We performed a comparison between IBM Cloud Pak for Integration and TIBCO Spotfire 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 most valuable aspect of the Cloud Pak, in general, is the flexibility that you have to use the product."
"It is a stable solution."
"The most preferable aspect would be the elimination of the command, which was a significant improvement. In the past, it was a challenge, but now we can proceed smoothly with the implementation of our policies and everything is managed through JCP. It's still among the positive aspects, and it's a valuable feature."
"Cloud Pak for Integration is definitely scalable. That is the most important criteria."
"Live Query data on demand, R and Python integration, and the ability to write HTML and JavaScript text areas are all valuable features."
"I appreciate Spotfire's range of visualization options, advanced analytics features, and seamless integration with other TIBCO products."
"One of the main features is integrated statistical analysis."
"The ability to connect to many different data sources is one of the key features. The other would then be the different ways in which that data can be visualized."
"Data discovery is very simple."
"We used it pretty heavily in gathering data, which goes to our VPs. They are able to base their next revenue planning based on this metric. So, it has been invaluable."
"The two features that I have found most valuable are its ability to customize the dashboards when it comes to the evaluation. The second feature is its ability to handle a large amount of data, which is also something very unique about it."
"This solution allows us to integrate data from across all client departments, for effective reporting via a single dashboard."
"Setting up Cloud Pak for Integration is relatively complex. It's not as easy because it has not yet been fully integrated. You still have some products that are still not containerized, so you still have to run them on a dedicated VM."
"Its queuing and messaging features need improvement."
"The initial setup is not easy."
"The pricing can be improved."
"When you do the data loading, it is slow."
"The Text Area feature needs to be more user-friendly. It is a little clunky to use, and it is difficult to consistently format text."
"One aspect where Spotfire could improve is its global recognition, especially in terms of support."
"The data compression has room for improvement."
"I would like more easy-to-implement analytical algorithms. At the moment they include things like forecasts and regressions. They need to add a lot more of these types of things to the product because not everyone is a data scientist."
"The design of the UI could be improved."
"We would like an easier way to get the product to the cloud. Right now, we have the on-premise version, and we would like to find a way to make it easier to migrate it over to the cloud."
"The initial setup is complicated and needs experience and knowledge."
More IBM Cloud Pak for Integration Pricing and Cost Advice →
IBM Cloud Pak for Integration is ranked 14th in Cloud Data Integration with 4 reviews while TIBCO Spotfire is ranked 13th in BI (Business Intelligence) Tools with 66 reviews. IBM Cloud Pak for Integration is rated 8.6, while TIBCO Spotfire is rated 8.2. The top reviewer of IBM Cloud Pak for Integration writes "A hybrid integration platform that applies the functionality of closed-loop AI automation". On the other hand, the top reviewer of TIBCO Spotfire writes "A robust BI tool, with good dashboard features and adverse event tracking". IBM Cloud Pak for Integration is most compared with IBM App Connect, IBM API Connect, IBM DataPower Gateway, MuleSoft Anypoint API Manager and Microsoft Azure API Management, whereas TIBCO Spotfire is most compared with Tableau, Microsoft Power BI, Qlik Sense, QlikView and Amazon QuickSight. See our IBM Cloud Pak for Integration vs. TIBCO Spotfire report.
See our list of best Cloud Data Integration vendors.
We monitor all Cloud Data Integration 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.
