How Matillion makes data prep accessible to everyone
Free up your data team’s time by enabling data analysts with governed, automated data pipelines for use in core business use cases.
Provide low-code tools
Data analysts can load data with pre-built connectors to source systems, transform without code using AI Copilot, and design pipelines in an entirely visual interface.
Make pipelines manageable
Create templates and schemas for data loading and transformation that allow others in your analytics team to self-serve while you maintain governance.
Simplify data connection
Connect to virtually any source with over 900 pre-built and custom connector options.
Build low-code custom connectors
Use a simple wizard to quickly build custom connectors to any data source using a low-code visual Designer.
Track and manage data pipelines
Get visibility into all your data pipelines in Matillion’s unified platform, with one place for tracking work, better observability, and easier troubleshooting.
Use AI for data pipeline creation
Set the foundation for automating business workflows with AI. Transform your data so it’s AI-ready and gather insights from unstructured data. Integrate Large Language Models (LLMs) into data pipelines and data without code.
Explore Matillion’s features for self-service business intelligence
Featured resources
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Human in the Loop in Data Engineering
Data pipelines are the backbone of modern analytics, but they're also notoriously fragile. The most resilient pipelines combine the power of automation with strategic human oversight, a concept known as Human in the Loop (HITL).
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How Matillion is Leading the AI Revolution in Enterprise Data Integration
The AI revolution demands new data integration approaches. Discover how Matillion's Data Productivity Cloud and Maia transform legacy systems for AI workloads while reducing costs and accelerating pipelines.
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AI for ERP: Preparing Enterprise Data for Intelligent Decision-Making
The challenge isn't just about implementing AI; it's about creating the data foundation that makes ERP AI initiatives successful.