--- title: IBM Cloud Pak for Data Reviews meta_title: 'IBM Cloud Pak for Data Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 89 reviews by the users' company size, role or industry to find out how IBM Cloud Pak for Data works for a business like yours. aggregate_rating: rating_value: 4.3 review_count: 89 scale: '5' date_modified: '2026-06-18' parent_category: name: IT Infrastructure url: https://www.g2.com/categories/it-infrastructure --- # IBM Cloud Pak for Data Reviews **Vendor:** IBM **Category:** [Data Fabric Software](https://www.g2.com/categories/data-fabric) **Average Rating:** 4.3/5.0 **Total Reviews:** 89 ## About IBM Cloud Pak for Data IBM Cloud Pak® for Data is a fully integrated data and AI platform that modernizes how businesses collect, organize and analyze data, forming the foundation to infuse AI across their organization. Running on Red Hat OpenShift and available on any cloud, this unified platform helps companies automate the end-to-end AI lifecycle. The intelligent data fabric in IBM Cloud Pak for Data enables automated distributed queries at scale without data movement; automated discovery and understanding of business-ready data; automated universal privacy and usage policies across the data ecosystem; and optimized model training, accuracy and explainability. View the demo: https://mediacenter.ibm.com/media/1\_je41fqqz. The platform delivers on the below use cases: • Data access and availability – Eliminate data silos and simplify your data landscape to enable faster, cost-effective extraction of value from your data. • Data quality and governance - Apply governance solutions and methodologies to deliver trusted, business data. • Data privacy and security - Fully understand and manage sensitive data with a pervasive privacy framework. • ModelOps - Automate the AI lifecycle and synchronize application and model pipelines to scale AI deployments. • AI governance – Ensure your AI is transparent, compliant and trustworthy with greater visibility into model development, with capabilities such as explainable AI, model risk management and bias detection. • AI for Financial Operations - Automate and integrate planning across your organization, from financial planning & analysis to workforce planning, sales forecasting and supply chain planning. • AI for Customer care - Reduce time to resolution, decrease call volume and increase customer satisfaction. IBM Watson Assistant (WA) can provide AI-powered automated assistance and enable human agents to better handle inquiries. IBM Watson Discovery (WD) complements Watson Assistant and can help unlock insights from complex business content. Discover IBM Cloud Pak for Data Industry Accelerators: https://dataplatform.cloud.ibm.com/gallery?context=cpdaas See a case study: https://mediacenter.ibm.com/media/1\_sr6lx8sz Try at no-cost: http://ibm.biz/dataplatformtrial ## IBM Cloud Pak for Data Reviews ### 1. Comprehensive solution for data-intensive workflows **Rating:** 4.5/5.0 stars **Reviewed by:** Amr a. | Data Solution Architect, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** June 17, 2026 **What do you like best about IBM Cloud Pak for Data?** IBM Cloud Pak for Data provides a comprehensive solution for data-intensive workflows. It allows my team to manage almost all aspects of the data workflow, including connecting data sources and tools, because it brings together access, governance, cataloging, analytics, and AI services in one environment. The platform supports data virtualization, allowing teams to work across distributed sources without creating unnecessary copies, while providing greater control over ETL processes and seamless integration with Watson Knowledge Catalog. The Auto-Discovery feature and automated metadata tagging workflows are massive time-savers, especially when mapping data lineage and automatically applying governance policies. **What do you dislike about IBM Cloud Pak for Data?** IBM Cloud Pak for Data can make service selection and implementation feel a bit challenging and more time-consuming than expected for smaller teams or companies without dedicated data platform expertise, especially when it comes to service deployment, management, and troubleshooting. **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** IBM Cloud Pak for Data solves the problem of fragmented data across on-premises and Azure cloud environments, particularly when team members need trusted access but would otherwise have to wait for IT teams to properly manage privacy and access permissions. It helps analysts find certified data faster and gives data science teams a cleaner path from data preparation to model deployment and monitoring. It enables faster access to distributed data across various environments and improves our ETL efficiency through data virtualization. The access controls and dynamic data masking features help our data analytics team reduce data compliance risks to near zero, as sensitive information is automatically masked based on user roles and predefined criteria. ### 2. From Data Silos to Actionable Insights: IBM Cloud Pak for Data Delivers **Rating:** 4.0/5.0 stars **Reviewed by:** Yasser A. | Chief Digital Officer (CDO), Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** July 28, 2024 **What do you like best about IBM Cloud Pak for Data?