IBM Cloud Pak for Data
IBM SoftwareReviews from AWS customer
0 AWS reviews
-
5 star0
-
4 star0
-
3 star0
-
2 star0
-
1 star0
External reviews
91 reviews
from
and
External reviews are not included in the AWS star rating for the product.
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.
Wonderful for managing and deploying applications on the IBM Cloud platform.
What do you like best about the product?
The IBM Cloud Pack software is known for its flexibility and scalability, allowing users to easily manage and deploy applications on the IBM Cloud platform. Additionally, it offers a wide range of tools and services that can help businesses and organizations optimize their operations and improve their performance.
What do you dislike about the product?
Some users have reported that the IBM Cloud Pack software can be complex and difficult to navigate, particularly for those who are not familiar with the IBM Cloud platform. Additionally, the software may not be well-suited for small businesses or individuals with limited technical expertise. Some users also find the pricing and subscription model to be somewhat inflexible. Overall, it may not be the best fit for every organization or user.
What problems is the product solving and how is that benefiting you?
The IBM Cloud Pack software offers several benefits for businesses and organizations that use it, including:
Flexibility: The software allows users to easily manage and deploy applications on the IBM Cloud platform, which can help businesses and organizations to quickly and easily adapt to changing business needs and demands.
Scalability: IBM Cloud Pack enables businesses to scale their applications and infrastructure as their needs grow, providing the ability to handle increasing traffic and usage.
Wide range of tools and services: IBM Cloud Pack offers a wide range of tools and services, such as analytics, security, and artificial intelligence, that can help businesses and organizations to optimize their operations and improve their performance.
Integration: IBM Cloud Pack integrates with other IBM software and services, such as IBM Watson, to provide a cohesive and robust platform for businesses.
Global Support: IBM is a global company, which means businesses can rely on IBM Cloud Pack support to be available in most regions and countries.
Flexibility: The software allows users to easily manage and deploy applications on the IBM Cloud platform, which can help businesses and organizations to quickly and easily adapt to changing business needs and demands.
Scalability: IBM Cloud Pack enables businesses to scale their applications and infrastructure as their needs grow, providing the ability to handle increasing traffic and usage.
Wide range of tools and services: IBM Cloud Pack offers a wide range of tools and services, such as analytics, security, and artificial intelligence, that can help businesses and organizations to optimize their operations and improve their performance.
Integration: IBM Cloud Pack integrates with other IBM software and services, such as IBM Watson, to provide a cohesive and robust platform for businesses.
Global Support: IBM is a global company, which means businesses can rely on IBM Cloud Pack support to be available in most regions and countries.
Secure organiser for AWS cloud
What do you like best about the product?
It is quite easy to use as it comes with a dashboard that can be customized with any of the underlying cloud services.
What do you dislike about the product?
Like any other IBM offering the enterprise version is quite costly.
What problems is the product solving and how is that benefiting you?
I am using it to manage my various amount of sources datasets
Not just handling of Data, its more than that!!
What do you like best about the product?
It provides multiple components and integrations to handle data, provides key insights around it. This AI platform makes all data available for analytics on any cloud.
What do you dislike about the product?
UI is not so user friendly and not well documented.
What problems is the product solving and how is that benefiting you?
AI powered Data Analytics improves the operational efficiency. Decision making has become easier because it provides great insights around the data.
IBM's Cloud Pak for Data is among the best data and AI platforms on the market.
What do you like best about the product?
- What is most helpful about IBM Cloud Pak for Data?
The platform's UI is very simple, intuitive and customizable making the overall user experience quite exceptional.
- What are the upsides of using IBM Cloud Pak for Data?
If you are a Chief Data Officer or a leader of Data and AI initiatives, then this platform is for you because it is built on the integration of several services designed to run wherever OpenShift is in place.
If your objective is to achieve Data Fabric while ensuring data privacy and compliance with regulations, then services such as Data Virtualization, Data Integration and Watson Knowledge Catalog are key to reaching such a goal.
The platform's UI is very simple, intuitive and customizable making the overall user experience quite exceptional.
- What are the upsides of using IBM Cloud Pak for Data?
If you are a Chief Data Officer or a leader of Data and AI initiatives, then this platform is for you because it is built on the integration of several services designed to run wherever OpenShift is in place.
If your objective is to achieve Data Fabric while ensuring data privacy and compliance with regulations, then services such as Data Virtualization, Data Integration and Watson Knowledge Catalog are key to reaching such a goal.
What do you dislike about the product?
One of the big issues with the current release of Cloud Pak for Data (4.5.x) is the lack of connectors allowing business users and data citizens to connect to MANTA and leverage Business Data Lineage features. However, the product management of Cloud Pak for Data and Connectivity teams are working on delivering more connectors to allow for more integration with MANTA.
What problems is the product solving and how is that benefiting you?
IBM Cloud Pak for Data is a multifaceted solution that deals with many business challenges around data and AI. These use cases include, but are not limited to:
- Achieving Data Fabric thanks to Data Virtualization, Data Integration and Data Access services.
- Data Governance and Data Privacy thanks to Watson Knowledge Catalog, IBM Guardium and Truata Anonymization.
- Operationalizing and Infusing AI with services for no code (AutoAI), low code (SPSS Modeler, Decision Optimization) or pure coding using Notebooks with languages such as Python, Scala and Java.
- Delivering exceptional customer care through conversational AI with Watson Assistant, Watson Discovery, Watson Tone Analyzer, Watson Text-To-Speech and Speech-To-Text and many other services from the catalog.
- Achieving Data Fabric thanks to Data Virtualization, Data Integration and Data Access services.
- Data Governance and Data Privacy thanks to Watson Knowledge Catalog, IBM Guardium and Truata Anonymization.
- Operationalizing and Infusing AI with services for no code (AutoAI), low code (SPSS Modeler, Decision Optimization) or pure coding using Notebooks with languages such as Python, Scala and Java.
- Delivering exceptional customer care through conversational AI with Watson Assistant, Watson Discovery, Watson Tone Analyzer, Watson Text-To-Speech and Speech-To-Text and many other services from the catalog.
Secure way to cloud solution
What do you like best about the product?
It is high performance computing solution which used for common platform across the cloud.
What do you dislike about the product?
It doesn't allow to start with small infrastructure which is drawback of it.
What problems is the product solving and how is that benefiting you?
It helps us to providd on-prem cloud solution to our . It help to utilize the resources well.
Competing solution in AI powered cloud native solution
What do you like best about the product?
Scalability, Quick deployment, solution integration with public cloud.
What do you dislike about the product?
Local backup solution like snapshots for DB.
What problems is the product solving and how is that benefiting you?
Various customer have their operation running in a hybrid model and heterogeneous work models like my medical client are able to manage lesser work intensive but require AI-powered compute to IBM's solution
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
showing 21 - 30