
DecisionBox for Amazon Redshift
Autonomous AI discovery on Amazon Redshift.
DecisionBox for Amazon Redshift launched on May 4, 2026 with 16 votes, #970 of 20,538 launches that month and more than 95% of that year's launches.
What it does
DecisionBox connects to Amazon Redshift with read-only IAM credentials and runs autonomous AI discovery against your warehouse. No schema migration, no pipeline. Open source, AGPL v3. Same agent runs against BigQuery, Snowflake, Postgres, and Databricks too.
Native Amazon Redshift support — Serverless or Provisioned, IAM-scoped read access, cross-account via Assume Role, no JDBC driver to manage.
DecisionBox connects to your Amazon Redshift in a few minutes — Serverless or Provisioned, no JDBC driver, no schema migration, no pipeline to build. The agent reads your tables in place, runs read-only queries against them, and surfaces validated insights from what's already in your warehouse. The agent connects with a small set of Redshift Data API permissions and the matching credentials lookup — enough to run queries and read the results, and nothing else. The IAM policy attached to the principal is the access boundary. Same provider, same config flow, whether you run Redshift Serverless or a Provisioned cluster. Fill in the Workgroup Name for Serverless or the Cluster ID and Database…from decisionbox.io
Does a similar job
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DecisionBox – Autonomous AI agent runs data discovery on your warehouseApr 2026 · github.com · ▲6DecisionBox connects to your data warehouse, runs autonomous AI agents that write and execute SQL, and surfaces validated insights and actionable recommendations — without you asking a single question. - decisionbox-io/decisionbox-platform
DecisionBox for DatabricksMay 2026 · decisionbox.io · ▲81Native Databricks support — Unity Catalog read-only grants, runs on the SQL warehouse you pick, OAuth M2M service principal auth for production, no pipeline to build.




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