** IBM Cloud Pak for Data has become an essential tool in driving our organization's digital transformation. The platform's comprehsnive integrated approach to data management, governance, analaytics, and AI has signifcantly streamlined our data operations and empowered us to make data-driven decisions with confidence. **What do you dislike about IBM Cloud Pak for Data?** While the value proposition of IBM Cloud Pak for Data is undeniable, the initial setup and configuration can be complex and time-consuming, requiring dedicated resources and expertise. **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** IBM Cloud Pak for Data has been instrumental in streamlining our data operations. Its unified platform for integration, governance, and AI-powered analytics has broken down silos, mitigated risk, and enhanced our ability to derive actionable insights for improved decision-making and competitive advantage. ### 3. Data Unification Made Easy **Rating:** 4.5/5.0 stars **Reviewed by:** Tamer S. | Business Development Director, Construction, Enterprise (> 1000 emp.) **Reviewed Date:** July 02, 2024 **What do you like best about IBM Cloud Pak for Data?** Unifying siloed data across our projects into a central platform has been fantastic. This capability has been invaluable, enabling us to consolidate disparate data sources, identify critical trends, and optimize resource allocation with percise. **What do you dislike about IBM Cloud Pak for Data?** While IBM CP4D offers powerful integration and AI-driven insights, the inital setup complexisty can be daunting, requiring substantial IT expertise. Also, updates occasionally disrupt ongoing workflows, necessitating careful planning and testing to mitigate impacts. **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** Unifying our data has transformed our project management. It enhances collaboration aross teams, boosts productivity, and accelerates decision-making, crucial in our dynamic construction projects. ### 4. IBM Cloud Pak **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** December 01, 2023 **What do you like best about IBM Cloud Pak for Data?** The comprehensive suite of capabilities within IBM Cloud Pak for Data is impressive. It brings together data management, governance, analytics, and AI tools in one integrated platform, fostering collaboration among data professionals. Its ability to streamline data workflows, ensure data governance, and empower users with AI-driven insights stands out as a powerful asset for businesses aiming to leverage their data effectively. **What do you dislike about IBM Cloud Pak for Data?** challenges like the complexity of setup and configuration, potentially steep learning curves, and the need for significant customization to fit specific organizational needs. Additionally, there might be concerns about the cost associated with utilizing and maintaining the platform. **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** IBM Cloud Pak for Data aims to solve several common challenges in data management and analytics. It helps businesses integrate and manage data from various sources, providing a unified platform for data governance, AI-powered analytics, and collaboration among different teams ### 5. IBM CP4D- One stop Destination for AI Tech **Rating:** 4.5/5.0 stars **Reviewed by:** Navya R. | Senior Data Engineer II, Enterprise (> 1000 emp.) **Reviewed Date:** November 09, 2023 **What do you like best about IBM Cloud Pak for Data?** 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 **What do you dislike about IBM Cloud Pak for Data?** Nothing as such that we can dislike about IBM CP4D. **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** As mentioned earlier in the review, Data Integration/Data Ingestion, Data virtualization, Data transformations using SQL etc. ### 6. One of the best AI-powered data platform in the market **Rating:** 5.0/5.0 stars **Reviewed by:** Vishal G. | Computer Scientist, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** November 09, 2023 **What do you like best about IBM Cloud Pak for Data?** 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 IBM Cloud Pak for Data?** 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 IBM Cloud Pak for Data 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. ### 7. Good Experience **Rating:** 4.0/5.0 stars **Reviewed by:** Faizan A. | Senior Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** November 20, 2023 **What do you like best about IBM Cloud Pak for Data?