We performed a comparison between Informatica Cloud Data Integration and Talend Data Fabric based on real PeerSpot user reviews.
Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration."I like the fact that you can find almost any product connection that you need and the list is always expanding."
"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."
"The Mapping Designer allows for declarative ETL development (visual scripting) that leverages a wide array of different transformations."
"It has become an easy way to exchange information through any cloud application."
"We have a lot of integrations, and it's very easy to create integrations. They have a lot of connectors."
"Informatica Cloud Data Integration is stable."
"The solution is straightforward."
"The program is stable and scalable."
"We've had no issues with the stability so far."
"The initial setup is very easy."
"It is a smart tool for us to design data pipelines. It lets us populate our three data lake instances. We like this solution for its connection capabilities, since it is very important to be able to use many different types of software. We tested a lot of SAP sources successfully, including cloud sources with SAP. It is also very easy to anonymize data with TIBCO, as well as populating HDFS files, packet files, and raw files. It is very easy to do that with Talend Data Fabric."
"The Talend data integration has been one of the most valuable features."
"A general improvement in icons and the virtual interface would be good."
"It would be helpful if there was a GenAI feature integrated into the system, especially regarding the data quality."
"Cost-wise, it could be better."
"The error information provided is not informative, as compared to Power Center."
"I have received feedback from certain teams and there is a steep learning curve to use this solution."
"There may be some types of limitations with the performance."
"There is room for improvement at the highest level in terms of useability and connectors for various types of new applications. The row processing performance could be better because you experience some latency dealing with high volumes of data. Most organizations will be dealing with multiple cloud applications, so you could see performance issues moving from one system to another."
"Error reporting and debugging need improvement."
"Deployment can be difficult, but I didn't test the latest version yet. With Talend products, every release brings a lot of new features and functionalities. This is never a small adaptation, because the tool is maturing, but we need to test the latest version and to check its deployment capabilities."
"We encounter issues getting email notifications. They should provide enough information about the configuration process for email components."
"We are currently using version 7.3.1, but preferred the version before. The problem that we currently have is that Talend are releasing patches for Talend Studio every quarter. Our technical team has to be on top of these patches and constantly ensure everything is updated."
"I would like to see better integration with other tools."
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Informatica Cloud Data Integration is ranked 5th in Cloud Data Integration with 40 reviews while Talend Data Fabric is ranked 26th in Data Integration with 4 reviews. Informatica Cloud Data Integration is rated 7.8, while Talend Data Fabric 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 Talend Data Fabric writes "Smart tool to design data pipelines that has good connection capabilities ". Informatica Cloud Data Integration is most compared with Informatica PowerCenter, Azure Data Factory, AWS Glue, Fivetran and Mule Anypoint Platform, whereas Talend Data Fabric is most compared with Talend Open Studio, Talend Data Management Platform, Azure Data Factory, Palantir Foundry and Denodo.
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