aws-data-analytics Claude Code Plugin

Author: Amazon Web Services
Category: Development
Topics: Data Engineering & Analytics · Cloud, Deployment & CI/CD · Databases & Storage
First cataloged: 2026-07-09 (UTC)
Explanation last updated: 2026-09-04 (UTC)
Source (GitHub) last updated: 2026-09-03 (UTC) (2 days ago)

The explanation below is AI-generated. Please verify it against the sources.

According to its README, it provides nine skills covering data lake table creation, data ingestion, querying, catalog discovery, vector storage, external database connectivity, OpenSearch search/observability work, and Redshift SQL. It also bundles an AWS MCP server for AWS API access and documentation lookup. Using it requires an AWS account with configured credentials and IAM permissions scoped to the relevant services (Athena, Glue, S3, S3 Tables, S3 Vectors).

About the service

It requires AWS credentials via the AWS CLI or environment variables and a configured target region.

What you can do with aws-data-analytics

Ingest data into the data lake from S3, JDBC databases, Snowflake, BigQuery, DynamoDB, or existing Glue catalog tables
Provision and migrate to Amazon OpenSearch Service or Serverless, and build vector, log, or trace analytics

Sources

aws-data-analytics homepage(opens in a new tab) (fetched: 2026-09-04 (UTC))
aws-data-analytics README(opens in a new tab) (fetched: 2026-09-04 (UTC))

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