Search Shortcut cmd + k | ctrl + k
- Installation
- What's New in the Docs for 2.0
- Documentation
- Getting Started
- Connect
- Data Import and Export
- Overview
- Data Sources
- CSV Files
- IO
- JSON Files
- Overview
- Creating JSON
- Loading JSON
- Writing JSON
- JSON Type
- JSON Functions
- Format Settings
- Installing and Loading
- SQL to / from JSON
- Caveats
- Multiple Files
- Parquet Files
- Partitioning
- Appender
- INSERT Statements
- Lakehouse Formats
- Client APIs
- Overview
- ADBC
- C
- Overview
- Startup
- Configuration
- Query
- Data Chunks
- Vectors
- Values
- Types
- Prepared Statements
- Appender
- Table Functions
- Replacement Scans
- API Reference
- C++
- CLI
- Overview
- Arguments
- Dot Commands
- Output Formats
- Agent Mode
- Editing
- Friendly CLI
- Safe Mode
- Autocomplete
- Syntax Highlighting
- Known Issues
- Go
- Overview
- Connect
- Import Data
- Run Queries
- Handle Results
- 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
- Function API
- 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
- Tertiary Clients
- SQL
- Introduction
- Statements
- Overview
- ANALYZE
- ALTER DATABASE
- ALTER TABLE
- ALTER VIEW
- ATTACH and DETACH
- CALL
- CHECKPOINT
- COMMENT ON
- CONNECT and DISCONNECT
- COPY
- CREATE INDEX
- CREATE MACRO
- CREATE SCHEMA
- CREATE SECRET
- CREATE SEQUENCE
- CREATE TABLE
- CREATE VIEW
- CREATE TRIGGER
- CREATE TYPE
- DELETE
- DESCRIBE
- DROP
- EXPORT and IMPORT DATABASE
- INSERT
- LOAD / INSTALL
- MERGE INTO
- PIVOT
- Profiling
- PREPARE, EXECUTE, and DEALLOCATE
- SELECT
- SET / RESET
- SET VARIABLE
- SHOW and SHOW DATABASES
- SUMMARIZE
- Transaction Management
- UNPIVOT
- UPDATE
- UPDATE EXTENSIONS
- USE
- VACUUM
- Query Syntax
- SELECT
- FROM and JOIN
- WHERE
- GROUP BY
- GROUPING SETS
- HAVING
- ORDER BY
- LIMIT and OFFSET
- SAMPLE
- Unnesting
- WITH
- WINDOW
- QUALIFY
- VALUES
- FILTER
- Set Operations
- Prepared Statements
- Data Types
- Overview
- Array
- Bitstring
- Blob
- Boolean
- Date
- Enum
- Geometry
- Interval
- List
- Literal Types
- Map
- NULL Values
- Numeric
- Struct
- Text
- Time
- Timestamp
- Time Zones
- Union
- Typecasting
- Variant
- Expressions
- Overview
- CASE Expression
- Casting
- Collations
- Comparisons
- IN Operator
- Logical Operators
- Star Expression
- Subqueries
- TRY
- Functions
- Overview
- Aggregate Functions
- Array Functions
- Bitstring Functions
- Blob Functions
- Date Format Functions
- Date Functions
- Date Part Functions
- Enum Functions
- Geometry Functions
- Interval Functions
- Lambda Functions
- List Functions
- Map Functions
- Nested Functions
- Numeric Functions
- Pattern Matching
- Regular Expressions
- Struct Functions
- Text Functions
- Time Functions
- Timestamp Functions
- Timestamp with Time Zone Functions
- Union Functions
- Utility Functions
- Variant Functions
- Window Functions
- Constraints
- Indexes
- Meta Queries
- DuckDB's SQL Dialect
- Overview
- Indexing
- Friendly SQL
- Keywords and Identifiers
- Order Preservation
- PostgreSQL Compatibility
- SQL Quirks
- PEG Parser
- Samples
- Configuration
- Extensions
- Overview
- Installing Extensions
- Advanced Installation Methods
- Distributing Extensions
- Extension Repositories
- Community Extensions
- Versioning of Extensions
- Troubleshooting of Extensions
- Core Extensions
- Overview