** 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 IBM Cloud Pak for Data?** 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 IBM Cloud Pak for Data solving and how is that benefiting you?** Multiple APIs hit on a single channel. ### 8. Good for big data management **Rating:** 4.5/5.0 stars **Reviewed by:** Ulka K. | Data Engineering Anayst, Enterprise (> 1000 emp.) **Reviewed Date:** November 09, 2023 **What do you like best about IBM Cloud Pak for Data?** 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 IBM Cloud Pak for Data?** The UI of it is very difficult to navigate. Even the documentation is not easy to follow or easily available. **What problems is IBM Cloud Pak for Data 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. ### 9. Excellent tool for data aggregation **Rating:** 4.0/5.0 stars **Reviewed by:** Nehal C. | Enterprise (> 1000 emp.) **Reviewed Date:** November 29, 2023 **What do you like best about IBM Cloud Pak for Data?** 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 IBM Cloud Pak for Data?** Over my short use of the application, I couldn't find any. **What problems is IBM Cloud Pak for Data 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. ### 10. app hub **Rating:** 5.0/5.0 stars **Reviewed by:** Marcos J. | Architect, Enterprise (> 1000 emp.) **Reviewed Date:** November 30, 2023 **What do you like best about IBM Cloud Pak for Data?** Great platform to deploy many applications **What do you dislike about IBM Cloud Pak for Data?** Perhaps third-party applications could be included. The price is somewhat excessive (although the power is great, the way to license it is excessively complex) **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** We currently use this platform to develop products such as Watson Assistant, WNC, Cognos and in the future a DataStage cartdrige ### 11. IBM Cloud Data Pak **Rating:** 5.0/5.0 stars **Reviewed by:** Trishant P. | Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** November 29, 2023 **What do you like best about IBM Cloud Pak for Data?** The possibility to operate on data in the cloud is really amazing. The features this platform provides are tremendous! **What do you dislike about IBM Cloud Pak for Data?** The UI can be improved. There are designs that are more customer friendly like neumorphism or glassmorphism. **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** Exact big data analytics. Ease of access. ### 12. Excellent **Rating:** 4.5/5.0 stars **Reviewed by:** SAUMYARANJAN M. | Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** December 11, 2023 **What do you like best about IBM Cloud Pak for Data?** It is having good customer support and no of features **What do you dislike about IBM Cloud Pak for Data?** Ease of Integration and Frequency of use **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** It makes easy and friendly to maintain enterprise grade private clouds for the virtual machines ### 13. It is good and have services as per needs. **Rating:** 4.5/5.0 stars **Reviewed by:** Yagya Deep A. | SDE II, Small-Business (50 or fewer emp.) **Reviewed Date:** November 16, 2023 **What do you like best about IBM Cloud Pak for Data?** It have services that i need for my product. **What do you dislike about IBM Cloud Pak for Data?** support can be improved. Ease of use can also be improved. **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** It helps to provision servers for my system and we are able to get our system running. ### 14. High level service quality **Rating:** 3.5/5.0 stars **Reviewed by:** Anant K. | Investment Professional, Small-Business (50 or fewer emp.) **Reviewed Date:** November 25, 2023 **What do you like best about IBM Cloud Pak for Data?** Very good level of insights. The quality of the work is really remarkable **What do you dislike about IBM Cloud Pak for Data?** IBM often overcharges for the service it renders **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** Solving for the high level data integrity ### 15. Cloud Native solution to effectively put your data to work **Rating:** 4.0/5.0 stars **Reviewed by:** Gurpreet S. | Senior Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** June 13, 2023 **What do you like best about IBM Cloud Pak for Data?** 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 IBM Cloud Pak for Data?** Large data set handling needs improvement. Integration with Desktop applications is complex and time consuming **What problems is IBM Cloud Pak for Data 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 ### 16. Great experience for using IBM cloud Pak **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** November 29, 2023 **What do you like best about IBM Cloud Pak for Data?