Matillion brings the power of data to the people!
April 18, 2019

Matillion brings the power of data to the people!

Chris Miller | TrustRadius Reviewer
Score 10 out of 10
Vetted Review

Overall Satisfaction with Matillion

We use Matillion to consume our SaaS data organization-wide. From this data, we build dashboards to operate the business including finance, employee productivity, and sales. By leveraging our data sources in real time, it allows us to make better data-driven decisions, and prevent operating by the seat of our pants.

Pros

  • Connect to third-party data sources using a generic API interface
  • Wide support for a number of databases and data platforms
  • Pay as you go model brings extreme power in a cost-effective package

Cons

  • Oauth2 support for refresh tokens needs some work
  • Matillion provides immediate ROI due to its powerful interface and pay by the hour model.
The user interface is well laid out despite the complex workflows and underlying power of the tool. As an EC2 instance, it's extensible by allowing you to log in to the instance and add functionality by using Python. Multiple users can collaborate and/or work in their own spaces, allowing the entire team to get involved.
We were up and running in a number of days. Matillion provided great onboarding, training, and online resources to get started.
So far we haven't run into any scaling issues.
Matillion simply does more, supports more third-party connection options, and doesn't financially cripple you with antiquated licensing models.
Aside from a lot of great integrations already built in, Matillion is well suited to connect to any data source with an API. This allows us to move beyond the applications which enjoy mass adoption and to pull data in from edge case sources. This improves our ability to work with a wider number of customers to help solve their unique problems.

Matillion Feature Ratings

Connect to traditional data sources
10
Connecto to Big Data and NoSQL
10
Simple transformations
10
Complex transformations
10
Data model creation
10
Metadata management
10
Business rules and workflow
10
Collaboration
10
Testing and debugging
10
Integration with data quality tools
10
Integration with MDM tools
10

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