- Installation
- What's New in the Docs for 2.0
- Documentation
- Getting Started
- Connect
- Data Import and Export
- Overview
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- Overview
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- Installing and Loading
- SQL to / from JSON
- Caveats
- Multiple Files
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- INSERT Statements
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- Overview
- ADBC
- C
- Overview
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- Go
- Overview
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- Write User Defined Functions
- Profile and Monitor
- Troubleshoot
- Java (JDBC)
- Overview
- Connect
- Import Data
- Run Queries
- Handle Results
- Write User Defined Functions
- Profile and Monitor
- Deploy as Native Image
- Troubleshoot
- Node.js (Neo)
- ODBC
- Python
- Overview
- Data Ingestion
- Appender
- Conversion between DuckDB and Python
- DB API
- Relational API
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- Types API
- Expression API
- Spark API
- API Reference
- Known Python Issues
- Migrating to 2.0
- R
- Rust
- Overview
- Connect
- Import Data
- Run Queries
- Handle Results
- Write User Defined Functions
- Profile and Monitor
- Troubleshoot
- Wasm
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- SQL
- Introduction
- Statements
- Overview
- ANALYZE
- ALTER DATABASE
- ALTER TABLE
- ALTER VIEW
- ATTACH and DETACH
- CALL
- CHECKPOINT
- COMMENT ON
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- COPY
- CREATE INDEX
- CREATE MACRO
- CREATE SCHEMA
- CREATE SECRET
- CREATE SEQUENCE
- CREATE TABLE
- CREATE VIEW
- CREATE TRIGGER
- CREATE TYPE
- DELETE
- DESCRIBE
- DROP
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- INSERT
- LOAD / INSTALL
- MERGE INTO
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- SELECT
- SET / RESET
- SET VARIABLE
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- SUMMARIZE
- Transaction Management
- UNPIVOT
- UPDATE
- UPDATE EXTENSIONS
- USE
- VACUUM
- Query Syntax
- SELECT
- FROM and JOIN
- WHERE
- GROUP BY
- GROUPING SETS
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- LIMIT and OFFSET
- SAMPLE
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- WITH
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- DuckDB's SQL Dialect
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- Samples
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- Overview
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- Iceberg
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- Meta Queries
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- EXPLAIN: Inspect Query Plans
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- List Tables
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- DuckDB Environment
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- Overview
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- My Workload Is Slow
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- Python
- Installation
- Executing SQL
- Jupyter Notebooks
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- SQL on Pandas
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- Export to Numpy
- SQL on Arrow
- Import from Arrow
- Export to Arrow
- Relational API on Pandas
- Multiple Python Threads
- Integration with Ibis
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- Using fsspec Filesystems
- SQL Editors
- Beekeeper Studio SQL Editor
- DBeaver SQL IDE
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- SQL Features
- AsOf Join
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- Graph Queries
- query and query_table Functions
- Merge Statement for SCD Type 2
- Timestamp Issues
- Snippets
- Creating Synthetic Data
- Dutch Railway Datasets
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- Importing Duckbox Tables
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- Troubleshooting
- Glossary of Terms
- Browsing Offline
- Operations Manual
- Overview
- Migrating to DuckDB v2.0
- Backup Extension Repositories
- DuckDB's Footprint
- Installing DuckDB
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- Building DuckDB
- Overview
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- Android
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- Internals
- Sitemap
- Live Demo
DuckDB is designed to be portable and has very few runtime dependencies. Still, there are a few requirements to be aware of before installing or running DuckDB.
Supported Platforms
DuckDB officially supports Linux, macOS and Windows on both x86_64 (AMD64) and AArch64 (ARM64) CPU architectures. Official binaries are distributed for these platforms for both the latest stable version and the preview version (nightly build).
| Platform name | Operating system | Architecture | CPU types | Support level |
|---|---|---|---|---|
linux_amd64 |
Linux | x86_64 (AMD64) | Intel, AMD, etc. | Full |
linux_arm64 |
Linux | AArch64 (ARM64) | AWS Graviton, Snapdragon, etc. | Full |
osx_amd64 |
macOS 12+ | x86_64 (AMD64) | Intel | Partial |
osx_arm64 |
macOS 12+ | AArch64 (ARM64) | Apple Silicon M1, M2, etc. | Full |
windows_amd64 |
Windows 10+ | x86_64 (AMD64) | Intel, AMD, etc. | Full |
windows_arm64 |
Windows 10+ | AArch64 (ARM64) | Copilot+ PC with Qualcomm CPU | Full |
Warning macOS on Intel CPUs (
osx_amd64) is only partially supported. DuckDB binaries and core extensions are still distributed for this platform but, starting with DuckDB 2.0.0, community extensions are no longer built for it. DuckDB 2.1 will stop supportingosx_amd64.
DuckDB can also run on other platforms, such as Linux distributions using musl libc (e.g., Alpine Linux), Android and WebAssembly, with varying levels of support. For details, see the list of platforms on the “Building DuckDB” page. For the platforms extensions are distributed for, see the “Extension Distribution” page.
Linux
DuckDB's official Linux binaries require glibc 2.28 or newer. Since DuckDB 1.3.0, the official Linux binaries are built using the manylinux_2_28 image, which combines an older glibc with a newer compiler. As a result, extensions are no longer distributed for the linux_amd64_gcc4 platform.
Most mainstream Linux distributions ship with glibc 2.28 or newer, so no action is needed on these systems. If you need to run DuckDB on a system with an older glibc, you can build DuckDB from source against that version.