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Databases · head to head

DuckDB vs Tilt

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
Tilt logo

Tilt

Developer Tools

Local Kubernetes development loop that rebuilds and live-updates containers on save

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.; Tilt docker acquired Tilt in 2022 and the team now splits its time across Compose and Docker Desktop, so feature velocity is modest and the product's long-term priority inside Docker is not guaranteed; treat it as a stable utility, not a growing platform.
  • They diverge on capability: DuckDB covers In-process execution, Tilt covers Live update.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which DuckDB and Tilt actually diverge.

Attributes where DuckDB and Tilt differ
AttributeDuckDBTilt
Pricing modelopen-sourceOpen source, no licence fee
PlatformsLinux, macOS, Windows, WebAssemblyLinux, macOS, Windows
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 Tilt

  • Live update
  • Tiltfile as code
  • Unified web UI
  • Selective rebuilds
  • Local and remote clusters
  • Resource dependencies
  • Extensions registry
  • Custom buttons and triggers

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

Tilt

  • A team of ten or more engineers whose application is fifteen microservices on Kubernetes and who currently wait on CI to test a changenot DuckDB
  • An organisation onboarding new developers who want a single command that stands up the whole stack from a committed Tiltfilenot DuckDB
  • A platform team giving product engineers a consistent local environment against a shared remote development clusternot DuckDB
  • A codebase where one repository contains several services and rebuilding all of them on every edit is the main source of lost timenot 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.

Tilt

  • Docker acquired Tilt in 2022 and the team now splits its time across Compose and Docker Desktop, so feature velocity is modest and the product's long-term priority inside Docker is not guaranteed; treat it as a stable utility, not a growing platform.
  • The Tiltfile is Starlark, a Python dialect, so non-trivial setups become real programs that need reviewing and maintaining, and the person who wrote yours becomes a single point of failure.
  • Live update only works when the running container can accept synced files and restart the process; compiled languages, distroless images and read-only filesystems often force you back to a full image rebuild, which removes the main benefit.
  • It assumes Kubernetes. If your development target is plain Docker Compose or serverless functions, Tilt adds a cluster you did not need and a layer of abstraction with no payoff.
  • There is no commercial support contract, no SLA and no paid tier, so when a Kubernetes version upgrade breaks something you are dependent on GitHub issues and a Slack channel rather than a vendor you can escalate to.

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Tilt

Free
  • TiltFree
    • Apache 2.0 licensed
    • All features, no paid tier
    • Community support via the Kubernetes Slack #tilt channel

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 Tilt if

  • You need live update.
  • You want to start without paying.
  • You work on Linux, macOS, Windows.
  • You also want tiltfile as code.
Tilt review

Questions people ask

Is DuckDB or Tilt better?
Neither clearly leads. DuckDB starts at Free and Tilt at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or Tilt?
DuckDB starts at Free and Tilt at Free.
Does DuckDB or Tilt run on more platforms?
DuckDB runs on Linux, macOS, Windows, WebAssembly. Tilt runs on Linux, macOS, Windows.
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 Tilt is typically brought in for.
What can DuckDB do that Tilt cannot?
DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. Tilt covers Live update, Tiltfile as code, Unified web UI, Selective rebuilds.

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.

Tilt: Is Tilt free?

Yes, entirely. It is Apache 2.0 open source with no paid tier and no licence fee.

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.

Tilt: Who owns Tilt now?

Docker, which acquired it in May 2022. It remains open source and the repository is still actively maintained.

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.

Tilt: Do I need a remote cluster?

No. It works against a local cluster such as kind, minikube or Docker Desktop, and also against a shared remote development cluster if your services are too heavy to run locally.

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.

Tilt: How is it different from Skaffold?

Both automate the build-deploy loop. Tilt puts more weight on the live-update path and a multi-service dashboard; Skaffold is more configuration-driven and closer to Google's tooling.

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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