Maia for

Amazon Redshift

Get more from Amazon Redshift without expanding your data engineering team. Maia reduces the data work required to support analytics, AI, and generative AI workloads across your AWS environment.

Try Maia for Redshift

Get the most out of your Amazon Redshift cloud data platform with Maia Foundation

Amazon Redshift delivers scalable analytics across data warehouses, data lakes, and Amazon S3. Maia Foundation extends that environment by automating data operations across Redshift and the broader AWS ecosystem, reducing the operational burden associated with managing modern analytics and AI workloads.

Simplify adoption

Deploy Maia Foundation through AWS Marketplace and apply up to 25% of your AWS Private Pricing Agreement (PPA) toward Matillion. Simplified procurement and faster onboarding help teams move from deployment to production more quickly.

Why data teams choose Maia on Redshift

Built for AWS

Runs inside your AWS environment with support for AWS-native architecture, governance, and security controls.

Enterprise-ready

SOC 2, RBAC, lineage, and enterprise-grade support for production workloads.

Flexible deployment

Deploy Maia Foundation in the AWS environment that best fits your operational requirements.

Support analytics and AI workloads

Reduce repetitive data work across Redshift, S3, and AI services such as Amazon Bedrock.

Book a demo

Optimized for Amazon Redshift

Uses Redshift capabilities including pushdown processing, massively parallel processing (MPP), Redshift Spectrum, and external schemas
Integrates with AWS services including Amazon S3, SNS, and SQS
Establish guardrails for data operations using reusable components and parameterized templates

Support analytics and AI workloads

Prepare data for analytics, machine learning, and generative AI workloads on AWS
Reduce the operational burden associated with delivering trusted data across teams

Improve collaboration and data access

Create reusable datasets that support multiple analytics and AI use cases
Connect visual workflows to underlying SQL transformations for greater visibility and governance

“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 Amazon Redshift

Built for Amazon Redshift

Runs inside your AWS environment with support for AWS-native architecture and governance
Uses Redshift-native capabilities and AWS best practices

Built for your stack

Integrates with services including Amazon S3, SNS, SQS, and Amazon Bedrock
Automates ingestion, transformation, orchestration, and monitoring workflows
Reduces repetitive data work across analytics and AI initiatives

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For Data Engineers

Reduce repetitive data work and accelerate delivery.

Connect and integrate data from virtually any source
Spend less time maintaining brittle workflows and scripts
Automate ingestion, transformation, and orchestration across Redshift and AWS services
Focus engineering time on higher-value data initiatives
Use Redshift-native capabilities directly within Maia Foundation

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For Data Architects

Simplify and modernize data operations.

Manage batch and CDC workflows in a unified environment
Reduce operational complexity across the data stack
Align data operations to AWS-native architecture and governance
Scale analytics and AI workloads without adding fragmented tooling

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For Data Analysts

Access trusted data faster.

Reduce delays between data requests and business insights
Work from governed datasets delivered across Redshift and AWS services
Spend less time waiting on manual data preparation
Support analytics and AI initiatives with more reliable data delivery

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.

Universal connectivity

Connect data from virtually any source into Amazon Redshift using Maia Foundation’s library of pre-built connectors for cloud apps, databases, files, APIs, and AWS services. Extend existing connectors or build custom integrations to support your organization’s data workflows.