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."Fivetran is remarkably easy to use; I haven't encountered any other data integration tool that is as user-friendly."
"Its arrays are powerful enough to handle migrations even when the replication is happening in the background, without causing any trouble with the ongoing traffic."
"The portal is very intuitive and easy to use."
"Fivetran's most valuable feature is replication."
"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 product has some seamless connectors, which are readily available."
"Fivetran can perform data migration incredibly fast, depending on the source and target."
"Making the decision to implement Fivetran was supported by the fact that they have better connectors than other competitors."
"The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation."
"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."
"It's been able to do everything we require."
"It has good integrations with Amazon Redshift and other AWS services."
"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."
"Matillion ETL has great Git integration that is perfect and convenient to use."
"It has helped us to get onto the cloud quickly."
"We allow non-technical people to use Matillion to load data into our data warehouse for reporting. Thus, it is easy enough to use that we don't always have to get a technical person involved in setting up a data movement (ETL)."
"Fivetran is very expensive for data sources with a lot of rows, such as email data. I would like to see cheaper pricing for data sources like that."
"Some of the pain points we're looking at are trying to integrate some of the items in the Microsoft stack, so SharePoint and Excel, and then some of the newer Azure services."
"The documentation is decent, but it's hard to find information online about Fivetran. For example, if you try to search for an error code, you won't find much information about it in forums."
"The environment must be more development-friendly."
"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."
"HVR Software's technical support could be improved. Whenever we log a case, the response that we get from the support is a bit delayed."
"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."
"Fivetran should add more connectors because its competitors, like Airbyte, have more connectors."
"It can have multi-environment support. We should be able to deploy it in different environments. Its integration with SAP connection is not so nice, which should be improved. It can also support an on-prem database."
"In the next release, we would like to have connections to more databases."
"One of the features that's in development is data privacy in the cloud, along with further SAP integration. For connectivity to SAP systems."
"Unlike Snowflake which automatically takes care of upgrading to the latest version and includes additional features, with Matillion ETL we need to do this ourselves."
"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."
"When using the SQL loader type there were not a lot of pre-processing features for the data. For example, if there is a table with twenty columns, but we only want to load ten columns. In that case, we can use a security script to select the specific columns needed. However, if we want to perform extensive pre-processing of the data, I faced some challenges with Matillion ETL. I did not encounter many challenges, but my overall experience is limited as I only have three years of experience."
"Ideally, I would like it to integrate with Secrets Manager as well as the AWS."
"I am looking forward to seeing the expansion of the source range for their data loader product."
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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