BI Partner for Databricks | End-to-end AI analytics on the Databricks Lakehouse.

Why are analytics and BI different with GoodData and Databricks?

Both Databricks and GoodData were designed for cloud-scale analytics and AI.

Databricks provides an open Lakehouse architecture for data engineering, analytics, and machine learning. GoodData extends the Lakehouse by defining business meaning once and making it consistently available to users, applications, and AI agents through a governed semantic foundation.

Together, Databricks and GoodData enable organizations to build and operate analytics and AI at scale, moving beyond static dashboards to agent-assisted analysis, automation, and embedded intelligence.

Companies using GoodData on cloud platforms build and manage analytics solutions for up to 22,000 user groups with more than 170,000 end users.

Read more about creating a Databricks data source with GoodData.

Why are analytics and BI different with GoodData and Databricks?

A shared semantic foundation

One defined business meaning for analytics and AI

GoodData provides a centralized means to define metrics, relationships, calculations, and analytical rules once and expose them consistently through APIs.

This unified semantic foundation ensures dashboards, applications, and AI agents operate on the same governed business meaning, enabling trusted analytics, agent-oriented workflows, and faster development across the Databricks ecosystem.

Enterprise-scale analytics governance

Isolation and control across teams and customers

GoodData’s multi-tenant architecture enables organizations to scale AI-enabled analytics on Databricks across teams, customers, or business units with strong isolation and centralized governance.

Analytics environments can be provisioned, versioned, and operated efficiently while sharing the same semantic foundation, supporting secure, consistent analytics across complex organizations.

Learn more

Embedded analytics and AI

Conversational, agent-driven, and embedded insights

GoodData enables organizations to deliver insights through conversational interfaces, embedded environments, and AI agents directly within products and operational systems built on Databricks.

Teams can deploy dashboards, analytics applications, and agent-driven experiences using APIs, SDKs, and secure embedding, ensuring intelligence is available where decisions are made and governed by a single, shared semantic foundation.

Explore Agentic AI