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."The performance optimization is quite good in DataStage. It provides parallelism and pipelining mechanisms"
"The most valuable feature is the ability to transfer information via notes."
"As a data integration platform, it is easy to use. It is quite robust and useful for volumetric analysis when you have huge volumes of data. We have tested it for up to ten million rows, and it is robust enough to process ten million rows internally with its parallel processing. Its error logging mechanism is far simpler and easier to understand than other data integration tools. The newer version of InfoSphere has the data catalog and IDC lineage. They are helpful in the easy traceability of columns and tables."
"The product is a stable and powerful data management solution that can run in parallel mode for enhanced speed."
"The solution is very easy to use."
"The solution's scalability is really good...we are using multi-instance jobs where you can scale them easily."
"We are mostly using transmission rules. It has a lot of functions and logic related to transmission. It is a user-friendly tool with in-built functions."
"Once you have Infosphere up and running properly, it is stable."
"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."
"The most valuable feature is the building of mockups and tasks."
"It is one of the best tools available for data integration."
"The product improves data quality."
"It has all the advantages of the Cloud in that you can use it without worrying about infrastructure, upkeep, or upgrades."
"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."
"Data synchronization tasks."
"The most valuable features of Informatica Cloud Data Integration for our clients are the AI capabilities within Informatica Intelligent Cloud Services."
"There are three things that could improve - the cloud, monitoring and cloud integration. It's a solid product but not a modern one and of course it depends what you're looking for."
"Currently lacking virtualization ability."
"The interface needs improvement."
"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."
"The interface needs work to be more user-friendly."
"In the future, I would like to see more integration with cloud technologies."
"The solution can be a bit more user-friendly, similar to Informatica."
"The troubleshooting guide is very bad."
"I have received feedback from certain teams and there is a steep learning curve to use this solution."
"The regions in which the data resides are still limited. This could be an issue in terms of the data residency laws of some of the countries. They should get more regions."
"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."
"The integration process is not easy."
"Performance also needs to be significantly improved, especially when connecting to SFDC for read and write operations."
"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."
"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."
"The current features are a bit complicated, and we need to write big scripts and test."
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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 SSIS, IBM Cloud Pak for Data, Azure Data Factory, Talend Open Studio and IBM App Connect, 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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