Maia for

Databricks

Get more out of Delta Lake without growing the data engineering team. Maia automates the pipeline work that fills your lakehouse with usable data, so analysts and ML teams can move faster.

Try Maia for Databricks

Get the most out of your Delta Lake lakehouse with Maia Foundation

Delta Lake on Databricks gives you one place for structured and semi-structured data, with the reliability of ACID transactions and the openness of an open format. Maia automates the work of getting data in and shaping it into something usable, so your team isn't stuck hand-coding pipelines into the lakehouse.

Simplify your path to data productivity

Deploy Maia in minutes through Databricks Partner Connect. Build pipelines without code, run them inside your Databricks workspace, and skip the procurement cycle. No new contracts. No onboarding delays.

Why choose Maia on Databricks

Native to Databricks

Maia runs inside your Databricks workspace. Your data never leaves the perimeter.

Deploy in minutes

Launch from Databricks Partner Connect. No infrastructure to set up, no procurement cycle to start.

Use your Databricks commit

Maia consumption draws against your existing Databricks spend. Predictable, no separate billing.

Built for enterprise

SOC 2, RBAC, and lineage on every deployment. Plus expert support when you need it.

Book a demo

Optimized for Delta Lake on Databricks

Uses Delta Lake features including ACID transactions, Unity Catalog, Delta Live Tables, Notebook Orchestration, and Time Travel
Set guardrails for no-code data jobs with reusable components and parameterized templates

Transform data into something teams can use

Run transformations that prep data for analytics, machine learning, and data intelligence work
Get data into the hands of analysts for BI, reporting, and visualization without a ticket queue

Build collaboration and data literacy

Create datasets analysts can share across overlapping use cases
Bridge visual business logic and the underlying SQL or Spark transformations with a graphical UI

“Maia is helping us become an AI-ready organization by transforming how we build pipelines. In some cases we’ve seen pipeline build time go from 2 days to 10 minutes.”

John Tentomas

CEO Nature’s Touch

Hand holding a wooden crate filled with freshly picked blueberries and green leaves.

Sridhar Ramaswamy

CEO at Snowflake

“Maia offers a glimpse into the future of data engineering. It’s intuitive, powerful, and feels like a real accelerant for how teams build with data.”

"The big productivity numbers you hear about AI can actually be real."

Kelly Maggs

Director for Data Architecture Platform and Engineering @ St James’s Place

"Maia feels like having a team of junior data engineers who never sleep. We’re a small team, but with Maia we’re punching well above our weight."

Dan Adams

Global Analytics Manager @ Edmund Optics

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Get the most out of your cloud investment with Maia for Databricks

Built for Delta Lake on Databricks

Integrates with Delta Lake using platform-specific features and best practices.
Opens the lakehouse to more of your team with no-code pipeline building.

Built for the cloud

Works with your existing cloud infrastructure.
Compute scales when you need it, idle when you don't.
Processing happens where your data already lives.

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For Data Engineers

Get Snowflake data business-ready faster

Connect to any source
Spend less time maintaining brittle code
Build ELT pipelines without hand-coding every step
Get hours back for the work that actually matters
Use Databricks features that Maia integrates with directly

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For Data Architects

Modernize your data platform

Manage batch and CDC in one place
Simplify the stack you have to support
Use Databricks’ scalability and performance instead of working around it
Move, transform, and orchestrate data without bottlenecks

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For Data Analysts

Get to insights faster

Self-service data loading from any source
Stop waiting for engineering to wrangle data for you
Get to a usable answer in hours, not weeks

Join a live
demo with Q&A

See how Maia connects all your data sources to Snowflake and runs the transformations that get business teams to insights faster.

Your data integration journey to the cloud starts with Maia and Delta Lake on Databricks

Delta Lake on Databricks combines what data lakes and data warehouses each do well. You get the reliability and governance of a warehouse plus the openness and ML support of a lake. Maia handles the part that's still painful: loading your data into Delta Lake and transforming it into something your notebooks and BI tools can actually use.

Universal connectivity

Connect to almost any data source and load it into Databricks. Use Maia's pre-built connectors for popular apps and databases, grab connectors built by the community, or build your own custom connector in minutes.