We performed a comparison between Fivetran 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."You can manage all of your connectors individually, which gives you a very good ability to trace which one of your ETL processes is running and when."
"The simplicity of the solution is its valuable feature."
"It is not like a traditional ETL, but it gives quite a lot of flexibility."
"The most important feature of the solution is its ability to build data pipelines in less time."
"The most valuable feature of Fivetran is that it only synchronizes what needs to be synchronized."
"Making the decision to implement Fivetran was supported by the fact that they have better connectors than other competitors."
"The portal is very intuitive and easy to use."
"Fivetran can perform data migration incredibly fast, depending on the source and target."
"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."
"The most valuable feature of Matillion ETL is the ETL. The solution is open-source which provides advantages, such as good performance and high efficiency. Additionally, it supports three data types which eliminates predefining the data, and we can write script models in Python."
"It is an incredibly user-friendly and intuitive tool, making the learning curve quite smooth"
"The technical support treats us well. They already have a support portal, and they are responsive, which helps."
"It has helped us to get onto the cloud quickly."
"The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation."
"It's highly scalable. It takes upon itself the Redshift scalability, so it's very good."
"It is pretty user-friendly, even for people who aren't super technical."
"The solution is very expensive. I would like to have a better integration of the solution with Azure."
"The customization could improve because Fivetran gives more thought to people who don't want to manage analytics workflows rather than engineers who want to be able to customize pipelines more thoroughly."
"I would like for them to incorporate additional transformations. A valuable aspect of the product is that it does inflight transformations and that could be expanded."
"The connections with SAP must be improved."
"There was a random change to our contract in a unilateral manner after the first year. The overall cost of using Fivetran was then unclear and this is the reason I would not recommend this solution."
"More connectors are needed for exotic, popular, and rising star portals."
"The documentation can be laid out better to make it easier to find things, and I really wish there was built-in support for changing passwords. Some features don't work as advertised for the platform/repository database, and HVR is not always the fastest at getting results."
"We use a separate tool for "reverse ETL", which is the opposite of what Fivetran does; it pushes data from your data warehouse back out to business applications. If Fivetran pulls data from those same applications, they should also enable users to push it back. I would love to do both ETL and reverse ETL in the same tool."
"To complete the pipeline, they might want to include some connectors which would put the data into different platforms. This would be helpful."
"I am looking forward to seeing the expansion of the source range for their data loader product."
"The product must enhance its near-real-time data capture feature."
"Matillion’s on-premises capabilities don’t allow you to build something customized."
"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."
"Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes simultaneously at the entry level."
"The improvement area could be possible if the tool provides better integration capabilities with other ecosystems, including governance tools or data cataloging tools, as it is currently an area where the solution is lacking."
Fivetran is ranked 7th in Cloud Data Integration with 19 reviews while Matillion ETL is ranked 4th in Cloud Data Integration with 24 reviews. Fivetran is rated 8.0, while Matillion ETL is rated 8.6. The top reviewer of Fivetran writes "Solution reduces time-to-value; high ROI". On the other hand, the top reviewer of Matillion ETL writes "Efficient data integration and transformation with seamless cloud-native integration". Fivetran is most compared with AWS Database Migration Service, Qlik Replicate, Azure Data Factory, Oracle GoldenGate and AWS Glue, whereas Matillion ETL is most compared with Snowflake, Azure Data Factory, AWS Glue, Informatica PowerCenter and Oracle GoldenGate. See our Fivetran vs. Matillion ETL report.
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