Databases (Core)

DuckDB

In-process SQL OLAP database for fast analytics and queries.

Status
Generally available
Last checked
Checked · Oct 15, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

DuckDB is an in-process SQL OLAP database management system optimized for analytical workloads, providing fast query performance similar to SQLite but tailored for data analysis tasks.

DuckDB stands out as an efficient and fast in-process SQL OLAP database, offering optimized performance for analytical workloads without the overhead of traditional databases.

When it fits — and when it doesn’t

A good fit for

  • Developers building applications that require fast in-process SQL queries for analytics

  • Data scientists working with large datasets and needing efficient query performance

  • Teams looking to integrate a lightweight, high-performance database into their ETL pipelines

Look elsewhere if

  • Applications requiring real-time data streaming capabilities

  • Scenarios where external database management is preferred over in-process solutions

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited support for distributed computing

    DuckDB is primarily designed as an in-process database and lacks native support for distributed query processing, which can be a limitation for large-scale data analysis tasks.

  2. 02

    Performance degradation with very large datasets

    While DuckDB excels with medium-sized analytical workloads, performance may suffer when dealing with extremely large datasets that exceed available memory, as it is optimized for in-memory processing.

  3. 03

    Limited external integrations and ecosystem support

    DuckDB has a growing ecosystem but still lacks the extensive set of connectors and integrations found in more mature database systems like PostgreSQL or Apache Spark, which can limit its utility in complex data pipelines.

  4. 04

    Documentation is not as comprehensive as established databases

    The documentation for DuckDB is improving but still lacks the depth and breadth found in more mature database systems. This can make it harder to find detailed information on advanced features or troubleshooting specific issues.

What it does well

  • In-process database for fast query performance

  • Optimized for analytical workloads and OLAP operations

  • Supports SQL queries with advanced analytics capabilities

  • Efficient memory management and storage optimization

  • Embeddable in applications as a library

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up DuckDB

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →