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IBM Cloud Pak - Overall Experience
What do you like best about the product?
End to end cloud with smart solution and automation
What do you dislike about the product?
Lots of legacy code makes it difficult for finding the right solution
What problems is the product solving and how is that benefiting you?
Very powerful suite for building epm apps
Complications makes it hard in implementing the solution
Complications makes it hard in implementing the solution
Robust solution to build applications with a modular architecture, run consistent operations
What do you like best about the product?
Runs anywhere, connects security openly, installs easily in any environment—on a customer’s premises, private cloud, or public cloud
Connects all application data to self-service analytics that are integrated directly into the Cloud Paks platform
Simplifies development of cloud-native applications with open-source standards, common services, and integrated DevOps toolsets
Improves productivity by intelligently automating workflows and decisions (both routine and more complex)
Manages both container and VM deployment, orchestration, upgrades, security, and compliance across hybrid resources in a consistent way and supports all major flavors of Kubernetes, like OpenShift, EKS, AKS, IKS, GKE
Connects all application data to self-service analytics that are integrated directly into the Cloud Paks platform
Simplifies development of cloud-native applications with open-source standards, common services, and integrated DevOps toolsets
Improves productivity by intelligently automating workflows and decisions (both routine and more complex)
Manages both container and VM deployment, orchestration, upgrades, security, and compliance across hybrid resources in a consistent way and supports all major flavors of Kubernetes, like OpenShift, EKS, AKS, IKS, GKE
What do you dislike about the product?
There should be policy enforcement and governance with quota restrictions with ease of life cycle management to install and upgrades of core services.
What problems is the product solving and how is that benefiting you?
Streamlines the building and deployment of cloud-native data and AI workloads
Allows deployment and use of AI with transparency
Allows deployment and use of AI with transparency
One stop solution for data management and data analytics
What do you like best about the product?
1. Catalog for AI services
2. Searching and indexing
3. Good for hybrid and multi cloud architectures
4. Data migration support.
5. Customer support is great.
5. Data virtualization and automation.
2. Searching and indexing
3. Good for hybrid and multi cloud architectures
4. Data migration support.
5. Customer support is great.
5. Data virtualization and automation.
What do you dislike about the product?
1. UI could be better.
2. Learning curve in the beginning, since it is complex.
3. Pricing
4. Third-party integrations could be better
5. Should have more automated workflows.
2. Learning curve in the beginning, since it is complex.
3. Pricing
4. Third-party integrations could be better
5. Should have more automated workflows.
What problems is the product solving and how is that benefiting you?
With IBM cloud pak we are creating automated workflows for data analytics. We integrate IBM cloud pak with ERP systems to collect the data and reduce the ETL processes as well as do the near real time analysis of the data. This is the most used tool within org for the business process automation. This collects the data from different sources including multiple clouds and store centrally.
IBM CLOUD PAK is best product in data
What do you like best about the product?
Platform build with data fabric architecture.
What do you dislike about the product?
Not yet, because we used and integrate it
What problems is the product solving and how is that benefiting you?
Improve productiity and reduce complexity
It was really good
What do you like best about the product?
Seamless integration of monolith to containerised solution.
What do you dislike about the product?
Nothing to specify as such things as per our view.
What problems is the product solving and how is that benefiting you?
It's the hybrid cloud and provides Automation and Al capabilities to speed up product deployments and monitoring the usage
Multi Integrated Cognitive Data Platform!
What do you like best about the product?
Multi-cloud storage option with no limit to storing data.
Large-scale data management across multiple environments.
Integration of AI helps to enable data formation.
Large-scale data management across multiple environments.
Integration of AI helps to enable data formation.
What do you dislike about the product?
It is a bit complex since its heavily loaded with so many features it will take time for the user to understand and implement solutions.
Enhance third-party integrations smoothly so we can quickly implement integration from external sources.
Enhance third-party integrations smoothly so we can quickly implement integration from external sources.
