IBM Cloud Pak for Data
IBM SoftwareExternal reviews
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Great tool for Enterprise level Data Insights and much more
What do you like best about the product?
A lot of great features are provided by IBM tools. And cloud Pak for Data in particular is again something that comes with a bundle of great data-centric features, which makes the life of a data team easier in several aspects.
Data virtualization has been very useful, along with the ability to integrate with several other tools, as and when required.
Also, containerization is very crucial in maximum projects these days, and IBM cloud pak beautifully delivers this feature as well and helps in creating a lesser error-prone environment for everyone and giving faster deliveries and insights.
Data virtualization has been very useful, along with the ability to integrate with several other tools, as and when required.
Also, containerization is very crucial in maximum projects these days, and IBM cloud pak beautifully delivers this feature as well and helps in creating a lesser error-prone environment for everyone and giving faster deliveries and insights.
What do you dislike about the product?
I feel it is a bit complex and pricey though, and hence not easily approachable to integrate into smaller firms.
From the complexity perspective, it is because it offers tonnes of amazing features, but it becomes equally difficult to get a hang of everything and understand each feature and takes some time to get used to. So, maybe more tutorials and all should be there for better understanding and making knowledge transfer smooth for everyone
From the complexity perspective, it is because it offers tonnes of amazing features, but it becomes equally difficult to get a hang of everything and understand each feature and takes some time to get used to. So, maybe more tutorials and all should be there for better understanding and making knowledge transfer smooth for everyone
What problems is the product solving and how is that benefiting you?
Needed a hybrid cloud solution as our project required pulling data from several sources like DB, flat files, APIs etc. After that of course it needed to be staged and prepared and transformed accordingly as per the requirements and had to be made for different kinds of data analytics and insights generation. Then it was loaded to different targets, again according to the sub-stream it belonged to and w.r.t the end user. So, there would be a different kind of end-users, looking at the different granularity of the data.
A good framework for data analytics and more
What do you like best about the product?
Rich with many features like data virtualization, integrations with many tools, unique way of data processing, etc. Not only that CPD has integrations with many external tools it as it runs on kubernetes we can bring in any kind of process or tool into the cluster with some work.
Also IBM team supported very well throughout the process. They even let us use their sandbox for while until we get comfortable with the system.
Also IBM team supported very well throughout the process. They even let us use their sandbox for while until we get comfortable with the system.
What do you dislike about the product?
Cost of the tool is not that approachable for smaller companies. I guess just like other IBM tools even this comes with certain cost. Another important factor to consider is its complexity. As there are many feature it brings in more complexity to the tool. It will take some time/training to understand all the aspects of this tool.
What problems is the product solving and how is that benefiting you?
We are trying to solve media related data processing problem using CPD. It involved pulling data from various sources like S3, databases, SFTP, even file uploads. Once the data from different sources are available in the system it has to be cleansed, transformed and made available for analytics at its lowest granularity. From their it would go into different paths - aggregation of the data for visualization by business teams while some folks would be using the raw data fore deep analytics.
Recommendations to others considering the product:
Its a good tool with many features... if your team likes it and fits you requirement list + budget then I would recommend it.
Limited experience but impressed
What do you like best about the product?
Ease of use; completeness of the offering
What do you dislike about the product?
No support for migration of ETLs to the cloud (for example SSIS)
What problems is the product solving and how is that benefiting you?
Data warehouse for the enterprise
Recommendations to others considering the product:
Very impressive offering. i'll be considering
Robust and secure private cloud platform infused with AI
What do you like best about the product?
Ease of development and deployement, open source support, kubernetes based
What do you dislike about the product?
Better community support and support for the technology
What problems is the product solving and how is that benefiting you?
Used cases across citizen governance, telecom ad manufacturing
going to icp
What do you like best about the product?
open source supported by ibm as well as portability, and easy transition from redhat
What do you dislike about the product?
steep learning curve, difficult to get all stakeholders aligned
What problems is the product solving and how is that benefiting you?
ability to access data
It's a good product yet to mature and evolve
What do you like best about the product?
Openess and completness of the product. Amalgamating open source lead technology
What do you dislike about the product?
It's yet on it's early versions, so need to mature
What problems is the product solving and how is that benefiting you?
Pilot deployment and proof on concept. Considering if it can escale.
Running SAP BSOH in IBM cloud
What do you like best about the product?
Better performance compared to on-premise installation running on Oracle
What do you dislike about the product?
Seems to have more unplanned outages in the cloud
What problems is the product solving and how is that benefiting you?
Modernize platform and improve SAP performance by running on HANA. Offers more options for data extraction for analytics.
Innovative product
What do you like best about the product?
I can run in premises
Based on industry standards
Based on industry standards
What do you dislike about the product?
Needs improvements
requires manual steps, not fully automated
requires manual steps, not fully automated
What problems is the product solving and how is that benefiting you?
Using big data analytics
IBM Cloud for Social Media Data
What do you like best about the product?
Solution speeded up mz project delivery from month to days. We offered our solution to other developers and fostered co-creation.
What do you dislike about the product?
The initial information avaible on the net was not very helpful. The combination with other services was transparent to me.
What problems is the product solving and how is that benefiting you?
Usage of a variety of analytical services based on a high level of security.
Systems Tech
What do you like best about the product?
Good options for all sized companies with this product.
What do you dislike about the product?
Pricing is not as clearly listed as would make it easiest to understand if not in the field.
What problems is the product solving and how is that benefiting you?
Application support is the biggest problem. We have realized that it gives us the options to convert apps over to cloud
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