** 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 **What do you dislike about IBM Cloud Pak for Data?** Nothing like a dislike in this product as per my opinion. **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** It provides good features like accelerate deployment automations. Manages data effectively and efficiently. ### 17. IBM CLOUD the best security software I Have used **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Accounting | Small-Business (50 or fewer emp.) **Reviewed Date:** December 04, 2023 **What do you like best about IBM Cloud Pak for Data?** Offers best security features for the organization Easy to use Easy to configure and install Provides good customer support Easy to integrate and migerate Frequency is also good **What do you dislike about IBM Cloud Pak for Data?** Provides good security infrastructure and easy to use **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** No problem is encountered to me ### 18. All good **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Banking | Enterprise (> 1000 emp.) **Reviewed Date:** December 07, 2023 **What do you like best about IBM Cloud Pak for Data?** The best think of IBM cloud pak liked by me is its good interface. **What do you dislike about IBM Cloud Pak for Data?** The name of the service are hard to remember. **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** It providing High configuration servers on cheeper rate. ### 19. Wonderful for managing and deploying applications on the IBM Cloud platform. **Rating:** 5.0/5.0 stars **Reviewed by:** Aaditya M. | Head - Industry Projects, Small-Business (50 or fewer emp.) **Reviewed Date:** January 18, 2023 **What do you like best about IBM Cloud Pak for Data?** 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 IBM Cloud Pak for Data?** 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 IBM Cloud Pak for Data 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. ### 20. IBM's Cloud Pak for Data is among the best data and AI platforms on the market. **Rating:** 4.5/5.0 stars **Reviewed by:** Anees B. | Lead Data and AI Solution Architect, Enterprise (> 1000 emp.) **Reviewed Date:** October 27, 2022 **What do you like best about IBM Cloud Pak for Data?** - 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. **What do you dislike about IBM Cloud Pak for Data?** 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 IBM Cloud Pak for Data 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. ### 21. Good Product to use **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Information Services | Mid-Market (51-1000 emp.) **Reviewed Date:** June 09, 2023 **What do you like best about IBM Cloud Pak for Data?** 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 IBM Cloud Pak for Data?** 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 IBM Cloud Pak for Data 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. ### 22. Efficient data analysis solution **Rating:** 5.0/5.0 stars **Reviewed by:** Hany I. | Technology Trainer/Integration, Higher Education, Small-Business (50 or fewer emp.) **Reviewed Date:** October 03, 2022 **What do you like best about IBM Cloud Pak for Data?** 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 IBM Cloud Pak for Data?** 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 IBM Cloud Pak for Data 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. ### 23. Multi Integrated Cognitive Data Platform! **Rating:** 4.0/5.0 stars **Reviewed by:** SHREEKARKOLANU R. | Software Engineering Specialist, Small-Business (50 or fewer emp.) **Reviewed Date:** October 11, 2022 **What do you like best about IBM Cloud Pak for Data?** 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. **What do you dislike about IBM Cloud Pak for Data?** 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. **What problems is IBM Cloud Pak for Data 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. ### 24. Robust solution to build applications with a modular architecture, run consistent operations **Rating:** 4.5/5.0 stars **Reviewed by:** Deepak B. | Staff Solutions Engineer - Public Sector, Enterprise (> 1000 emp.) **Reviewed Date:** October 20, 2022 **What do you like best about IBM Cloud Pak for Data?** 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 **What do you dislike about IBM Cloud Pak for Data?** 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 IBM Cloud Pak for Data 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 ### 25. Excellent multicloud platform to analyze your data needs & organize your data infrastructure **Rating:** 4.0/5.0 stars **Reviewed by:** Ashley A. | IT Technical Associate - Database Developer, Enterprise (> 1000 emp.) **Reviewed Date:** August 29, 2022 **What do you like best about IBM Cloud Pak for Data?