We performed a comparison between Matillion ETL and WhereScape RED 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 new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand."
"It's highly scalable. It takes upon itself the Redshift scalability, so it's very good."
"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."
"Matillion ETL has great Git integration that is perfect and convenient to use."
"The tool's middle-dimensional structure significantly simplifies obtaining the right data at the appropriate level. This feature makes deploying our applications easier since we utilize a single source without publishing data from various sources."
"It can scale to a great extent. It can handle the load that we are putting on it, which is about 5TBs."
"The most valuable feature of Matillion ETL is its user-friendly graphical interface."
"Their support staff are very knowledgeable, courteous, and professional. I feel their support staff go above and beyond to assure their customers are satisfied."
"The most valuable feature is the metadata generated code."
"Naturally produces a way to easily debug your DW data solutions."
"Quickly develops a data warehouse for our organization with documentation and can track back/forward features."
"RED has provided us the ability to integrate, stage, and transform data from diverse sources into an enterprise-grade data warehouse which meets the needs of my organization, but it also enables us to easily and quickly make ETL or DW changes."
"It has a built-in automatic scheduling environment."
"Support is absolutely excellent, efficient, and timely."
"I like the data vault implementations."
"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."
"Matillion’s on-premises capabilities don’t allow you to build something customized."
"While the UI is good, it could be improved in its efficiency and made easier to use."
"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."
"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."
"I found some of the more complex aspects of ETL challenging, but I grasped the concepts fairly quickly."
"The current version is a bit more limited because it's on a virtual machine, and everything executes on that one virtual machine."
"Sometimes, we have issues with the solution's stability and need to restart it for three weeks or more."
"They need a more robust support center. It has been a bit difficult to find solutions to problems that are out-of-the-box."
"Project-based searching of data objects in the data warehouse browser needs to be improved."
"Jobs cannot be deleted via the deployment package. When deploying from dev to QA or production, a job has to be retired. The job has to be manually removed from the target environment."
"Customization could be better."
"It could use a tool to diagnose what is missing from the environment for WhereScape to install successfully."
"The solution can be a little more user-friendly on enterprise-level where people use it."
"Technical support isn't the best."
"No support for change data capture or delta detection - that must be custom coded ."
Earn 20 points
Matillion ETL is ranked 4th in Cloud Data Integration with 24 reviews while WhereScape RED is ranked 48th in Data Integration. Matillion ETL is rated 8.6, while WhereScape RED is rated 8.2. The top reviewer of Matillion ETL writes "Efficient data integration and transformation with seamless cloud-native integration". On the other hand, the top reviewer of WhereScape RED writes "Quick to set up, flexible, and stable". Matillion ETL is most compared with Snowflake, Azure Data Factory, AWS Glue, Informatica PowerCenter and SSIS, whereas WhereScape RED is most compared with Azure Data Factory, SSIS, Informatica PowerCenter, Denodo and Talend Open Studio. See our Matillion ETL vs. WhereScape RED report.
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