AWS Data Analytics

Helps build AWS data lakes, run Athena queries and manage ETL with S3 Tables and Glue.

What AWS Data Analytics can do in ChatGPT

Data lake and ETL work on AWS.

S3 Tables

Create and manage Iceberg tables on S3 Tables.

Data Ingestion

Load data from Redshift, Snowflake, BigQuery and more.

Catalog Discovery

Explore the Glue Data Catalog and find assets.

Athena Queries

Run federated queries across your data sources.

Vector Search

Store vectors and search by meaning on S3 Vectors.

You stay in control

You approve access, and you can disconnect AWS Data Analytics at any time.

DeveloperAmazon Web Services
Version1.0.0
Listing checked8 Oct 2026
Open AWS Data Analytics

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AWS Data Analytics

What AWS Data Analytics does in ChatGPT

The AWS Data Analytics plugin gives ChatGPT skills for data lake, analytics and ETL work on AWS. It centers on S3 Tables, AWS Glue and Athena, and covers managed Iceberg tables on S3 Tables, which are tables stored in an open format that many query tools can read.

It helps with bringing data in from JDBC databases, Amazon Redshift, Snowflake, BigQuery and DynamoDB. It can take stock of the AWS Glue Data Catalog, find data assets, run Athena queries that reach across sources, and set up vector storage and meaning-based search on Amazon S3 Vectors.

Its skills include connecting to a data source, creating a data lake table, exploring the data catalog, ingesting into the lake, querying the lake, a Redshift guide and an OpenSearch skill. What it can touch depends on the AWS account you connect.

Built-in skills

The listing says AWS Data Analytics comes with 8 named skills plus 1 more. Skills are ready-made instructions ChatGPT can use for a specific job.

  • Amazon opensearch service
  • Connecting to data source
  • Creating data lake table
  • Exploring data catalog
  • Finding data lake assets
  • Ingesting into data lake
  • Querying data lake
  • Redshift guide

Who it is for

  • Data engineers on AWS
  • Analysts querying data lakes
  • Teams moving data from other warehouses

How to add AWS Data Analytics to ChatGPT

  1. Open the AWS Data Analytics listing in ChatGPT ↗.
  2. Click Install plugin.
  3. Sign in to your AWS Data Analytics account when asked and approve the access it requests.
  4. Start a chat and ask for what you need, mentioning AWS Data Analytics if ChatGPT does not pick it up.
  5. To stop, disconnect AWS Data Analytics under apps in your ChatGPT settings.

Questions about AWS Data Analytics

What is the AWS Data Analytics ChatGPT plugin?

The AWS Data Analytics plugin gives ChatGPT skills for data lake, analytics and ETL work on AWS. It centers on S3 Tables, AWS Glue and Athena, and covers managed Iceberg tables on S3 Tables, which are tables stored in an open format that many query tools can read. It is listed in ChatGPT's plugin marketplace under Data & Analytics.

What can I ask AWS Data Analytics to do in ChatGPT?

For example: "Create an Iceberg table on S3 Tables for our event data", "Ingest the orders table from our Postgres database into the data lake", "What tables are in our Glue Data Catalog for marketing?". It also comes with built-in skills such as Amazon opensearch service, Connecting to data source and Creating data lake table.

Who makes the AWS Data Analytics plugin for ChatGPT?

The ChatGPT listing names Amazon Web Services as the developer. The version listed on 8 October 2026 was 1.0.0.

How do I add AWS Data Analytics to ChatGPT?

Open the AWS Data Analytics listing in ChatGPT, click Install plugin, sign in to your AWS Data Analytics account and approve the access it asks for. Then ask for what you need in a chat, mentioning AWS Data Analytics if ChatGPT does not pick it up.

Can AWS Data Analytics change things in my account, or only read?

It works with S3 Tables, Glue, Athena, Redshift, OpenSearch and S3 Vectors in the AWS account you connect, within that account's permissions.

Who is the AWS Data Analytics plugin for?

Data engineers on AWS, analysts querying data lakes and teams moving data from other warehouses.

Can AWS Data Analytics pull data from Snowflake or BigQuery?

Yes. The listing names ingestion from JDBC databases, Amazon Redshift, Snowflake, BigQuery and DynamoDB.

Does it support vector search?

Yes. It covers vector storage and semantic search on Amazon S3 Vectors.

Does AWS Data Analytics see my ChatGPT chats?

When AWS Data Analytics is connected, ChatGPT may share the parts of your chats and memories that matter for a request with AWS Data Analytics. What AWS Data Analytics does with that data falls under its own terms and privacy policy. ChatGPT keeps your training-data settings, and you can disconnect at any time.

How do I disconnect AWS Data Analytics from ChatGPT?

Open your ChatGPT settings, go to apps, and disconnect AWS Data Analytics. You can reconnect later from the listing.

What are alternatives to AWS Data Analytics in ChatGPT?

Similar plugins in the ChatGPT marketplace include BigQuery, Allium and Sigma. Each has its own page in this directory.

Privacy and your data

When AWS Data Analytics is connected, ChatGPT may share the parts of your chats and memories that matter for a request with AWS Data Analytics. What AWS Data Analytics then does with that data falls under its own terms and privacy policy, not only OpenAI's. ChatGPT keeps your training-data settings for data that comes from connected apps, and you can disconnect at any time.