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Cloud · head to head

Coolify vs DuckDB

Coolify logo

Coolify

Cloud

Open source self-hosted platform that deploys applications and databases to servers you already own

From
Free
Rated
-
Full reviewWebsite
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

The short version

  • Each has a real cost: Coolify commit history since June 2026 shows one maintainer at 73 commits and a second at 15 with nobody else above one, and the same two people also ship four other coolLabs products, so the project depends on a very small number of individuals.; 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.
  • They diverge on capability: Coolify covers Git push deployments, DuckDB covers In-process execution.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Coolify and DuckDB actually diverge.

Attributes where Coolify and DuckDB differ
AttributeCoolifyDuckDB
Pricing modelOpen source, no licence feeopen-source
PlatformsWeb, Linux, Docker, Self-hostedLinux, macOS, Windows, WebAssembly
CategoryCloudDatabases
FoundedUnknown2019

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 Coolify

  • Git push deployments
  • One-click services
  • Automatic certificates
  • Managed databases
  • Docker Compose support
  • Notifications

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.

Coolify

  • Replacing a managed platform bill with a single Hetzner or DigitalOcean instance running a dozen small applicationsnot DuckDB
  • An agency hosting many low-traffic client sites on shared servers with certificates handled automaticallynot DuckDB
  • Self-hosting analytics, databases and internal tools from the one-click catalogue without writing Compose filesnot DuckDB
  • Deploying inside a country or jurisdiction where no managed platform operates a regionnot DuckDB

DuckDB

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

Where each one falls short

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

Coolify

  • Commit history since June 2026 shows one maintainer at 73 commits and a second at 15 with nobody else above one, and the same two people also ship four other coolLabs products, so the project depends on a very small number of individuals.
  • Multi-server support is documented as experimental, load balancer configuration is manual, every server must share the same CPU architecture, and moving images between hosts requires you to run your own Docker registry.
  • In self-hosted mode the Coolify machine holds every SSH key and secret with no documented high availability, so the dashboard host is a single point of failure that the paid Cloud tier fixes and self-hosting does not.
  • Scheduled S3 backups cover PostgreSQL, MySQL, MariaDB and MongoDB only, so application persistent volumes are your responsibility and a restore is untested unless you test it yourself.
  • Release cadence is fast enough that six patch versions shipped inside ten days in August 2026 against several hundred open issues, and because instances can update themselves a regression can reach a production host before you have read the changelog.

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

Coolify

Free
  • Self-hostedFree
    • Apache-2.0, no features held back
    • Unlimited servers, applications and users
    • You run, update and back up the dashboard yourself
  • Cloud$5/month
    • Connects 2 servers, then 3 US dollars a month per extra server
    • Managed and updated Coolify dashboard with high availability
    • Managed backups of the Coolify instance itself

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Which should you pick?

Choose Coolify if

  • You need git push deployments.
  • You want to start without paying.
  • You work on Web, Linux, Docker, Self-hosted.
  • You also want one-click services.
Coolify review

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

Questions people ask

Is Coolify or DuckDB better?
Neither clearly leads. Coolify 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, Coolify or DuckDB?
Coolify starts at Free and DuckDB at Free.
Does Coolify or DuckDB run on more platforms?
Coolify runs on Web, Linux, Docker, Self-hosted. DuckDB runs on Linux, macOS, Windows, WebAssembly.
Can I use Coolify for free?
Both have a free tier, so you can try either at no cost before committing.
What is Coolify best used for?
Coolify is most often used for replacing a managed platform bill with a single hetzner or digitalocean instance running a dozen small applications, an agency hosting many low-traffic client sites on shared servers with certificates handled automatically, self-hosting analytics, databases and internal tools from the one-click catalogue without writing compose files, deploying inside a country or jurisdiction where no managed platform operates a region. Of those, replacing a managed platform bill with a single hetzner or digitalocean instance running a dozen small applications and an agency hosting many low-traffic client sites on shared servers with certificates handled automatically are not what DuckDB is typically brought in for.
What can Coolify do that DuckDB cannot?
Coolify covers Git push deployments, One-click services, Automatic certificates, Managed databases. DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies.

Answered from the vendors’ own pages

Coolify: Is anything held back for the paid tier?

No. Coolify Cloud hosts, updates and backs up the dashboard and gives it high availability. Every feature that touches your applications is in the Apache-2.0 build you can run yourself.

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.

Coolify: What does Coolify Cloud cost?

Five US dollars a month connects two servers, and each additional server is three dollars a month, with 20 per cent off for annual billing. You still supply and pay for the servers themselves.

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.

Coolify: Does it back up my application data?

It backs up PostgreSQL, MySQL, MariaDB and MongoDB to S3 on a schedule. Application persistent volumes are not covered, so anything stored outside a managed database needs your own backup plan.

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.

Coolify: Can I run it across several servers?

Yes, but the documentation calls multi-server experimental. Load balancing is not configured for you, all nodes must share a CPU architecture, and you need to run your own Docker registry.

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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