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About

Genie Code is an AI agent built for data teams that analyzes, builds, and maintains complex data workflows inside the Databricks workspace. It autonomously plans and executes multistep tasks while adapting to an organization’s data and governance model, with specialized capabilities across data engineering, data science, machine learning, and business intelligence. Grounded in Unity Catalog metadata, semantics, and governance, it can identify authoritative tables, metrics, and assets, understand dependencies across data and AI systems, and respect existing access controls. For data science, Genie Code can find and clean data, explore datasets, test hypotheses, and generate shareable reports. Machine learning workflows include feature engineering, model training and evaluation, deployment, endpoint configuration, and performance tuning. Data engineers can use natural language to automate ETL workloads, optimize queries, and build Spark Declarative Pipelines.

About

Databricks Genie One is a data-smart AI coworker for business users that provides a single place to ask questions, explore dashboards, work with enterprise knowledge, and take action using AI grounded in organizational data. Users can ask questions in natural language and receive context-aware answers across structured data in Databricks and unstructured knowledge sources without writing SQL or waiting for an analyst. Genie Ontology automatically builds and continuously improves a knowledge graph of business terms, entities, and KPIs, giving answers and actions shared business context. Genie One can automate work by scheduling tasks, monitoring changes, drafting documents, saving reusable skills, and triggering updates across tools such as email, Jira, and Slack. It also supports custom Databricks Apps, AI/BI dashboards, more than 100 connectors, external sources such as Google Drive and Salesforce, and MCP for bringing Genie into other business applications.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Data engineers, data scientists, ML engineers, and analytics teams seeking to automate complex data, machine learning, pipeline, and BI workflows

Audience

Business users, knowledge workers, and frontline teams seeking to analyze enterprise data, uncover insights, and automate business actions through governed conversational AI

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Databricks
Founded: 2013
United States
www.databricks.com/product/genie/code

Company Information

Databricks
Founded: 2013
United States
www.databricks.com/product/genie/one

Alternatives

Alternatives

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Snowflake CoCo

Snowflake
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Snowflake CoCo

Snowflake
Lakeflow Designer

Lakeflow Designer

Databricks

Categories

Categories

Integrations

Databricks
SQL
Atlassian Clover
Glean
Gmail
Google Calendar
Google Drive
Jira
Microsoft SharePoint
Microsoft Teams
Model Context Protocol (MCP)
Salesforce
Slack

Integrations

Databricks
SQL
Atlassian Clover
Glean
Gmail
Google Calendar
Google Drive
Jira
Microsoft SharePoint
Microsoft Teams
Model Context Protocol (MCP)
Salesforce
Slack
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