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."REST API: Excellent for scripting control and reporting mechanisms"
"The user interface which is very easy to use if we have any problems to solve."
"The most valuable features of the solution are pushdown, optimization, and partitioning, which can be used for frequent data loading, especially when we have a huge data volume in our company."
"The Mapping Configuration and PowerCenter wizards are valuable. We use them to run our business logic."
"The serverless capability and the packaging application of the solution are valuable."
"The Mapping Designer allows for declarative ETL development (visual scripting) that leverages a wide array of different transformations."
"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."
"Data synchronization tasks."
"It's been able to do everything we require."
"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 product's initial setup phase was easy."
"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 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."
"The most valuable feature of Matillion ETL is its user-friendly graphical interface."
"Matillion ETL is one hundred percent stable."
"One area that needs to improve is the user experience because it is very complex. The trial version is very complex so it's not easy to start using the program immediately. You must study the rules first."
"It needs to be a little more intuitive but it’s really not bad."
"We would like to have accessibility to the repository."
"The main issue preventing Brazilian companies from migrating to Informatica Cloud Data Integration from on-prem is the price."
"Certain applications are not being synced with the ION."
"There may be some types of limitations with the performance."
"Performance also needs to be significantly improved, especially when connecting to SFDC for read and write operations."
"Cost-wise, it could be better."
"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."
"I am looking forward to seeing the expansion of the source range for their data loader product."
"One of the features that's in development is data privacy in the cloud, along with further SAP integration. For connectivity to SAP systems."
"The tool's lineage is very weak."
"It needs integration with more data sources."
"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."
"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."
"Going forward, I would like them to add custom jobs, since we still have to run these outside of Matillion."
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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, SSIS and IBM InfoSphere DataStage. See our Informatica Cloud Data Integration vs. Matillion ETL report.
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