DuckDB pricing guide details
Understanding DuckDB pricing is straightforward: DuckDB is completely free and open-source. Released under the MIT license, DuckDB costs nothing to download, deploy, and use in production -- making it one of the most accessible analytical databases available today.
Pricing Overview
DuckDB follows a pure open-source model with no paid tiers, no premium editions, and no usage-based fees. Every user gets the full-featured database engine at zero cost.
| Plan | Price | Description |
|---|---|---|
| DuckDB (MIT License) | Free | Complete in-process SQL OLAP database with all features, extensions, and the DuckLake format included |
Unlike many database vendors that segment features across free and paid tiers, DuckDB ships everything in a single, unrestricted package. There are no "community" vs. "enterprise" splits. The core engine, all official extensions, and the DuckLake format are released under the MIT license, which permits commercial use without licensing fees. You can embed DuckDB in proprietary applications, deploy it across thousands of nodes, or bundle it in commercial products without paying a cent.
Key Features by Plan
Since DuckDB offers a single, fully-featured release, every user gets access to the complete feature set. Here is what the free-and-only tier includes:
- Columnar-vectorized query execution engine for high-performance analytical queries that process large batches of values in single operations
- Full SQL support including arbitrary and nested correlated subqueries, window functions, and a friendly SQL dialect with extensions like GROUP BY ALL and AsOf joins
- Complex data types including arrays, structs, and maps for handling nested and semi-structured data
- Native file format support for Parquet, CSV, and JSON -- query files directly without importing
- Cloud storage integration with S3, Azure, and other object stores for querying data lakes directly
- Idiomatic client APIs for Python, Go, Java, Node.js, Rust, R, and a standalone CLI
- Extension system for adding spatial queries, Iceberg table support, PostgreSQL integration, and more
- Larger-than-memory workloads handled by DuckDB's storage engine so you do not run out of memory
- Cross-platform portability across all popular operating systems and major CPU architectures
There are no feature gates, no seat limits, and no query volume restrictions.
Plan Comparison With Competitors
DuckDB competes in the analytical database space alongside tools that range from open-source to managed cloud services. Here is how pricing compares across the category:
| Tool | Pricing Model | Free Tier | Paid Plans |
|---|---|---|---|
| DuckDB | Open Source (MIT) | Full product, free forever | None -- everything is free |
| MotherDuck | Freemium | Free tier (1 user) | Pro $25/mo, Team $49/mo |
| Neo4j | Freemium | AuraDB Free, Community Edition free | AuraDB Professional $65/GB/month |
| InfluxDB | Open Source | Community Edition free (self-hosted) | $250 |
MotherDuck deserves special mention as a cloud-hosted service built on top of DuckDB. If you want a managed DuckDB experience with collaboration features, MotherDuck starts at $25/mo for Pro or $49/mo for Team plans, with a free tier for individual users. DuckDB itself remains free regardless of how you deploy it.
Neo4j offers a graph database with a free cloud tier (AuraDB Free) and a self-hosted Community Edition, but its managed Professional tier costs $65/GB/month. InfluxDB, focused on time-series workloads, provides a free self-hosted Community Edition with cloud pricing starting at $250.
Free Tier and Trial Options
DuckDB does not have a "free tier" in the traditional sense because the entire product is free. There is no trial period, no credit card required, and no feature restrictions that unlock with payment. You install DuckDB in seconds using a single command:
- CLI:
curl https://install.duckdb.org | sh - Python:
pip install duckdb - Node.js:
npm install @duckdb/node-api - Java: Available as a JDBC driver
- Go/Rust: Standard package manager installation
The MIT license grants unrestricted commercial and non-commercial use. With over 37,500 GitHub stars, DuckDB has a large and active community backing the project. The latest release (v1.5.2, April 2026) confirms ongoing active development.
Who Should Choose Each Plan
Since DuckDB has a single plan -- free -- the real question is whether DuckDB is the right tool for your use case.
Individual analysts and data scientists should choose DuckDB when they need fast analytical queries on local data. It runs directly on your laptop, processes Parquet and CSV files without a server, and integrates natively with Python and R workflows. The zero-setup experience makes it ideal for exploratory analysis.
Small to mid-size teams benefit from DuckDB when they need an embedded analytical engine without infrastructure overhead. There are no per-seat costs, so the entire team can use it without budget concerns. For teams wanting managed cloud collaboration on top of DuckDB, MotherDuck offers Pro at $25/mo or Team at $49/mo.
Enterprises and large organizations can deploy DuckDB at scale without licensing negotiations. The MIT license permits embedding DuckDB in commercial products, running it across distributed systems, and modifying the source code. Organizations processing analytical workloads that do not require a persistent server-based architecture will find DuckDB a cost-effective alternative to paid data warehouse solutions.
Application developers building data-intensive applications should consider DuckDB as an embedded analytical engine. Its in-process architecture eliminates network latency and server management, while the extension system supports specialized workloads like spatial queries and data lake access.