** 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 IBM Cloud Pak for Data?** 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 IBM Cloud Pak for Data 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. ### 26. Best-in-class data management combined with IBM's AI/ML functionalities **Rating:** 4.0/5.0 stars **Reviewed by:** Punit S. | Cloud Engineer, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** October 08, 2022 **What do you like best about IBM Cloud Pak for Data?** 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 IBM Cloud Pak for Data?** 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 IBM Cloud Pak for Data 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. ### 27. One stop solution for data management and data analytics **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Airlines/Aviation | Enterprise (> 1000 emp.) **Reviewed Date:** October 20, 2022 **What do you like best about IBM Cloud Pak for Data?** 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. **What do you dislike about IBM Cloud Pak for Data?** 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. **What problems is IBM Cloud Pak for Data 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. ### 28. Great all in one tool for data **Rating:** 4.0/5.0 stars **Reviewed by:** Dharmendra K. | Data Analyst/ Consultant, Mid-Market (51-1000 emp.) **Reviewed Date:** May 11, 2022 **What do you like best about IBM Cloud Pak for Data?** It is pretty easy to understand by people who are not very proficient in tech as well, and that makes it a very powerful tool. This being a one-stop solution for your data and analytics needs, helps users in achieving optimal performance in their analytical and other tasks. **What do you dislike about IBM Cloud Pak for Data?** As containerization is still comparatively fairly new, it can be a bit difficult for everyone to understand and use it since cloud pak is mostly based on it. So, maybe if some other vertical is available for the users with lesser knowledge about it and better documentation, can help. **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** There are several data integration challenges with a lot of data sources, cleaning and preparing the data and making it available for the analytics pipeline later on, in order to get correct analysis. Also, need to maintain the security in data on the cloud. Also, few verticals require ML and AI capabilities for different kinds of predictions as well ### 29. Great tool for Enterprise level Data Insights and much more **Rating:** 4.5/5.0 stars **Reviewed by:** Muskan C. | Data Engineer / ETL Developer, Enterprise (> 1000 emp.) **Reviewed Date:** May 05, 2022 **What do you like best about IBM Cloud Pak for Data?** 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. **What do you dislike about IBM Cloud Pak for Data?** 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 **What problems is IBM Cloud Pak for Data 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. ### 30. A good business solution proposal **Rating:** 3.5/5.0 stars **Reviewed by:** Juliano R. | Database Specialist, Telecommunications, Mid-Market (51-1000 emp.) **Reviewed Date:** May 04, 2022 **What do you like best about IBM Cloud Pak for Data?** The final interface of the system is excellent because users who are not IT experts quickly learn how to use the system. The UX was well used in this product/system. **What do you dislike about IBM Cloud Pak for Data?** Often corporate solutions try to look simple, but corporate environments are not. The propaganda that you can quickly: build, test, approve and maintain an environment like this. It is not easy, much less fast, because the bureaucracy and financial costs of corporate environments are high. So implementing projects like this takes months, if not years. **Recommendations to others considering IBM Cloud Pak for Data:** Like any other product in this segment, you're going to hate the implementation/deploy step. But after a lot of suffering to make the integrations with the other systems of the corporation. Ah, a good product. **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** It shares the same problems as the competition, and it promises miraculously quick and efficient solutions. But the reality is not that they are projects with a high level of complexity to achieve the promised result in advertising. ### 31. IBM Cloud Pak - All-in-one hybrid cloud platform. Achieve better business performance. **Rating:** 4.0/5.0 stars **Reviewed by:** Surendra S. | Project Manager, Enterprise (> 1000 emp.) **Reviewed Date:** May 09, 2022 **What do you like best about IBM Cloud Pak for Data?** Cloud Pak can use AWS services and features. Cloud-native development solution. Provide a secure way of cloud. Security. Hybrid cloud. Helps with data preparation for artificial intelligence. Collect, organize and analyze data, irrespective of where that data actually resides. **What do you dislike about IBM Cloud Pak for Data?