Easy to Implement in a large company
April 23, 2019

Easy to Implement in a large company

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Matillion

Our company utilizes Matillion to create materialized tables and views alongside data in Snowflake. It is used across multiple departments in our business, but our plan is for it to be used in every department in the future. It addressed the problem of recreating views and tables from our source system.

Pros

  • Creating views and materialized tables.
  • Offering a user-friendly drag and drop interface.
  • Connects to Snowflake with ease.

Cons

  • Matillion crashes occasionally.
  • Matillion will disconnect to the server mid-use.
  • Matillion will crash when moving from different environments.
  • Matillion is relatively cheap to use.
  • Matillion is scalable, so you pay for what you use or run.
  • It has created dependable tables and views for our business to report from.
It is very user-friendly and easy to adopt.
We were able to use and create transformation processes in our DEV environment fully within two weeks. 2 months later we were up and running providing real data to customers.
This product can be scaled for a large or small company. It has a lot of computing power and you really only pay for what you use aside from a monthly fee.
This works separate from CodePipeline but definitely runs faster when doing data ingestion. We have our Matillion set on a schedule and it has been working successfully alongside the Pipeline.
Matillion is an ETL Tool. It works well with Snowflake and organizing data and tables. It works well for visual learners and those who use workflows. It is not appropriate for smaller scale customers as it makes managing and handling large quantities of data easier.

Matillion Feature Ratings

Connect to traditional data sources
8
Connecto to Big Data and NoSQL
10
Simple transformations
9
Complex transformations
6
Data model creation
8
Metadata management
8
Business rules and workflow
9
Collaboration
8
Testing and debugging
7
Integration with data quality tools
8
Integration with MDM tools
7

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