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Databases · head to head

DuckDB vs Infracost

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
Infracost logo

Infracost

Cloud

Cloud cost estimates in pull requests, with governance in the paid tier

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.; Infracost usage-based resources such as object storage, serverless functions and data transfer have no cost without monthly usage figures supplied by hand, and the documentation warns plainly that engineers otherwise read them as free.
  • They diverge on capability: DuckDB covers In-process execution, Infracost covers Pull request cost diffs.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which DuckDB and Infracost actually diverge.

Attributes where DuckDB and Infracost differ
AttributeDuckDBInfracost
Pricing modelopen-sourceFree open source tool, then per month by run volume
PlatformsLinux, macOS, Windows, WebAssemblyWeb, macOS, Linux, Windows, Docker
CategoryDatabasesCloud
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 Infracost

  • Pull request cost diffs
  • Multi-format parsing
  • Apache-2.0 CLI
  • FinOps policies
  • Automated remediation
  • IDE integration

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

Infracost

  • Teams that want an expensive infrastructure change questioned at review rather than discovered on an invoicenot DuckDB
  • Platform groups enforcing tagging so cloud spend can be attributed to a team at allnot DuckDB
  • Organisations adopting FinOps practice without buying a full cloud management platformnot DuckDB
  • Engineers who want a cost figure in the editor while writing the Terraformnot 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.

Infracost

  • Usage-based resources such as object storage, serverless functions and data transfer have no cost without monthly usage figures supplied by hand, and the documentation warns plainly that engineers otherwise read them as free.
  • Splitting production from non-production usage assumptions is not supported in the free usage file, which the docs attribute to a missing project filter, so that separation requires the paid product.
  • The step from 250 to 1,000 dollars a month is large and the Cloud tier includes only ten admin seats, with developer seats charged at a figure that is not published, so the cost for a large organisation cannot be computed from the pricing page.
  • Estimates are list price. Negotiated agreements, committed use discounts and reserved instance economics require SKU-level overrides available only on Enterprise, so the number in the pull request is not the number on the bill.
  • The share of the product covered by the Apache-2.0 licence is shrinking. Checks, automated fixes, policies and agent integrations are all hosted-only, so the permissive licence increasingly protects the estimation engine rather than the product.

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Infracost

Free
  • FreeFree
    • 1,000 runs a month
    • Terraform, CloudFormation and CDK estimates
    • Community support
  • Starter$250/month
    • 10,000 runs a month
    • Email support
  • Cloud$1000/month
    • Ten admin seats, developer seats charged separately
    • FinOps policies and cost guardrails
    • Dashboards and audit trails
  • Enterprise$undefined/year
    • SKU-level price overrides for negotiated rates
    • Business unit reporting
    • SSO with SAML group mapping

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 Infracost if

  • You need pull request cost diffs.
  • You want to start without paying.
  • You work on Web, macOS, Linux, Windows, Docker.
  • You also want multi-format parsing.
Infracost review

Questions people ask

Is DuckDB or Infracost better?
Neither clearly leads. DuckDB starts at Free and Infracost at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or Infracost?
DuckDB starts at Free and Infracost at Free.
Does DuckDB or Infracost run on more platforms?
DuckDB runs on Linux, macOS, Windows, WebAssembly. Infracost runs on Web, macOS, Linux, Windows, 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 Infracost is typically brought in for.
What can DuckDB do that Infracost cannot?
DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. Infracost covers Pull request cost diffs, Multi-format parsing, Apache-2.0 CLI, FinOps policies.

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.

Infracost: Is the open source version genuinely useful on its own?

Yes, for estimation. It parses your definitions and produces breakdowns and diffs locally. What it does not do is comment on pull requests, enforce policy or report across an organisation, all of which are hosted-only.

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.

Infracost: Will the estimate match my cloud bill?

No. It is list price. Committed use discounts, enterprise agreements and reserved instances need SKU-level overrides that sit in the Enterprise tier.

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.

Infracost: Why do my S3 and Lambda resources show no cost?

Usage-based resources need monthly usage values supplied in a usage file or defined centrally. Without them they estimate at zero, which is the documented behaviour and the most common way the tool misleads.

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.

Infracost: Has the licence ever changed?

No. The command line tool has been Apache 2.0 throughout, with no Business Source or AGPL episode, which is unusual in this category.

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.

Infracost: What is a run?

Not defined on the public pricing page, and the run allowance is what separates the free and Starter tiers, so establish the definition before choosing between them.

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