AWS Data Wrangler
AWS Data Wrangler connects Pandas with AWS data services and databases, including Athena, Glue, Redshift, and S3.
About AWS Data Wrangler
AWS Data Wrangler is an open source Python library, published on GitHub under the name AWS SDK for pandas (awswrangler), that connects pandas DataFrames with AWS data services and databases. The project is an AWS Professional Service open source initiative. The repository's quick start shows examples that write a DataFrame to Amazon S3 as Parquet with an optional Glue Catalog table, read S3 data back, run Amazon Athena SQL queries, connect to Redshift through a Glue connection, and write and query Amazon Timestream.
The library can be installed with pip or conda. From version 3.0, optional modules such as Redshift support must be installed explicitly, for example with pip install 'awswrangler[redshift]'. The project also states that workflows can run at scale by using Modin and Ray to distribute processing across a cluster of workers.
Key features
- Writes pandas DataFrames to Amazon S3 as Parquet, with optional Glue Catalog table registration.
- Reads S3 data into DataFrames, including Parquet datasets.
- Runs Amazon Athena SQL queries and returns the results as DataFrames.
- Connects to Redshift through a Glue connection and reads data, including Redshift Spectrum tables.
- Writes data to and queries data from Amazon Timestream.
- Distributes workflows across a cluster of workers using Modin and Ray.
Best for: Python developers and data practitioners who already use pandas and need to move data between pandas and AWS data services.
Good for
- Open source, with the source code and license available in the repository.
- Can be installed with pip or conda.
Watch out for
- From version 3.0, optional modules such as Redshift support must be installed explicitly.
AWS Data Wrangler at a glance
- Category
- Development › Developer Tools
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for Developer Tools
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AWS Data Wrangler FAQ
How do I install AWS SDK for pandas (awswrangler)?
Use pip install awswrangler or conda install -c conda-forge awswrangler. For Redshift support from version 3.0 onward, use pip install 'awswrangler[redshift]'.
Which databases does the library connect to?
The repository lists PostgreSQL, MySQL, and SQLServer, and a tutorial covers Redshift, MySQL, PostgreSQL, SQL Server, and Oracle.
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