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Reviews onG2Capterra
194 reviews tracked

The Bottom Line

Entry price

Paid plans only

Biggest pro

Cloud data integration

Biggest con

Expensive

TL;DR - Matillion

  • Matillion is a data integration platform for cloud data warehouses
  • It provides low-code ETL with native connectors for modern data stacks
  • Custom pricing based on usage and warehouse
Pricing: Paid only
Best for: Enterprises & pros
4.3/5 across review platforms

What is Matillion?

Editorial review
Matillion transforms data in cloud data warehouses. Load and transform data with a visual interface-ELT specifically for cloud warehouses. The transformations work on warehouse data. The interface is visual. The cloud focus is specific. Data teams using cloud warehouses choose Matillion for native warehouse transformation.

Available on: Web

Pros & Cons

Pros

  • Cloud data integration
  • Good for ELT
  • Visual interface
  • Cloud-native
  • Good support

Cons

  • Expensive
  • Cloud warehouse needed
  • Learning curve
  • Per-user pricing
  • Complex pricing

Ratings Across the Web

4.3(194 reviews)

Ratings aggregated from independent review platforms. Learn more

Key Features

Data integrationETLCloud data warehouseLow-codeAutomationEnterprise

Pricing Plans

Free Trial

Developer

Custom

  • Credit-based pricing
  • Basic data integration
  • Single user

Teams

Custom

  • Collaborative features
  • Multiple users
  • Standard support

Scale

Custom

  • Enterprise features
  • Custom SSO
  • Hybrid deployment
  • Data lineage
  • Premium support

Reviews

4.3/5

Across 194 verified user reviews on Capterra, G2

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Matillion FAQ

Is Matillion free?

Matillion offers a free trial. Pricing varies by cloud provider and usage, but it's positioned as an enterprise ETL solution with corresponding pricing.

What is Matillion?

Matillion is a cloud-native ETL platform purpose-built for cloud data warehouses like Snowflake, BigQuery, and Redshift. It offers a low-code interface for building data pipelines.

Matillion vs Fivetran?

Matillion focuses more on transformations within the warehouse, while Fivetran excels at data ingestion with hundreds of connectors. Many teams use both together.

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