D

Genie Code

AI agent

by Databricks

Autonomous AI agent for data teams inside the Databricks workspace: plans and runs multistep data engineering, data science, machine-learning and dashboard work in notebooks, the SQL editor and pipelines, grounded in Unity Catalog metadata.

Find alternatives to Genie Code

What it does

• Agentic coding
• Data analysis

Sources

Pricing

Not found · 18 Oct 2026

Read the Genie Code product page and its documentation: both state "Fair usage limits prevent abuse but do not affect most users" and give no price or plan.

Description

Official documentation · 18 Oct 2026

"Analyze, build and maintain with agentic AI that understands your data"; "Plans and runs complex workflows end to end, proactively monitoring and resolving issues".

What it does

Official documentation · 18 Oct 2026

"Genie Code is an autonomous agent. It plans solutions, retrieves relevant context, runs code, uses cell outputs to improve results, and fixes errors automatically."

Sold within

Not found · 18 Oct 2026

"Genie Code is part of the Genie family of AI experiences" is portfolio membership; neither page states which Databricks plan includes it.

Name

Official documentation · 18 Oct 2026

"GENIE CODE The AI agent built for data teams"; page title "AI Agent for Data Teams | Databricks Genie Code".

URL

Official documentation · 18 Oct 2026

The product's own page, linked from the Genie product family as "Genie Code".

Deployment

Official documentation · 18 Oct 2026

"It runs in notebooks, the SQL editor, the Lakeflow Pipelines Editor, AI/BI dashboards, and MLflow"; "Genie Code is governed by your Unity Catalog permissions".

Interfaces

Official documentation · 18 Oct 2026

"It runs in notebooks, the SQL editor, the Lakeflow Pipelines Editor, AI/BI dashboards, and MLflow" inside the Databricks workspace.

Intended for

Official documentation · 18 Oct 2026

"The AI agent built for data teams"; "Designed for data work ... fluent in data engineering, data science, machine learning and dashboards."

Also from Databricks

• Agent Bricks Agent platform

  A control plane for building, evaluating, governing and monitoring AI agents across proprietary and open-source models, with native MCP support.

• Databricks AI Search Data service

  A managed hybrid semantic, keyword and vector search service (formerly Mosaic AI Vector Search) with automatic data sync and Unity Catalog governance.

• Databricks Model Serving Model API

  A managed endpoint service for deploying and governing classical ML models, generative models and agents from one interface.

• Databricks Model Training Developer tool

  A managed service for fine-tuning open-source LLMs or training custom models on enterprise data using dedicated GPU infrastructure.

• Databricks AI Platform

  Databricks' tooling for building, fine-tuning, serving and evaluating models and agents on lakehouse data.

• Databricks Data + AI Platform Platform

  Lakehouse platform for storing, governing, querying and sharing enterprise data.

• AI/BI Application

  AI-native business-intelligence product comprising AI/BI Dashboards (AI-assisted dashboard/visualization creation) and Genie Spaces (conversational natural-language exploration of data), built into the Databricks Data + AI Platform with Unity Catalog governance and no per-seat licensing.

• Genie One Application

  AI coworker (the evolution of the earlier Databricks Assistant/Genie) that lets business users ask questions, take action and drive outcomes over enterprise data via natural language, integrating with Slack, Teams, Jira, Google Drive and Salesforce, with mobile apps.

• Unity Gateway Infrastructure service

  Enterprise AI gateway providing centralized cost tracking/budgets, model access (Claude, GPT, Gemini, Grok and others), security/governance (access policies, PII/PHI filtering, audit trails), smart routing and observability across an organization's AI systems.

• Document Intelligence Data service

  Document Intelligence uses AI functions to parse, extract, and classify enterprise documents.

• Databricks Feature Store Data service

  Databricks Feature Store provides a governed layer for building, sharing, and serving machine learning features.

• Genie Agents AI agent

  Genie Agents answer natural-language data questions with SQL queries, result tables, and visualizations.

• AI/BI Dashboards Application

  AI/BI Dashboards provides AI-assisted authoring, data visualization and forecasting.

• AI Runtime Infrastructure service

  AI Runtime provides serverless GPU compute for training, fine-tuning and batch inference of custom models.

• Databricks CustomerLake Application

  Agentic customer data platform embedded in Databricks: builds Customer 360 profiles with agentic identity resolution, syncs audiences to martech and adtech tools, and runs marketing agents that plan and personalise campaigns.

• Lakewatch Platform

  Agentic SIEM built on the Databricks security lakehouse: ingests and normalises security telemetry to OCSF, manages detections as code, and runs agents that author rules, triage alerts and hunt threats.

• Databricks AutoML Developer tool

  Automated machine learning that trains and evaluates classification, regression and forecasting models on a dataset, and writes an editable notebook with the training code for every trial.

• Managed MLflow Developer tool

  Managed MLflow on Databricks: experiment tracking, tracing, evaluation and model management for classical machine learning, deep learning, generative AI applications and agents, governed through Unity Catalog.

Open Databricks in the directory

Something wrong here? Send a correction — quote this product id: databricks-genie-code.