We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The most valuable features are data virtualization and reporting."
"This solution has improved our overall time to value for data ingestion."
"The drag-and-drop feature in the interface is very good."
"Talend Studio has the ability to use it to ensure data quality."
"We're sold on the customization part of the solution."
"It's a good tool. It has the ability to take apart and install whatever we need. It's very good for data, transformation, and loading."
"This is a user-friendly solution that is easy to use."
"The most valuable features are the ETL tools."
"The most interesting aspect of the solution for us is that Talend Open Studio has a good balance between the features and the cost of the data management platform."
"The technical support could be a little better."
"Inter-version compatibility is a problem, and migration projects between versions are required."
"Having additional training materials, such as a video tutorial, would be an improvement."
"The technical support and documentation need a lot of work to come up to standard."
"It gets the job done but it's a bit slow."
"We don't get continuous replication of the data."
"Technical support and customer service need to be improved."
"The user interface could be made simpler."
"The solution should offer better integration with other products."
"I think that this product is too expensive for smaller companies."
"The paid version of this solution has a very high price, but even with the limitations, the Community version works fine."
"Price could be lower. It is getting too expensive when compared to some other solutions, which is actually a little bit concerning."
"There are many versions available and one is open-sourced which is free."
"The cost for one year for the ETL tools, not for the big data, is 6K per year. It is a good price."
"It does the job well for nothing — without cost. That's the advantage of this product."
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IBM Cloud Pak® for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data to infuse AI throughout their organizations. Cloud-native by design, the platform unifies market-leading services spanning the entire analytics lifecycle. From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information architecture you need to implement AI successfully.
Building on the streamlined hybrid-cloud foundation of Red Hat® OpenShift®, IBM Cloud Pak for Data takes advantage of the underlying resource and infrastructure optimization and management. The solution fully supports multicloud environments such as Amazon Web Services (AWS), Azure, Google Cloud, IBM Cloud™ and private cloud deployments. Find out how IBM Cloud Pak for Data can lower your total cost of ownership and accelerate innovation.
IBM Cloud Pak for Data is ranked 40th in Data Integration Tools with 1 review while Talend Open Studio is ranked 3rd in Data Integration Tools with 17 reviews. IBM Cloud Pak for Data is rated 5.0, while Talend Open Studio is rated 7.8. The top reviewer of IBM Cloud Pak for Data writes "Good reporting, but resource utilization is high and technical support can be improved". On the other hand, the top reviewer of Talend Open Studio writes "A complete product with good integrations and excellent flexibility". IBM Cloud Pak for Data is most compared with Azure Data Factory, Palantir Foundry, Denodo, Mule Anypoint Platform and Oracle Data Integrator (ODI), whereas Talend Open Studio is most compared with SSIS, AWS Glue, Azure Data Factory, IBM InfoSphere DataStage and Pentaho Data Integration.
See our list of best Data Integration Tools vendors.
We monitor all Data Integration Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.