Coginiti + Snowflake
Semantic Intelligence for Snowflake
Snowflake made elastic, governed data sharing simple. Coginiti gives your team a code-first workspace to develop, test, version, and define business meaning on Snowflake, and a semantic layer that serves those definitions to every BI tool and AI agent in the company.
Better Together
Snowflake runs the data. Coginiti runs the meaning.
Snowflake removed the operational burden from the data warehouse. Compute scales on demand, storage is cheap, and the AI Data Cloud keeps adding ways to share, model, and reason over data inside the platform.
The harder problem is organizational. Ten analysts on the same Snowflake account will write ten definitions of active customer unless something captures the trusted one, tests it, and serves it everywhere. Metric drift is a people problem before it is a platform problem.
Coginiti is where the trusted version lives. Develop SQL against Snowflake in the Data Workbench, promote it into versioned CoginitiScript packages with tests, and publish governed entities and measures to a semantic layer. Snowflake stays the system of record for data. Coginiti becomes the system of record for meaning.
Why Coginiti and Snowflake Work Together
Consumption Cost Control
Fewer bad queries. Smaller invoices.
Snowflake bills for what you run. Coginiti's profiling, static analysis, and visual explain plans catch runaway joins and full scans before they hit a warehouse, and shared, tested logic keeps ten teams from recomputing the same metric ten ways.
Open Semantic Standards
Meaning that travels with the data.
Coginiti contributes to Apache Ossie, the vendor-neutral semantic model standard that began as the Open Semantic Interchange. Definitions you build for Snowflake are designed to interoperate rather than lock you in.
Iceberg Ready
Native tables today. Open tables tomorrow.
Coginiti supports Snowflake with Apache Iceberg tables alongside native tables, so a move toward open storage does not fracture your transformation logic or your semantic definitions.
Everything Coginiti Does on Snowflake
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.
Explore databases, schemas, views, and stages from the Coginiti Database Explorer, profile columns in Snowflake tables instantly, and search the Analytics Catalog for existing queries and models before rebuilding what a colleague already trusts.
Explore Data WorkbenchData Transformation
Modular, governed transformation in the language of SQL.
Write modular CoginitiScript transformations that compile to Snowflake SQL. Parameterize by environment, reuse blocks across projects, version every change, and run pipelines against the right virtual warehouse from the workbench or the Execution API.
Explore CoginitiScriptData Quality Testing
Encode assumptions. Validate everything.
Declare schema, uniqueness, completeness, integrity, and volume tests as CoginitiScript test blocks that execute on Snowflake. Route critical failures to stop a pipeline and monitoring failures to log and continue, then schedule the suite to run on your cadence.
Explore CoginitiScript testingSemantic Layer
Define once. Trust everywhere.
Model entities, dimensions, measures, and relationships over Snowflake once, then serve them through JDBC and ODBC to BI tools and through semantic SQL to AI agents. The same definition answers the dashboard, the application, and the chatbot.
Explore Semantic LayerCoginiti Forge
An AI co-developer for the people who build the foundation.
Forge is the co-development agent for Snowflake practitioners. It helps define the semantic graph, drafts CoginitiScript transformations and tests against your schemas, and records the business context behind each definition so it outlives the engineer who wrote it.
Explore AI AgentsCoginiti Guide
Governed answers for stakeholders who need BI, not SQL.
Guide lets business stakeholders ask questions of Snowflake data in plain language and get answers computed from governed definitions, complete with tables and charts, without exposing raw tables or requiring a single line of SQL.
Explore AI AgentsBuilt for Snowflake
Connectivity
- •Native Snowflake connectivity from the Coginiti Data Workbench
- •Authenticate with username and password, key-pair authentication, or OAuth 2.0
- •Snowflake native tables and Snowflake with Apache Iceberg tables both supported
- •Semantic layer served over JDBC and ODBC to Power BI, Tableau, and other BI tools
Where It Fits
- •Analytics teams fighting metric drift across many Snowflake consumers
- •Finance and operations groups that need tested, auditable numbers in every dashboard
- •Organizations running Snowflake beside Oracle, Db2, Teradata, or a second cloud warehouse
- •AI initiatives that need agents grounded in governed Snowflake definitions rather than raw tables
See Coginiti on Snowflake
Bring your own schema. We’ll walk through discovery, transformation, testing, and the semantic layer on your Snowflake environment.
Don't take our word for it.
Ask your favorite AI assistant to weigh in on Coginiti.