- AutoComplete
- Avro
- AWS
- Azure
- Delta
- DuckLake
- Encodings
- Excel
- Full Text Search
- httpfs (HTTP and S3)
- Overview
- HTTP(S) Support
- Hugging Face
- S3 API Support
- S3 and AWS Authentication
- Legacy Authentication Scheme for S3 API
- Iceberg
- ICU
- inet
- Lance
- Legacy Parser
- MotherDuck
- MySQL
- ODBC
- Quack
- PostgreSQL
- Sirius
- Spatial
- SQLite
- SQLSmith
- TPC-DS
- TPC-H
- UI
- Unity Catalog
- Vortex
- VSS
- Quack Remote Protocol
- Guides
- Overview
- Data Viewers
- Database Integration
- File Formats
- Overview
- CSV Import
- CSV Export
- Directly Reading Files
- Directly Reading DuckDB Databases
- Excel Import
- Excel Export
- JSON Import
- JSON Export
- Parquet Import
- Parquet Export
- Querying Parquet Files
- File Access with the file: Protocol
- Meta Queries
- Describe Table
- EXPLAIN: Inspect Query Plans
- EXPLAIN ANALYZE: Profile Queries
- List Tables
- Summarize
- DuckDB Environment
- Network and Cloud Storage
- Overview
- HTTP Parquet Import
- HTTP CSV Import
- S3 Parquet Import
- S3 Parquet Export
- S3 Iceberg Import
- S3 Express One
- GCS Import
- Cloudflare R2 Import
- DuckDB over HTTPS / S3
- Share a Views-Only Database
- Fastly Object Storage Import
- SeaweedFS Import
- Tigris Import
- ODBC
- Performance
- Overview
- Environment
- Import
- Schema
- Indexing
- Join Operations
- File Formats
- How to Tune Workloads
- My Workload Is Slow
- Out-of-Memory Issues
- Benchmarks
- Working with Huge Databases
- Python
- Installation
- Executing SQL
- Jupyter Notebooks
- marimo Notebooks
- SQL on Pandas
- Import from Pandas
- Export to Pandas
- Import from Numpy
- Export to Numpy
- SQL on Arrow
- Import from Arrow
- Export to Arrow
- Relational API on Pandas
- Multiple Python Threads
- Integration with Ibis
- Integration with Polars
- Integration with PyTorch
- Using fsspec Filesystems
- SQL Editors
- Beekeeper Studio SQL Editor
- DBeaver SQL IDE
- DBine SQL Editor
- LibreDB Studio SQL Editor
- VisuaLeaf SQL Editor
- SQL Features
- AsOf Join
- Full-Text Search
- Graph Queries
- query and query_table Functions
- Merge Statement for SCD Type 2
- Timestamp Issues
- Snippets
- Creating Synthetic Data
- Dutch Railway Datasets
- Sharing Macros
- Analyzing a Git Repository
- Importing Duckbox Tables
- Copying an In-Memory Database to a File
- Calculating a Database Checksum
- Troubleshooting
- Glossary of Terms
- Browsing Offline
- Operations Manual
- Overview
- Migrating to DuckDB v2.0
- Backup Extension Repositories
- DuckDB's Footprint
- Installing DuckDB
- Logging
- User Agents
- Securing DuckDB
- Non-Deterministic Behavior
- Limits
- DuckDB Docker Container
- Development
- Overview
- DuckDB Repositories
- Release Cycle
- Metrics
- Profiling
- Building DuckDB
- Overview
- Build Configuration
- Building Extensions
- Statically Linking Extensions
- Android
- Linux
- macOS
- Raspberry Pi
- Windows
- Python
- R
- Troubleshooting
- Unofficial and Unsupported Platforms
- Benchmark Suite
- Testing
- Overview
- sqllogictest Introduction
- Writing Tests
- Unit Tester Configuration
- Debugging
- Result Verification
- Persistent Testing
- Loops
- Multiple Connections
- Catch
- Internal Errors
- Internals
- Sitemap
- Live Demo
Requirements
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.
© 2026 DuckDB Foundation, Amsterdam NL