We performed a comparison between IBM InfoSphere DataStage and Informatica Cloud Data Integration 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."Compared to other ETL tools, DataStage has excellent debugging and development capabilities. And the availability of connectors, even though we sometimes have to opt for specific ones. Also, the availability of patches is good."
"Highly customizable: Allowing you to handle multiple data latencies (scheduled batch, on-demand, and real-time) in the same job."
"The solution's scalability is really good...we are using multi-instance jobs where you can scale them easily."
"DataStage works better with Linux operating systems when the application services are hosted on Linux system equipment, but it's powerful on Windows too."
"It's a robust solution."
"The most valuable feature is the ability to transfer information via notes."
"It works with multiple servers and offers high availability."
"The most valuable feature of the solution is the ability to incorporate very complex business rules in Data Stage."
"The features I find most valuable is the synchronization, verification, functionalities and all the data integration features."
"REST API: Excellent for scripting control and reporting mechanisms"
"The product improves data quality."
"The product is scalable and excellent for enterprise-level organizations."
"It is a scalable solution. Scalability-wise, I rate the solution a nine out of ten."
"Data synchronization tasks."
"The user interface which is very easy to use if we have any problems to solve."
"The Mapping Designer allows for declarative ETL development (visual scripting) that leverages a wide array of different transformations."
"It doesn't have any big data connections. It would be good to have them because most of the systems are moving towards big data. There should also be a user-friendly way to interact with the cloud. Its loading process is very slow. It takes a lot of time for around 5 or 6 million records, and we are not able to provide real-time data to the vendors due to this delay. Its performance needs to be improved. It is also like a legacy system. It is not updated much. In higher versions, they only do small changes. We would like to have new features and new technologies."
"It would be useful to provide support for Python, AR, and Java."
"The setup is extremely difficult."
"I'd like to be able to do more with the data and metadata, including copy and pasting, et cetera."
"We would be happy to see in next versions the ability to return several parameters from jobs. Now, jobs can return just one parameter. If they could return several parameters, that would be great."
"The solution should be more user-friendly."
"I want the tool to continue with the on-prem version, not the cloud one."
"The interface needs improvement. It is really too technical. That is the main problem."
"User/group administration could use improvement."
"I would like to see support for more data sources."
"There are a small number of UI bugs that occur on occasion."
"The cloud version of the Informatica, it's a very substandard product. They might say it's enterprise-ready but it's not at all ready. They need to add more features, such as improved data replication features. If you look at other tools, such as Matillion they are now cloud-native and flexible. Additionally, Informatica Cloud Data Integration should have a good migration strategy from Informatica PowerCenter to Informatica Cloud Data Integration."
"It could be improved by including a buffer that saves data when there is a connectivity issue."
"Informatica Cloud Data Integration can improve by being more user-friendly. When you're working with the solution a lot of technical knowledge is required. It's not a solution that anyone can use properly, you need knowledge of what's happening at the back end, such as SQL. When you get stuck, you need to look into your logic. For other tools, such as Dell Boomi, anyone can use them."
"Informatica Cloud Data Integration could improve the price by making it less expensive."
"Performance also needs to be significantly improved, especially when connecting to SFDC for read and write operations."
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IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews while Informatica Cloud Data Integration is ranked 5th in Cloud Data Integration with 40 reviews. IBM InfoSphere DataStage is rated 7.8, while Informatica Cloud Data Integration is rated 7.8. The top reviewer of IBM InfoSphere DataStage writes "User-friendly with a lot of functions for transmission rules, but has slow performance and not suitable for a huge volume of data". On the other hand, the top reviewer of Informatica Cloud Data Integration writes "A stable, scalable, and user-friendly solution". IBM InfoSphere DataStage is most compared with IBM Cloud Pak for Data, SSIS, Azure Data Factory, Talend Open Studio and StreamSets, whereas Informatica Cloud Data Integration is most compared with Informatica PowerCenter, Azure Data Factory, AWS Glue, Fivetran and Qlik Replicate. See our IBM InfoSphere DataStage vs. Informatica Cloud Data Integration report.
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