We performed a comparison between Informatica Cloud Data Integration 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."We have a lot of integrations, and it's very easy to create integrations. They have a lot of connectors."
"Data integration is the most valuable feature. The ability to connect to any of the sources and enterprise applications makes our lives easier."
"Their new licensing is very flexible. With Informatica Cloud, you have plenty of items under the same umbrella, such as services, offerings, data quality, and data masking. You have also got master data management and API management. What I really like about them is that you don't need to go to Informatica and say that you need a data integration module. You would say that you need iPaaS or Informatica Cloud. They'll then try to understand your needs and give you IPUs, which are the processing units. If I purchased a hundred IPUs from Informatica as a customer, I can use 70 IPUs for data integration. I would also need data quality, so I can use 10 IPUs for data quality. I can use the remaining 20 IPUs for API management. Down the line, if I see that my initial data integration needs for the development phase are met, then out of the 70 IPUs assigned for data integration, I can use 30 IPUs for data masking. I can shuffle these numbers in any way within the Informatica Cloud umbrella for the tenure for which I have subscribed to these IPUs. I can use all services the way I want. This flexibility is what I really love about Informatica. It also has got good connectors."
"The mass ingestion functionality and the elasticity of the solution are great."
"It has all the advantages of the Cloud in that you can use it without worrying about infrastructure, upkeep, or upgrades."
"Whether we need data cleansing or data mastering, we get it all in one platform."
"It has a more UI-based tool, and the scripting is good."
"Informatica Cloud Data Integration is stable."
"Matillion ETL helps manage data movement, ingestion, and transformation through pipelines."
"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."
"The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand."
"The loading of data is the most valuable feature of Matillion ETL."
"It's been able to do everything we require."
"Matillion ETL has great Git integration that is perfect and convenient to use."
"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 is one hundred percent stable."
"While my company operates on the cloud, we have seen that Informatica Cloud Data Integration has some performance issues causing it to lag."
"Its pricing model can be improved. The response time from technical support can also be improved."
"We would like to have accessibility to the repository."
"The cloud version could be better in terms of pricing."
"There may be some types of limitations with the performance."
"One area where Informatica Cloud Data Integration could improve is in providing more accelerators for certain functionalities."
"I would also like to have profiling functionalities and quality transformations in the cloud."
"Certain applications are not being synced with the ION."
"Performance can be improved for efficiency, and it can be made faster."
"The cost of the solution is high and could be reduced."
"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."
"It needs integration with more data sources."
"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."
"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."
"Matillion’s on-premises capabilities don’t allow you to build something customized."
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Informatica Cloud Data Integration is ranked 5th in Cloud Data Integration with 40 reviews while Matillion ETL is ranked 4th in Cloud Data Integration with 24 reviews. Informatica Cloud Data Integration is rated 7.8, while Matillion ETL is rated 8.6. The top reviewer of Informatica Cloud Data Integration writes "A stable, scalable, and user-friendly solution". On the other hand, the top reviewer of Matillion ETL writes "Efficient data integration and transformation with seamless cloud-native integration". Informatica Cloud Data Integration is most compared with Informatica PowerCenter, Azure Data Factory, AWS Glue, Fivetran and SSIS, whereas Matillion ETL is most compared with Snowflake, Azure Data Factory, AWS Glue, Informatica PowerCenter and IBM InfoSphere DataStage. See our Informatica Cloud Data Integration vs. Matillion ETL report.
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