Lakeflow Designer

Lakeflow Designer

Databricks
+
+

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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.

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

Business analysts in governed data environments who need to prepare, transform, and automate data workflows without writing code

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/data-engineering/lakeflow-designer

Company Information

nao
United States
getnao.io

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Mitzu

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Astrato

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Categories

Categories

Integrations

Databricks
Airbyte
Amazon Bedrock
Amazon Redshift
DuckDB
Gemini
GitHub
Google Cloud BigQuery
Metabase
MotherDuck
Notion
Obsidian
Omni
OpenAI
PostgreSQL
SQL
Slack
Snowflake
Tableau
dbt

Integrations

Databricks
Airbyte
Amazon Bedrock
Amazon Redshift
DuckDB
Gemini
GitHub
Google Cloud BigQuery
Metabase
MotherDuck
Notion
Obsidian
Omni
OpenAI
PostgreSQL
SQL
Slack
Snowflake
Tableau
dbt
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