Matillion review
June 09, 2022

Matillion review

Sonali Aggarwal | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Matillion

I have used Matillion in various projects in my company for different pharma clients for Life Sciences data. We were building solutions for clients which can help the analytic users and other down streams to consume data as per their requirements. In other Healthcare Analytics Projects, we were extracting the data from different sources like Facebook and Google Analytics and building a repository using Matillion ETL. Matillion was user-friendly and easy to learn and easily integrated with AWS Redshift and Snowflake DBs.
  • Easy integration with AWS Redshift and Snowflake.
  • Pay for what you use.
  • Ease of service.
  • Constant Java heap space errors because of hard limits on EC2 instance hosting.
  • It is expensive considering the infrastructure cost is added to Redshift costs.
  • Matillion does not scale well. It has a hard limit on the hardware / EC2 instances it can use.

Do you think Matillion delivers good value for the price?

Yes

Are you happy with Matillion's feature set?

Yes

Did Matillion live up to sales and marketing promises?

Yes

Did implementation of Matillion go as expected?

Yes

Would you buy Matillion again?

Yes

  • Positive impact on learning for freshers because of simple infra
  • Easy to learn ETL tool
  • Easily integrated with AWS
In ETL processes,most of the basic transformation and orchestration components are used and it very easy to learn
Very quickly, I was a fresher and was very easily able to learn
Matillion does not scale well. It has a hard limit on the hardware / EC2 instances it can use
Ease of use and its features,easy integration with AWS
It is very well suited for beginners as it is easy to learn and work upon. It is also easily integratable with AWS; however, if you have cost constraints it may seem a challenge.

Matillion Feature Ratings

Connect to traditional data sources
8
Connecto to Big Data and NoSQL
6
Simple transformations
8
Complex transformations
6
Business rules and workflow
7
Collaboration
7
Testing and debugging
8