
IBM Cloud Pak for Data on Managed Openshift (BYOL)
IBM Data and AI | 5.0.xLinux/Unix, Red Hat Enterprise Linux 8.6 - 64-bit Amazon Machine Image (AMI)
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Great experience for using IBM cloud Pak
What do you like best about the product?
Easy to use
Easy to implement
Good customer support
Provides good features in terms of data security
Easy to integrate with the other systerms.
Good frequency of usuage
Easy to implement
Good customer support
Provides good features in terms of data security
Easy to integrate with the other systerms.
Good frequency of usuage
What do you dislike about the product?
Nothing like a dislike in this product as per my opinion.
What problems is the product solving and how is that benefiting you?
It provides good features like accelerate deployment automations. Manages data effectively and efficiently.
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Excellent tool for data aggregation
What do you like best about the product?
It helped me in data aggregation from different sources seamlessly and provided excellent insights. This would be my go to tool now after sure.
What do you dislike about the product?
Over my short use of the application, I couldn't find any.
What problems is the product solving and how is that benefiting you?
It helped me analyzing data from different sources, club them together so I could focus on critical data points.
High level service quality
What do you like best about the product?
Very good level of insights. The quality of the work is really remarkable
What do you dislike about the product?
IBM often overcharges for the service it renders
What problems is the product solving and how is that benefiting you?
Solving for the high level data integrity
Good Experience
What do you like best about the product?
The platform supports the entire data and AI lifecycle, from data ingestion and preparation to model development and deployment. This end-to-end capability can enhance collaboration among data scientists, data engineers, and business analysts.
What do you dislike about the product?
I found it a little complex as a new user, especially for those who are new to the system. The range of features and tools may require a learning curve, and some users may prefer a more straightforward user interface.
What problems is the product solving and how is that benefiting you?
Multiple APIs hit on a single channel.
It is good and have services as per needs.
What do you like best about the product?
It have services that i need for my product.
What do you dislike about the product?
support can be improved. Ease of use can also be improved.
What problems is the product solving and how is that benefiting you?
It helps to provision servers for my system and we are able to get our system running.
One of the best AI-powered data platform in the market
What do you like best about the product?
The platform's UI is super intuitive, making it easy to create customizable dashboards for data analysis. It also provides a plethora of other useful features like data virtualization and containerization which helps in creating an error-free environment and improve the monitoring of the service by capturing insightful data.
What do you dislike about the product?
Nothing major that I can think of but there is definitely a bit of a learning curve which might make you hesitant to start with but the customer support is good.
What problems is the product solving and how is that benefiting you?
It is providing an AI-powered platform for data collection and analysis which can consume data from multiple sources and help create advanced data analysis solutions improving the team's productivity and efficiency.
IBM CP4D- One stop Destination for AI Tech
What do you like best about the product?
I just really love the way how IBM Cp4D has a bunch of features in one tool.
It does data integration/data ingestion, data virtualization,data fabric,Building dashboards and dealing with ML aLgos etc.It's really flexible to use for data integration connecting to a different number of data sources . It's way advanced compared to the tools in market at the moment and very much user friendly . It's a game changer.I am a data engineer formerly worked with IBM where I got to use this amazing tool
It does data integration/data ingestion, data virtualization,data fabric,Building dashboards and dealing with ML aLgos etc.It's really flexible to use for data integration connecting to a different number of data sources . It's way advanced compared to the tools in market at the moment and very much user friendly . It's a game changer.I am a data engineer formerly worked with IBM where I got to use this amazing tool
What do you dislike about the product?
Nothing as such that we can dislike about IBM CP4D.
What problems is the product solving and how is that benefiting you?
As mentioned earlier in the review, Data Integration/Data Ingestion, Data virtualization, Data transformations using SQL etc.
Good for big data management
What do you like best about the product?
It is faster and can load a lot of data without putting much load on the servers. The data is secured.
What do you dislike about the product?
The UI of it is very difficult to navigate. Even the documentation is not easy to follow or easily available.
What problems is the product solving and how is that benefiting you?
My business has a lot of upstream data on-prem. We have to utilise ample amount of warehouses data and connect to IBM DB2 with AWS service for fetching the data. IBM Cliud Pak for data nakes this process efficient and fast.
Cloud Native solution to effectively put your data to work
What do you like best about the product?
Data visualization is one of the strong point. Solution is quite interactive and developers can start working with minimum training
What do you dislike about the product?
Large data set handling needs improvement. Integration with Desktop applications is complex and time consuming
What problems is the product solving and how is that benefiting you?
We generate lot of client data on daily basis so this solution provides quick and effective way of integrating various sources for data analysis and visualization
Good Product to use
What do you like best about the product?
The best feature would have to be the Watson Studio. Its a great tool to create more groups and to write code. It is very helpful for machine learning and data science use cases.
What do you dislike about the product?
The most difficult issue faced is the native features being decommissioned. When many changes are made like this it requires the team to come up with alternative ways to do things.
What problems is the product solving and how is that benefiting you?
Helps solve the problem of developing models by using graphical approaches where you can connect to multiple sources.
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