Maia for

AWS, Azure, and Google Cloud

Support analytics and AI workloads across modern cloud environments with Maia. Maia reduces the data work required to accelerate data outcomes across AWS, Microsoft Azure, and Google Cloud — giving teams more flexibility in how they build and scale.

Try Maia on your cloud

Get the most out of your cloud investment with Maia

Cloud strategies evolve over time. Maia helps organizations support analytics and AI workloads across AWS, Microsoft Azure, and Google Cloud without constraining teams to a single cloud ecosystem. Reduce the data work required to manage and deliver data across modern cloud environments.

Simplify adoption

Deploy Maia through AWS Marketplace or Microsoft Azure Marketplace and align adoption to your existing cloud strategy. Simplified procurement and faster onboarding help teams move from deployment to production more quickly. Support for Google BigQuery and Google Cloud Marketplace is coming later this year.

Why data teams choose Maia

Support your cloud strategy

Support analytics and AI workloads across AWS, Microsoft Azure, and Google Cloud without constraining teams to a single cloud ecosystem.

Enterprise-ready

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

Flexible deployment

Deploy Maia in the cloud environment that best fits your operational and business requirements.

Simplify adoption

Available through AWS Marketplace and Microsoft Azure Marketplace, with support for Google BigQuery and Google Cloud Marketplace coming later this year.

Book a demo

Optimize platform performance

Integrates with leading cloud data, storage, orchestration, and monitoring services
Uses provider-native identity, governance, and observability capabilities
Automates ingestion, transformation, orchestration, and monitoring workflows

Support analytics and AI workloads

Prepare data for analytics, machine learning, and generative AI initiatives
Reduce the operational overhead associated with delivering trusted data across teams

Simplify data operations

Centralize ingestion, transformation, orchestration, and monitoring
Reduce reliance on fragmented tooling and scripts

“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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Maia across cloud platforms at a glance

Support analytics and AI workloads across AWS, Microsoft Azure, and Google Cloud
Reduce the data work required to manage and deliver data across cloud environments
Integrate with cloud-native data, storage, orchestration, and monitoring services

Automate ingestion, transformation, orchestration, and monitoring workflows

Align Maia adoption to existing cloud strategies and investments

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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 cloud environments
Focus engineering time on higher-value data initiatives
Use the cloud services Maia integrates with directly

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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
Support analytics and AI workloads across cloud platforms
Scale without adding fragmented tooling and manual processes

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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 cloud environments
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 AWS, Azure, or Google Cloud and runs the transformations that get business teams to insights faster.

Support analytics and AI initiatives across cloud environments

Cloud strategies evolve over time. Maia gives organizations the flexibility to support analytics and AI workloads across AWS, Microsoft Azure, and Google Cloud without adding operational complexity or constraining teams to a single ecosystem.

Universal connectivity

Connect data across cloud environments, applications, databases, files, APIs, and storage services using Maia’s library of pre-built connectors. Extend existing connectors or build custom integrations to support your organization’s analytics and AI initiatives.