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DuckDB vs PostgreSQL

DuckDB logo

DuckDB

Software

Fast in-process analytical database

From
Free
Rated
-
Full reviewWebsite
PostgreSQL logo

PostgreSQL

Software

The world's most advanced open source relational database

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: DuckDB client-server setup remains in beta and not recommended for production distributed scenarios; PostgreSQL requires manual scaling across multiple machines for very large deployments
  • They diverge on capability: DuckDB covers In-process Execution, PostgreSQL covers ACID Compliance.

Where they differ

Only the attributes on which DuckDB and PostgreSQL actually diverge.

Attributes where DuckDB and PostgreSQL differ
AttributeDuckDBPostgreSQL
Pricing modelopen-sourceUnknown
PlatformsLinux, macOS, Windows, WebAssemblyLinux, Windows, macOS, BSD, Unix
Founded20191996

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).

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
  • Columnar Storage
  • Vectorized Execution
  • Rich SQL Support
  • Parquet Support
  • CSV/JSON Import
  • Zero Dependencies
  • Python

Only in PostgreSQL

  • ACID Compliance
  • JSON/JSONB Support
  • Full-text Search
  • Extensibility
  • Advanced Indexing
  • Partitioning
  • Replication
  • pgAdmin

Both cover

  • Linux support
  • Windows support
  • Mac support

What people use each for

The jobs each tool is most often brought in to do.

DuckDB

  • Analytics and data warehousingnot PostgreSQL
  • OLAP queries and data explorationnot PostgreSQL
  • Data science and machine learning workflowsnot PostgreSQL
  • Multi-format data ingestion and processingnot PostgreSQL

PostgreSQL

  • Transaction processingnot DuckDB
  • Data storagenot DuckDB
  • Application backendnot DuckDB
  • Reportingnot DuckDB
  • Data analyticsnot DuckDB

Where each one falls short

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

DuckDB

  • Client-server setup remains in beta and not recommended for production distributed scenarios

PostgreSQL

  • Requires manual scaling across multiple machines for very large deployments
  • Performance tuning requires deep knowledge of database internals
  • No built-in graphical admin interface; command-line tools are primary method

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

PostgreSQL

Free

No published plan breakdown. See the PostgreSQL review.

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 columnar storage.
DuckDB review

Choose PostgreSQL if

  • You need acid compliance.
  • You want to start without paying.
  • You work on Linux, Windows, macOS, BSD, Unix.
  • You also want json/jsonb support.
PostgreSQL review

Questions people ask

Is DuckDB or PostgreSQL better?
Neither clearly leads. DuckDB starts at Free and PostgreSQL at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or PostgreSQL?
DuckDB starts at Free and PostgreSQL at Free.
Does DuckDB or PostgreSQL run on more platforms?
DuckDB runs on Linux, macOS, Windows, WebAssembly. PostgreSQL runs on Linux, Windows, macOS, BSD, Unix.
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 analytics and data warehousing, olap queries and data exploration, data science and machine learning workflows, multi-format data ingestion and processing. Of those, analytics and data warehousing and olap queries and data exploration are not what PostgreSQL is typically brought in for.
What can DuckDB do that PostgreSQL cannot?
DuckDB covers In-process Execution, Columnar Storage, Vectorized Execution, Rich SQL Support. PostgreSQL covers ACID Compliance, JSON/JSONB Support, Full-text Search, Extensibility. Both handle Linux support, Windows support, Mac support.

Answered from the vendors’ own pages

PostgreSQL: Is PostgreSQL completely free?

Yes. PostgreSQL is completely free and open source with no licensing fees or restrictions on use.

Source
PostgreSQL: What platforms does PostgreSQL run on?

PostgreSQL runs on all major operating systems including Linux, Windows, macOS, BSD, and commercial Unix variants, and has been proven highly scalable managing terabytes to petabytes of data.

Source
PostgreSQL: What procedural languages are supported?

PostgreSQL supports stored functions and procedures in multiple languages including PL/pgSQL, Perl, Python, Tcl, Java, JavaScript, R, and Rust.

Source
PostgreSQL: What is ACID compliance in PostgreSQL?

PostgreSQL has been ACID-compliant since 2001, ensuring data integrity through atomicity, consistency, isolation, and durability guarantees for all transactions.

Source
PostgreSQL: Does PostgreSQL support JSON data?

Yes. PostgreSQL supports JSON and JSONB data types for storing and querying JSON documents, along with XML and other document formats.

Source
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