Genie
AI agent · Data & analytics agent · Data & analytics by Databricks
Your data-aware AI partner for conversational analytics and governed insights.
Genie is a conversational AI agent for Databricks that allows business teams to analyze data using natural language. It provides governed, context-aware insights natively integrated with Unity Catalog, eliminating the need for per-seat license fees.
Agent specs
- For
- Business teams and data analysts seeking self-service conversational analytics.
- Actions
- Engage with data through natural language, Create analytical datasets, Generate interactive dashboards, Create data visualizations
- Integrations
- Unity Catalog, Databricks Data + AI Platform, Databricks Lakehouse
- Channels
- API
- Autonomy
- Assists a person
- Availability
- Generally available as part of the Databricks Data + AI Platform.
- Languages
- English
Category: AI Agents
- Channels
- In-app chat, Website chat, API
- Integrations
- Unity Catalog, Databricks Apps, MLflow, MCP servers
- Deployment
- Cloud (AWS, Azure, Google Cloud)
- Governance Layer
- Unity Catalog
- Context Layer
- Genie Ontology
- Primary Interface
- Natural Language Chat
- Conversational analytics for natural language data engagement
- No per-seat or per-license fees for AI/BI usage
- Natively integrated with Unity Catalog for unified governance
- Continuous learning from signals across the Databricks estate
- Available as a documentation assistant on Databricks sites
Overview
Genie is a data-aware AI partner and conversational analytics agent built natively into the Databricks Data + AI Platform. It enables business teams to engage with their enterprise data using natural language, moving beyond legacy BI tools by providing trusted, governed answers without requiring SQL expertise. Genie leverages the Unity Catalog for unified governance and semantics, ensuring that metrics and permissions remain aligned across the organization. The agent continuously learns from signals across the Databricks estate and uses a specialized ontology to understand unique business concepts. It is available both as a standalone conversational interface and as an integrated assistant on the Databricks documentation site to help users find technical information.
Conversational Analytics
- Natural Language Analytics: Users can engage with their data through natural language to receive immediate insights without writing SQL or code.
- Continuous Learning: Genie continuously learns and improves its accuracy by capturing signals and business concepts from across the Databricks estate.
- Context-Aware Reasoning: The agent provides business-aware reasoning by understanding unique company-specific concepts and data context.
- Documentation Assistance: Genie is available on the Databricks documentation site to help users find answers and discover relevant technical information.
Governance and Control
- Unified Governance Integration: Genie is natively integrated with Unity Catalog to ensure metrics, lineage, and permissions are seamlessly aligned end-to-end.
- Genie Ontology Context: The agent uses Genie Ontology as an enterprise context layer to deliver trusted, permission-aware understanding.
- Auditable Insights: Genie provides governed, auditable answers that comply with enterprise access controls.
Deployment and Collaboration
- Genie Spaces: Users can create and share dedicated Genie spaces for specific business use cases and team collaboration.
- App Integration: Genie can be integrated into custom-built applications using Databricks Apps.
- MCP Server Support: The agent can be enriched with organization-wide business context through the Genie One MCP server.
What it does
- Conversational data analysis
- Natural language querying
- Dashboard creation assistance
- Technical documentation retrieval
- Business insight generation
Use cases
- Business analysts use Genie to perform self-service data exploration and ask follow-up questions in natural language.
- Frontline teams like bankers and underwriters use Genie to get governed, auditable answers to improve client response quality.
- Data teams deploy Genie spaces to provide specific departments with conversational access to curated datasets.
- Technical users interact with Genie on the Databricks documentation site to quickly find how-to guidance and reference information.
Specifications
- Channels
- In-app chat, Website chat, API
- Integrations
- Unity Catalog, Databricks Apps, MLflow, MCP servers
- Data sources
- Databricks Lakehouse, Unity Catalog governed tables, Lakebase
- Human control
- Users can ask follow-up questions and provide feedback to improve agent accuracy.
- Deployment
- Cloud (AWS, Azure, Google Cloud)
- Languages
- English, Japanese, Portuguese, French (Documentation support)
- Governance Layer
- Unity Catalog
- Context Layer
- Genie Ontology
- Primary Interface
- Natural Language Chat
- Integration Method
- Native Databricks Platform Integration
- Cloud Support
- AWS, Azure, Google Cloud
- Pricing Model
- Usage-based (No per-seat fees)
How it works
- Enable AI/BI: Enable AI/BI within the Databricks Data + AI Platform workspace.
- Configure Context: Define business semantics and metrics in Unity Catalog to provide the agent with necessary context.
- Create Genie Space: Create a Genie space and connect it to the relevant governed data sets.
- Engage with Data: Users interact with the agent using natural language to ask questions, generate visualizations, and uncover insights.
Pricing
- AI/BI Genie Usage
- No per-seat or per-license fees
FAQ
Are there per-seat fees for Genie?
Databricks AI/BI, which includes Genie, does not charge per-seat or per-license fees, removing barriers to access across the organization.
How does Genie ensure data governance?
Genie is natively integrated with Unity Catalog, which centralizes business definitions and permissions to ensure one version of truth across all tools.
How does Genie learn about my business?
Genie captures signals from across the Databricks estate and uses the Genie Ontology to continuously learn and improve its understanding of unique business concepts.
Can Genie help with technical documentation?
Yes, Genie is available on the Databricks documentation site to help users quickly discover relevant information and get answers about the platform.
Added by AntSpace from public sources (databricks.com).