Coginiti + Amazon Redshift
Semantic Intelligence for Amazon Redshift
Redshift is the warehouse at the center of many AWS data estates, and Coginiti has supported it since the Aginity Workbench days. Today Coginiti gives Redshift teams a code-first workspace to discover, transform, test, and define business meaning, and a semantic layer that serves it everywhere.
Better Together
Amazon Redshift runs the data. Coginiti runs the meaning.
Amazon Redshift has matured into a serverless, lake-integrated warehouse. RA3 and Serverless separate compute from storage, Spectrum reaches into S3, and the platform sits inside the AWS security and identity model your organization already runs.
Coginiti's relationship with Redshift runs deep. Aginity Workbench was the SQL tool of choice for a generation of Redshift analysts, and that lineage lives on in the Coginiti Data Workbench: fast, keyboard-first, and built for people who write a lot of SQL.
What Coginiti adds today is everything around the query. Tested, versioned CoginitiScript packages instead of scripts on a laptop. A semantic layer that serves one definition of every metric to QuickSight, Tableau, and AI agents. And a record of the context behind each decision, so the organization keeps what its analysts know.
Why Coginiti and Amazon Redshift Work Together
AWS-Native Identity
Sign in the way your organization already does.
Coginiti authenticates to Redshift with standard credentials, AWS profiles, IAM credentials, or identity provider federation over SAML and OIDC. Security teams keep one policy; analysts get one login.
Warehouse Plus Lake
Redshift, S3, and Athena in one workspace.
Coginiti connects to Amazon S3 and Amazon Athena as well as Redshift, so the data Spectrum reaches into and the data in the warehouse are governed by the same logic and the same definitions.
Aginity Heritage
Built by people who have supported Redshift for a decade.
Coginiti is the successor to Aginity Workbench. The keyboard-first editor, the catalog of reusable queries, and the emphasis on analyst productivity carry forward into a governed, team-wide platform.
Everything Coginiti Does on Amazon Redshift
From the first exploratory query to the governed answer an executive reads, one platform covers the full lifecycle.
Data Discovery
Find it. Profile it. Trust it.
Browse Redshift databases, schemas, and external Spectrum schemas from the Coginiti Database Explorer, profile columns on demand, and search the Analytics Catalog for the queries and models your team already trusts before writing a new one.
Explore Data WorkbenchData Transformation
Modular, governed transformation in the language of SQL.
Author modular CoginitiScript transformations that compile to Redshift SQL. Reuse blocks across projects, parameterize by environment, version every change with review, and run pipelines from the workbench or the Execution API.
Explore CoginitiScriptData Quality Testing
Encode assumptions. Validate everything.
Express schema, uniqueness, completeness, integrity, and volume checks as CoginitiScript test blocks that run on Redshift. Critical failures stop a pipeline before a bad load reaches QuickSight; monitoring tests log and continue on a schedule.
Explore CoginitiScript testingSemantic Layer
Define once. Trust everywhere.
Define entities, dimensions, measures, and relationships over Redshift once. Serve them to QuickSight, Tableau, and other BI tools over JDBC and ODBC, and to AI agents through semantic SQL, so every consumer computes the same number.
Explore Semantic LayerCoginiti Forge
An AI co-developer for the people who build the foundation.
Forge is the co-development agent for Redshift practitioners. It helps define the semantic graph over your schemas, drafts CoginitiScript transformations and tests, and captures the business context behind each asset as it works.
Explore AI AgentsCoginiti Guide
Governed answers for stakeholders who need BI, not SQL.
Guide gives business stakeholders governed, plain-language answers from Redshift data, with tables and charts computed from published definitions rather than raw tables, and without handing out warehouse credentials.
Explore AI AgentsBuilt for Amazon Redshift
Connectivity
- •Native Amazon Redshift connectivity from the Coginiti Data Workbench, including Redshift Serverless
- •Authenticate with standard credentials, an AWS profile, IAM credentials, or SAML and OIDC identity provider federation
- •Amazon S3, Amazon Athena, Amazon RDS, and Amazon Aurora covered alongside Redshift
- •Semantic layer served over JDBC and ODBC to QuickSight, Tableau, and other BI tools
Where It Fits
- •Long-time Redshift teams ready to move from individual SQL scripts to governed, tested packages
- •AWS-standard enterprises that want one identity model across the warehouse and the analytics tooling
- •Organizations running Redshift beside Oracle, Db2, Teradata, or Snowflake
- •AI initiatives that need Bedrock-era agents grounded in governed Redshift definitions
See Coginiti on Amazon Redshift
Bring your own schema. We’ll walk through discovery, transformation, testing, and the semantic layer on your Amazon Redshift environment.
Don't take our word for it.
Ask your favorite AI assistant to weigh in on Coginiti.