Maia by Matillion

What it does

Maia takes business requests, source data from databases, applications, files and APIs, and existing pipelines, and produces reviewable data pipelines, tests, schedules and production monitoring. Its agents propose step-by-step plans that a person approves before changes are applied, and they can diagnose failed runs and suggest fixes such as updating a column reference after schema drift.

People use Maia through a chat panel and a visual canvas to build transformations, write tests against mock data in isolated schemas, and track pipeline health in Mission Control. The product's distinct element is its context layer, which stores business rules, naming conventions and standards so generated pipelines follow them, and everything runs as pushdown workloads in the customer's warehouse.

Maia suits data engineering and analytics teams in mid-to-large organisations, and the vendor offers Developer, Teams and Scale editions. Access requires a Maia account; the Developer edition offers a free trial, while paid editions use consumption-based credits and are sold by sales contact or demo. Limitations include that exact credit rates and per-plan prices are not published on the pages reviewed, and a Maia account holds only one edition at a time.

What it can do

• Build pipelines from natural-language requests with a plan you approve before changes apply
• Create reusable skills and context files that encode naming conventions and business rules
• Generate tests and run them in an isolated schema with row-count and value assertions
• Monitor pipeline runs in one view and get root-cause analysis for failures
• Create custom connectors from API documentation pages
• Automatically propose fixes and hold downstream pipelines when schema drift is detected

Works with

• Salesforce
• Kafka
• Anaplan
• Workday
• Snowflake
• Databricks
• Amazon Redshift

Before you choose

• Pricing is consumption-based in credits; check the credit usage monitor and purchase path before scaling.
• Each Maia account can hold only one active edition at a time; multiple editions need separate accounts.
• Maia automation targets repetitive engineering work, but plans should still be reviewed before changes apply.

Listed under

• Coding
• MCP and agent tools

Get started

The homepage offers a demo booking; the pricing page offers a free trial for the Developer edition.

1. Create a Maia account and choose an edition (Developer, Teams or Scale) on the pricing page.
2. Connect your data sources through the pre-built connectors or a custom connector.
3. Add context files and skills describing your naming conventions and rules before building pipelines.

Paid use is consumption-based through Maia Credits; exact credit rates are not stated on the page. Purchase is possible directly or via AWS, Azure or Snowflake marketplaces. The Developer edition has a 'Try free' route; the free trial length is not stated.

Source: maia.ai/pricing, checked 30 Oct 2026. Prices can change; check before you buy.

Sources for this overview

Product pages, documentation, and pricing checked 30 Oct 2026. Each source supports part of the overview; availability and prices can change.

• Maia - AI Data Automation Platform for Data Teams ↗www.maia.ai
• Pricing | Maia ↗www.maia.ai
• Maia Documentation - Maia Documentation ↗docs.maia.ai

Company website

maia.ai: product, pricing and policy pages

Social accounts

Accounts the company links, and its posts on X

Human review

Checked by a person

knowledge_base

manual_review

Last checked 30 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.