Databricks Genie CodeDatabricks
|
Lakeflow DesignerDatabricks
|
|||||
Related Products
|
||||||
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
Lakeflow Designer is no-code data prep, ready for production. It helps teams prepare and transform data with AI-first authoring, directly on Databricks. Modern data teams can keep no-code data work on Databricks, preparing and transforming data in natural language without introducing new tools, rework, or governance gaps. Lakeflow Designer brings Lakeflow power with no-code simplicity, giving users the ease of visual data prep with the power, scale, and governance of the central data platform. With Genie Code, teams can generate and refine transformations with awareness of the data’s schema, lineage, and business context, improving accuracy while reducing manual effort. It provides a simple path to production by letting users prepare data directly where it lives, with transformations that can be used in production with Lakeflow Jobs without rebuilding or translating logic across tools.
|
|||||
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 teams and business users seeking to visually prepare, transform, validate, and automate governed data workflows without writing code
|
|||||
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/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationDatabricks
Founded: 2013
United States
www.databricks.com/product/genie/code
|
Company InformationDatabricks
Founded: 2013
United States
www.databricks.com/product/data-engineering/lakeflow-designer
|
|||||
AlternativesNo Alternatives
|
Alternatives |
|||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
|
|
|