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Connect the warehouses you run to the AI tools that read them.

ekai connects to Snowflake, Databricks, BigQuery, Redshift, PostgreSQL, Azure Synapse, ClickHouse and DuckDB. It publishes verified semantic models to Snowflake semantic views and Cortex Agents, Databricks Genie, BigQuery data agents, or dbt MetricFlow for Postgres and Redshift, and to your own Git.

SnowflakeDatabricksBigQueryRedshiftAzure SynapsePostgreSQLClickHouseDuckDB

Where does ekai read from, and who reads what it builds?

ekai reads semantic information from the systems where your experts already keep it, and serves verified models to the agents that consume them. ekai MCP adds every other MCP-enabled app.

Source

Read semantic information from where the enterprise already keeps it.

Document stores
SharePoint (coming soon)Google Drive (live)OneDrive (coming soon)Box (coming soon)
Enterprise applications
Salesforce (coming soon)NetSuite (coming soon)Coupa (coming soon)SAP (coming soon)Workday (coming soon)ServiceNow (coming soon)HubSpot (coming soon)
Knowledge tools
Confluence (live)Notion (live)ClickUp (coming soon)Jira (live)SAP LeanIX (coming soon)
Governed semantic models
MCP client
reads sources
MCP server
serves agents and apps

ExchangeComing soon

Pull existing definitions in, push ekai output back.

Data catalogs
OpenMetadata (coming soon)DataHub (coming soon)Atlan (coming soon)Collibra (coming soon)Alation (coming soon)Microsoft Purview (coming soon)

Serve

Give every agent and app governed semantic models with correct data.

Conversational BI agents
Snowflake CoWork (live)Databricks Genie (live)BigQuery data agents (live)Wren AI (coming soon)
GenAI applications
Customer supportFinanceSalesMarketingProcurement

Live: Snowflake CoWork, Databricks Genie and BigQuery data agents, dbt MetricFlow as a publish target for Postgres and Redshift, plus Google Drive, Notion and Atlassian as sourcesComing soon: the other agents and source connectors, data catalogs and Exchange

Every MCP-enabled tool reaches ekai through the same interface, instead of a one-to-one integration per vendor.

Connect with MCP

Setup steps for Claude, ChatGPT, VS Code and Cursor, and which connectors are live.

Set up ekai MCP

Which warehouses does ekai support, and how deeply?

PlatformData connection and ingestionArtifact and model creationNative semantic agent integrationNotes
Snowflake✓ Supported✓ Supported✓ SupportedSnowflake semantic views and Cortex Agents, for Snowflake CoWork. Also a Snowflake Native App, listed on the Snowflake Marketplace.
Databricks✓ Supported✓ Supported✓ SupportedGoverned metric views that Databricks Genie queries directly.
BigQuery✓ Supported✓ Supported✓ SupportedPublishes BigQuery data agents.
Redshift✓ Supported✓ Supported✓ SupportedProfiling, ERD generation and dbt execution. Publishes to dbt MetricFlow, with dbt to your Git.
PostgreSQL✓ Supported✓ Supported✓ SupportedProfiling, ERD generation and dbt execution. Publishes to dbt MetricFlow, with dbt to your Git.
Azure Synapse✓ Supported✓ SupportedNot supportedProfiling, ERD generation and dbt execution.
ClickHouse✓ Supported✓ SupportedManual stepProfiling, ERD and dbt. Publishing a ClickHouse agent is a manual step, outside ekai.
DuckDB✓ Supported✓ SupportedNot supportedProfiling, ERD generation and dbt execution.

Can one semantic model serve every AI tool?

Change a definition once and every tool inherits it.

One verified definition feeds every tool, so every tool gives the same answer.

Net revenue, verifiedSnowflake CoWorkDatabricks GenieAsk in ekai
Snowflake CoWorkDatabricks GenieBigQuery data agentsAsk in ekaiMCP clients, coming soon

Common questions

Last updated October 28, 2026

Which data platforms does ekai support?

Eight: Snowflake, Databricks, BigQuery, Redshift, PostgreSQL, Azure Synapse, ClickHouse and DuckDB.

Does ekai work with Snowflake CoWork?

Yes. ekai publishes Snowflake semantic views and Cortex Agents, so Snowflake CoWork answers from the same definitions, and generates Cortex Analyst-compatible semantic models.

Does ekai work with Databricks Genie?

Yes. ekai publishes governed metric views that Genie queries directly.