What problems is the product solving and how is that benefiting you?
Helps newbies to get started with AI and data management and integration on enterprise level.
It helps to eliminate the need for costly billing.
It is straightforward for us to work on those data.
The overall computational errors have been reduced, and containerization has become crucial.
It helps to eliminate the need for costly billing.
It is straightforward for us to work on those data.
The overall computational errors have been reduced, and containerization has become crucial.
Best-in-class data management combined with IBM's AI/ML functionalities
What do you like best about the product?
A plethora of excellent features. It is beginner friendly and has an easy-to-use interface. The support provided across multiple cloud platforms is what makes it easily adaptable. The support provided for running Cloud Pak for Data on-premises while providing best-in-class security is an amazing add-on!
What do you dislike about the product?
The downside is that it requires a lot of infrastructure for initial deployment and isn't suitable for small-scale projects. Also, the pricing is too high for startups trying to understand the ecosystem.
What problems is the product solving and how is that benefiting you?
I am a cloud engineer and I struggle with multi-cloud projects where the solution requires an analytics platform that is not supported across multiple cloud platforms. IBM Cloud Pak for Data resolves my conern.
Efficient data analysis solution
What do you like best about the product?
IBM Cloud Pak for Data has an intuitive user interface. It facilitates data analysis workflow and solution development. The service works seamlessly with Watson AI services and allows for secured connections with various data sources, whether on-premises or in the cloud. Also, it's efficient for parallel/distributed data processing and advanced data model building.
What do you dislike about the product?
I find IBM Cloud Pak for Data requires robust technical experience with IBM Cloud Services and much learning. Otherwise, there's nothing that I dislike about it.
What problems is the product solving and how is that benefiting you?
IBM Cloud Pak for Data allows my team to combine, manage, and process various data types from multiple sources to build advanced data analysis solutions for clients. It helps with data preparation, cleaning, transformation, and solution development.
This could help the best experiance operating the console and the good for hybrid cloud platform
What do you like best about the product?
Dat ware house and cloud stores solution are the best
What do you dislike about the product?
A little bit UI experience and pricing model
What problems is the product solving and how is that benefiting you?
Higher cost for bigger projects, features the package
Excellent multicloud platform to analyze your data needs & organize your data infrastructure
What do you like best about the product?
It's a great multilayered platform that enables developers, data engineers, data scientists, business intelligence developers and data analysts to leverage services through their data. There are so many advantages of using this that many businesses have gone live with them and now maintain an integrated platform of automation capabilities. People who code in Kubernetes have heavily used this as it's easy to deploy, analyze, configure and manage the applications. The integrated testing in most cases is successful. The single intuitive dashboard that it provides is excellent.
What do you dislike about the product?
The templates sometimes get too cumbersome to customize and there are more manual steps when it comes to downtime. The RTO and RPO for when security breaches occur are significant. The disaster recovery mechanisms can be improved as they still need a lot of room and scope of improvement. Moreover, the initial setup and the infrastructure are too time-consuming and hard to understand. I feel like if you exactly know why you need this and its services for data analytics and in what kind, that is when you should think of deploying it. Starting the setup without clarity and analyzing use cases as per the organization's needs can be frustrating and challenging.
What problems is the product solving and how is that benefiting you?
IBM works with five Cloud Paks: IBM Cloud Pak for Applications, IBM Cloud Pak for Data, IBM Cloud Pak for Integration, IBM Cloud Pak for Multicloud Management, and IBM Cloud Pak for Automation. It is good to customize based on how it is hosted in our company and I feel that it gives the ability to distribute it and integrate it with multiple service vendors. We always struggled with low redundancy data storage and encryption issues as we deal with a lot of vendors at the same time. The excellent thing we scooped out of their services was the fully encrypted backup and recovery processes that they provide. That too they have multiple data centers to do that. Their data organization is good by using the IBM Cloud file storage. It is pre-confirgured and has a very highly optimized data environment which speaks for itself and provides high performance.
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