We performed a comparison between FME and Matillion ETL based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It has standard plug-ins available for different data sources."
"The most valuable feature of FME is the graphical user interface. There is nothing better. It is very easy to debug because you can see all steps where there are failures. Overall the software is easy to optimize a process."
"All spatial features are unrivaled, and the possibility to execute them based on a scheduled trigger, manual, e-mail, Websocket, tweet, file/directory change or virtually any trigger is most valuable."
"We make minor subtle changes to the workbenches to improve it. We can share the workbenches. We don't have to use GitHub or anything else."
"It has a very friendly user interface. You don't need to use a lot of code. For us that's the most important aspect about it. Also, it has a lot of connectors and few forms. It has a strong facial aspect. It can do a lot of facial analysis."
"It's been able to do everything we require."
"It has good integrations with Amazon Redshift and other AWS services."
"It takes less than five minutes to set up and delivers results. It is much quicker than traditional ETL technologies."
"The product has a good user interface."
"It has helped us to get onto the cloud quickly."
"The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand."
"It is an incredibly user-friendly and intuitive tool, making the learning curve quite smooth"
"The most valuable feature of Matillion ETL is its ease of use. If you have had some experience with other solutions, such as Snowflake, the use of this solution will be simple."
"To get a higher rating, it would have to improve the price and the associated scalability. These are the main issues."
"Improvements could be made to mapping presentations."
"The one thing that always appears in the community is the ability to make really easy loops to loop through data efficiently. That needs to be added at some point."
"FME's price needs improvement for the African market."
"FME can improve the geographical transformation. I've had some problems with the geographical transformations, but it's probably mostly because I'm not the most skilled geographer in-house. The solution requires some in-depth knowledge to perform some functions."
"The product must enhance its near-real-time data capture feature."
"The cost of the solution is high and could be reduced."
"I am looking forward to seeing the expansion of the source range for their data loader product."
"To complete the pipeline, they might want to include some connectors which would put the data into different platforms. This would be helpful."
"Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes simultaneously at the entry level."
"There are certain functions that are available in other ETL tools which are still not present in Matillion ETL. It would be good to have more features."
"In the next release, we would like to have connections to more databases."
"I found some of the more complex aspects of ETL challenging, but I grasped the concepts fairly quickly."
FME is ranked 24th in Data Integration with 5 reviews while Matillion ETL is ranked 4th in Cloud Data Integration with 24 reviews. FME is rated 8.6, while Matillion ETL is rated 8.6. The top reviewer of FME writes "Great for handling large volumes of data, but it is priced a bit high". On the other hand, the top reviewer of Matillion ETL writes "Efficient data integration and transformation with seamless cloud-native integration". FME is most compared with Alteryx Designer, Azure Data Factory, Talend Open Studio, SSIS and AWS Glue, whereas Matillion ETL is most compared with Snowflake, Azure Data Factory, AWS Glue, SSIS and AWS Database Migration Service. See our FME vs. Matillion ETL report.
See our list of best Cloud Data Integration vendors.
We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.