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."The solution is stable. We've never faced any stability issues."
"The product has some seamless connectors, which are readily available."
"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."
"Making the decision to implement Fivetran was supported by the fact that they have better connectors than other competitors."
"The general data ingestion is valuable. It's used for a lot of data. It provides about 90% of the data we use in our data warehouse without needing data engineering."
"Fivetran is remarkably easy to use; I haven't encountered any other data integration tool that is as user-friendly."
"The simplicity of the solution is its valuable feature."
"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."
"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)."
"It's been able to do everything we require."
"It can scale to a great extent. It can handle the load that we are putting on it, which is about 5TBs."
"Matillion ETL is one hundred percent stable."
"The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation."
"Matillion ETL has great Git integration that is perfect and convenient to use."
"The technical support treats us well. They already have a support portal, and they are responsive, which helps."
"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."
"Fivetran would be improved by adding the ability to integrate the data from third-party APIs."
"It should have a few more monitoring functionalities."
"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 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 experience cost issues because Fivetran is charged on a usage basis. When you reach a certain level, the tool should focus on reducing the costs. The solution is expensive when you are moving gigabytes and petabytes of data. It should also focus more on REST APIs and webhooks."
"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."
"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."
"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."
"The product must enhance its near-real-time data capture feature."
"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."
"Sometimes, we have issues with the solution's stability and need to restart it for three weeks or more."
"To complete the pipeline, they might want to include some connectors which would put the data into different platforms. This would be helpful."
"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."
"While the UI is good, it could be improved in its efficiency and made easier to use."
"In the next release, we would like to have connections to more databases."
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.
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.