** Not that famous in the industry yet. Not very user-friendly. Multi-user login can be granted. Implementation is not that simple. Documentation and videos are limited. **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** All-in-one hybrid cloud platform. Business automation. Help to provide security for the cloud environment. Helps to get info about potential risks and respond faster to those threats. ### 32. Not just handling of Data, its more than that!! **Rating:** 5.0/5.0 stars **Reviewed by:** Ramesh B. | Senior Tech Lead, Enterprise (> 1000 emp.) **Reviewed Date:** October 31, 2022 **What do you like best about IBM Cloud Pak for Data?** 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 IBM Cloud Pak for Data?** UI is not so user friendly and not well documented. **What problems is IBM Cloud Pak for Data 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. ### 33. Competing solution in AI powered cloud native solution **Rating:** 4.0/5.0 stars **Reviewed by:** Jai P. | Systems Reliability Engineer II, Enterprise (> 1000 emp.) **Reviewed Date:** October 25, 2022 **What do you like best about IBM Cloud Pak for Data?** Scalability, Quick deployment, solution integration with public cloud. **What do you dislike about IBM Cloud Pak for Data?** Local backup solution like snapshots for DB. **What problems is IBM Cloud Pak for Data 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 ### 34. Secure way to cloud solution **Rating:** 4.0/5.0 stars **Reviewed by:** NITESH SINGH . | System reliability engineer, Enterprise (> 1000 emp.) **Reviewed Date:** October 25, 2022 **What do you like best about IBM Cloud Pak for Data?** It is high performance computing solution which used for common platform across the cloud. **What do you dislike about IBM Cloud Pak for Data?** It doesn't allow to start with small infrastructure which is drawback of it. **What problems is IBM Cloud Pak for Data 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. ### 35. IBM Cloud Pak - Overall Experience **Rating:** 4.5/5.0 stars **Reviewed by:** Puneet P. | Technology Architect, Small-Business (50 or fewer emp.) **Reviewed Date:** October 25, 2022 **What do you like best about IBM Cloud Pak for Data?** End to end cloud with smart solution and automation **What do you dislike about IBM Cloud Pak for Data?** Lots of legacy code makes it difficult for finding the right solution **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** Very powerful suite for building epm apps Complications makes it hard in implementing the solution ### 36. Cp4D platform **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** December 10, 2020 **What do you like best about IBM Cloud Pak for Data?** One-stop shop for all Analytics needs from collecting to analyzing allowing users to have everything needed to achieve optimal performance without affecting the underlying sources. **What do you dislike about IBM Cloud Pak for Data?** Need to have open shift skills (container technology), requires more of a culture shift. It’s good in the long run but harder for users newer to containerization **Recommendations to others considering IBM Cloud Pak for Data:** Launching a new Analytics project, this is a one UI integrating all the tools needed on the backend for a fully governed and functional Analytics environment **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** Getting faster time to value by having everything needed for a proper ad hoc analysis. Then as we adopt ML & AI capabilities we have the tools necessary to create, test, deploy, and manage those models. ### 37. Secure organiser for AWS cloud **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Pharmaceuticals | Mid-Market (51-1000 emp.) **Reviewed Date:** November 30, 2022 **What do you like best about IBM Cloud Pak for Data?** 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 IBM Cloud Pak for Data?** Like any other IBM offering the enterprise version is quite costly. **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** I am using it to manage my various amount of sources datasets ### 38. IBM CLOUD PAK is best product in data **Rating:** 5.0/5.0 stars **Reviewed by:** Akshay D. | Cloud Operations Administrator CXOne, Enterprise (> 1000 emp.) **Reviewed Date:** October 19, 2022 **What do you like best about IBM Cloud Pak for Data?** Platform build with data fabric architecture. **What do you dislike about IBM Cloud Pak for Data?** Not yet, because we used and integrate it **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** Improve productiity and reduce complexity ### 39. This could help the best experiance operating the console and the good for hybrid cloud platform **Rating:** 3.5/5.0 stars **Reviewed by:** Ankitkumar Y. | Programmer, Small-Business (50 or fewer emp.) **Reviewed Date:** October 03, 2022 **What do you like best about IBM Cloud Pak for Data?