- Installation
- 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
- 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
- Conversion between DuckDB and Python
- DB API
- Relational API
- Function API
- Types API
- Expression API
- Spark API
- API Reference
- Known Python Issues
- 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 TABLE
- ALTER VIEW
- ATTACH and DETACH
- CALL
- CHECKPOINT
- COMMENT ON
- COPY
- CREATE INDEX
- CREATE MACRO
- CREATE SCHEMA
- CREATE SECRET
- CREATE SEQUENCE
- CREATE TABLE
- CREATE VIEW
- 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
- 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
- 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
- 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
- jemalloc
- Lance
- MotherDuck
- MySQL
- ODBC
- Quack
- PostgreSQL
- Spatial
- SQLite
- 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
- 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
- DuckDB's Footprint
- Installing DuckDB
- Logging
- User Agents
- Securing DuckDB
- Non-Deterministic Behavior
- Limits
- DuckDB Docker Container
- Development
- DuckDB Repositories
- Release Cycle
- Metrics
- Profiling
- Building DuckDB
- Overview
- Build Configuration
- Building Extensions
- Android
- Linux
- macOS
- Raspberry Pi
- Windows
- Python
- R
- Troubleshooting
- Unofficial and Unsupported Platforms
- Benchmark Suite
- Testing
- Internals
- Sitemap
- Live Demo
This page is the entry point for authenticating to S3 and other AWS services from DuckDB. Authentication is configured using secrets, and the detailed reference material lives on the S3 API Support and AWS Extension pages. The sections below explain which method to use and link to the relevant reference.
Choosing an Authentication Method
There are two S3 secret providers. Use the config provider when you have static credentials, and the credential_chain provider when you want DuckDB to fetch credentials automatically through the AWS SDK.
| Situation | Method | Reference |
|---|---|---|
| You have a static access key and secret | config provider |
config provider |
Credentials come from ~/.aws/credentials or ~/.aws/config profiles |
credential_chain with a profile |
Selecting a Profile |
| You sign in with AWS IAM Identity Center (SSO) | credential_chain with the sso chain |
Single Sign-On (SSO) |
| You assume an IAM role via STS | credential_chain with the sts chain |
Assuming a Role (STS) |
| You run on Amazon EKS with IAM Roles for Service Accounts (IRSA) | credential_chain with the web_identity chain |
Web Identity (IRSA) |
| You run on an EC2 instance and want to use its instance profile | credential_chain with the instance chain |
credential_chain provider |
| You connect to Amazon RDS or Aurora with IAM authentication | rds secret |
Amazon RDS (IAM Authentication) |
The config provider is part of the httpfs extension and works with any S3-compatible storage. The credential_chain provider is AWS-specific and is provided by the aws extension, which is autoloaded on first use.
Static Credentials: the config Provider
Supply the key and secret directly:
CREATE OR REPLACE SECRET secret (
TYPE s3,
PROVIDER config,
KEY_ID 'AKIAIOSFODNN7EXAMPLE',
SECRET 'wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY',
REGION 'us-east-1'
);
See the config provider documentation for the full details, including how to set an explicit ENDPOINT for non-AWS storage.
Automatic Credentials: the credential_chain Provider
The credential_chain provider fetches credentials automatically using the AWS SDK, covering profiles, SSO, assumed roles, web identities (IRSA), and instance metadata. To use the AWS SDK default provider:
CREATE OR REPLACE SECRET secret (
TYPE s3,
PROVIDER credential_chain
);
You can select a specific chain with the CHAIN keyword and refine the behavior for each method. The individual mechanisms are documented on the AWS Extension page:
For behavior common to all credential_chain secrets, see Region Resolution, Validation, and Auto-Refresh.
Secret Parameters
The full list of S3 secret parameters that apply to both providers (ENDPOINT, REGION, URL_STYLE, USE_SSL, KMS_KEY_ID, REQUESTER_PAYS, and more) is documented in the Overview of S3 Secret Parameters. Platform-specific secret types for Cloudflare R2 and Google Cloud Storage are also available.
Legacy Authentication
Before DuckDB had a Secrets manager, credentials were loaded through the load_aws_credentials function. This method is deprecated. See the Legacy Authentication Scheme for S3 API page if you are maintaining older setups.