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."The most valuable feature of Informatica Cloud Data Integration is Pushback. You are able to push the data to the solution itself, and it can handle the queries. It helps us a lot. With other tools, the burden is kept on the server."
"Informatica Cloud Data Integration is stable."
"The solution's initial setup is quite straightforward."
"It has all the advantages of the Cloud in that you can use it without worrying about infrastructure, upkeep, or upgrades."
"Informatica is good for integrating data and cloud applications. We have connectors for integrating cloud applications like Salesforce. You can quickly integrate anything with an exposed API or a REST API. The industry is increasingly shifting to the cloud, so we need more products that can connect to cloud-based applications. The integration is seamless and works in real time. It's also secure because you don't need to expose databases or tables."
"I do a quite a lot of data transformations, and the fact that I can do them without changing any of my SQL queries from the code, using the inbuilt tools, is very helpful."
"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 most valuable feature is the building of mockups and tasks."
"The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand."
"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 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."
"It's highly scalable. It takes upon itself the Redshift scalability, so it's very good."
"The product has a good user interface."
"It has helped us to get onto the cloud quickly."
"The most valuable feature of Matillion ETL is its user-friendly graphical interface."
"The loading of data is the most valuable feature of Matillion ETL."
"The error information provided is not informative, as compared to Power Center."
"I would like to see support for more data sources."
"I would like to see more functionality added so that it is a bit closer to how much you can do with Informatica PowerCenter."
"The price modeling could be more flexible."
"It could be improved by including a buffer that saves data when there is a connectivity issue."
"Cost-wise, it could be better."
"The biggest challenge I see is the IDE's for the cloud and automization are different."
"A general improvement in icons and the virtual interface would be good."
"Performance can be improved for efficiency, and it can be made faster."
"Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes simultaneously at the entry level."
"In the next release, we would like to have connections to more databases."
"To complete the pipeline, they might want to include some connectors which would put the data into different platforms. This would be helpful."
"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."
"Matillion’s on-premises capabilities don’t allow you to build something customized."
"It needs integration with more data sources."
"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, Informatica PowerCenter and IBM InfoSphere DataStage. See our Informatica Cloud Data Integration vs. Matillion ETL report.
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