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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

nao is an AI-powered data IDE designed specifically for data teams, combining a code editor with native integration to your data warehouse so you can write, test, and maintain data-centric code with full context. It supports warehouses such as Postgres, Snowflake, BigQuery, Databricks, DuckDB, Motherduck, Athena, and Redshift. Once connected, nao replaces a traditional data-warehouse console by offering schema-aware SQL auto-completion, data previews, SQL worksheets, and the ability to switch easily between multiple warehouses. The core of nao is its AI agent, which has full awareness of your actual data schema, tables, columns, metadata, and your codebase or data-stack context. It can generate SQL queries or full data-transformation models (e.g., for dbt workflows), refactor code, add or update documentation, run data-quality checks and data-diff tests, and even surface insights or run exploratory analytics, all while respecting data structure and quality constraints.

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

Data engineers, analytics engineers, data scientists and analytics-focused developers in need of a solution to build, maintain and analyze data pipelines and warehouses quickly

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

$30 per month
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

nao
United States
getnao.io

Alternatives

No Alternatives

Alternatives

Compass

Compass

Dagster Labs
Mitzu

Mitzu

Mitzu.io
Astrato

Astrato

Astrato Analytics

Categories

Categories

Integrations

Databricks
SQL
Airbyte
Amazon Athena
Amazon Bedrock
Amazon Redshift
Claude
DuckDB
Elementary
Gemini
GitHub
Google Cloud BigQuery
MotherDuck
Notion
Obsidian
Omni
OpenAI
PostgreSQL
Tableau
dbt

Integrations

Databricks
SQL
Airbyte
Amazon Athena
Amazon Bedrock
Amazon Redshift
Claude
DuckDB
Elementary
Gemini
GitHub
Google Cloud BigQuery
MotherDuck
Notion
Obsidian
Omni
OpenAI
PostgreSQL
Tableau
dbt
Claim Databricks Genie Code and update features and information
Claim Databricks Genie Code and update features and information
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