Anonymous UserData Architecture/Management at a consultancy
Hemant RaoraneTechnical Architect at Team Computers
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"Technical support is great. It's one of the reasons we really like them. When you compare support from IBM and support from Informatica, Informatica is much better."
"The performance and design of Informatica have been very valuable. I find the performance faster than, say, Oracle Data Integrator or DataStage."
"In the end, you have structured, proper data for use in an integrated BI solution."
"The features I find most valuable is that the solution is very user-friendly and the graphical design is very easy to understand."
"Technical support, and their approach is good. They have a support portal and support tickets. If you open a ticket it has multiple levels of severity from level one to very high or critical."
"The most complex task, in this case, was to read and transform BLOB data, and Java transformation in Informatica Power Center was a great solution."
"The most valuable feature is the new Data Lake feature, which provides the basic capabilities needed."
"The partitioning and optimization to help enhance our development is a very valuable aspect of Informatica PowerCenter."
"As long as you pick the solution that best fits with your requirements, you won't find that performance is a problem. It's good."
"I have found it to be a very good, stable, and strong product."
"Now they are migrating to a new version, and they have something that is called Informatica Developer. Previously, they just had PowerCenter. Now, when they move everything to Informatica Developer it's not as good or stable like it was when it was PowerCenter, though it has some nice features. This Developer tool could be better."
"As a connector to big data, it is not well developed. We've had problems connecting Informatica with Hadoop. The functionality to connect Informatica with Hadoop, for me it's not good."
"Integration with Artificial Intelligence would benefit this solution."
"I would like to see an improvement in the digital adoption."
"The licensing cost for Informatica is very high. Other all-in-one solutions have much lower prices than Informatica."
"Include more instruments for LOGs analysis, interpretation, and job corrections."
"I found it is kind of weird that not all of the mapping changes are treated as true changes."
"The multiple interfaces in Informatica PowerCenter are not great for the user experience. Because of this, I think it can cause confusion for any beginner developer."
"The solution has room for improvement in the ETL. They have an ETL, but when it comes to the monitoring portion, Qlik Compose doesn't provide a feature for monitoring."
"I believe that visual data flow management and the transformation function should be improved."
"Price-wise, it's more expensive than SSIS, but it's a better tool, so it has more features. Licensing is on a yearly basis."
"Its maintenance is expensive."
"It's much more expensive, almost three times more expensive than most other solutions."
"We are satisfied with the pricing."
"I consider this to be an expensive product."
"It is for big enterprises. We have leveraged Informatica for big enterprises but not for small and medium enterprises because it is a very costly product as compared to other products. We propose this solution only for enterprise customers. For small to medium enterprises, we would propose the Microsoft solution. Its licensing is currently bundle-wise. It should be features-wise and not bundle-wise."
"The price of this solution is high."
"Our client has purchased the license, and we are using it."
Enterprise data integration platform to help organizations access, transform, and integrate data from a variety of systems.
Qlik Compose comes in two offerings: Qlik Compose for Data Warehouses and Qlik Compose for Data Lakes. Qlik Compose for Data Warehouse automates and streamlines the design, creation, loading, management, and update of data warehouses including Amazon Redshift, Azure Synapse, Google BigQuery, Snowflake and Oracle. Qlik Compose for Data Lakes automates the process of providing continuously updated, accurate, and trusted data to big data platforms like Apache Hadoop, Cloudera Customer Data Platform and Databricks Unified Data Analytics Platform.
Informatica PowerCenter is ranked 1st in Data Integration Tools with 22 reviews while Qlik Compose is ranked 35th in Data Integration Tools with 2 reviews. Informatica PowerCenter is rated 8.2, while Qlik Compose is rated 6.0. The top reviewer of Informatica PowerCenter writes "A stable, scalable, and mature solution for complex transformations and data integration". On the other hand, the top reviewer of Qlik Compose writes "Excellent data integration but needs better scheduling and monitoring features". Informatica PowerCenter is most compared with Informatica Cloud Data Integration, SSIS, Azure Data Factory, Oracle Data Integrator (ODI) and Informatica PowerExchange, whereas Qlik Compose is most compared with Qlik Replicate, Azure Data Factory, Palantir Foundry, Talend Open Studio and WhereScape RED. See our Informatica PowerCenter vs. Qlik Compose report.
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