web, Linux, Docker.
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 Frappe is typically brought in for.
What can DuckDB do that Frappe cannot?
DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. Frappe covers DocType modelling, Role and field permissions, Built-in REST API, Background jobs.

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.

Frappe: Is Frappe the same as ERPNext?

No. Frappe is the framework; ERPNext is the ERP application written on it. You can run Frappe without ERPNext to build your own applications.

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.

Frappe: What licence is the framework under?

MIT, which is permissive and imposes no obligation to publish your changes, unlike the AGPL used by several open source ERP rivals.

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.

Frappe: Can I pay in rupees?

Yes. Frappe Cloud publishes the same plans in Indian rupees, ₹410 a month for sites and ₹3,600 for servers, rather than converting a dollar price at checkout.

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.

Frappe: Do I have to use Frappe Cloud?

No, self-hosting with bench or Docker is fully supported and free. Frappe Cloud is a convenience purchase, and it funds the open source work.

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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