** Dat ware house and cloud stores solution are the best **What do you dislike about IBM Cloud Pak for Data?** A little bit UI experience and pricing model **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** Higher cost for bigger projects, features the package ### 40. It was really good **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Facilities Services | Small-Business (50 or fewer emp.) **Reviewed Date:** October 13, 2022 **What do you like best about IBM Cloud Pak for Data?** Seamless integration of monolith to containerised solution. **What do you dislike about IBM Cloud Pak for Data?** Nothing to specify as such things as per our view. **What problems is IBM Cloud Pak for Data 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 ### 41. Review for IBM Cloud Pak for Data **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** May 06, 2022 **What do you like best about IBM Cloud Pak for Data?** With the help of automation and embedded AI, it helps data to be easily identified thus a great boon to data-driven business **What do you dislike about IBM Cloud Pak for Data?** Service issues like backup and restore and sometimes installation and backup issues make it a little tedious **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** Creating connectors to link the data of the organization with IBM Cloud Pak for Data ### 42. IBM Cloud Private Review **Rating:** 4.5/5.0 stars **Reviewed by:** Samrat S. | QA Specialist, Enterprise (> 1000 emp.) **Reviewed Date:** February 25, 2021 ### 43. A good framework for data analytics and more **Rating:** 4.0/5.0 stars **Reviewed by:** shridhar P. | Technical Architect, Enterprise (> 1000 emp.) **Reviewed Date:** November 11, 2020 **What do you like best about IBM Cloud Pak for Data?** 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. **What do you dislike about IBM Cloud Pak for Data?** 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. **Recommendations to others considering IBM Cloud Pak for Data:** Its a good tool with many features... if your team likes it and fits you requirement list + budget then I would recommend it. **What problems is IBM Cloud Pak for Data 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. ### 44. An end-to-end data and AI stand with data supervision, governance, and analytics capacities **Rating:** 5.0/5.0 stars **Reviewed by:** Sarah C. | Data Integration Specialist, Small-Business (50 or fewer emp.) **Reviewed Date:** August 19, 2020 **What do you like best about IBM Cloud Pak for Data?** The latest IBM Cloud Pak design is, at its focus, a distinct method of bundling and acquiring it. In this design, you can purchase up your current pieces and have all your new bundled title (merging some merchandise to a separate section product in many circumstances) plus get access to a new bundle for AWS red hat. Also, there are specific unique abilities and provisions only obtainable in the Cloud Pak licensing design, and this is particularly relevant regarding the Automation range. The product efficiently reacts to increasing controls with embedded, advanced governance skills; these combine automated detection and analysis of data, cloaking raw data, data zones, and documents life period control. It expedites utilization growth and deployment with a multi-cloud data program that is agile, flexible, and compact. The interest of Kubernetes containerization is to implement and compare services in times, somewhat of days, inside a more stable, supervised situation. **What do you dislike about IBM Cloud Pak for Data?** If the company focuses more on the selling product in the market and makes it accessible with different other databases, it would be more adaptable and convenient to most of the industry. It explains and consolidates how you manage, secure, and interpret data to expedite data science and AI advantage. This multi-cloud stand passes a wide variety of core data microservices, with the opportunity to score more from a developing duties program. I think an excessive marketing strategy would be helpful for market gain and clients benefit both. **Recommendations to others considering IBM Cloud Pak for Data:** It provides the benefit and interest of a vast ecosystem of interconnected hardware, software, and services within a growing service description. Provision preferred data services flexibly and rapidly and customized data workflows to your specific requirements. **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** FileNet Content Manager Business Automation Workflow Data Migration Enterprise Records Operational Decision Manager ### 45. The Best way to adopt cloud inside firewall **Rating:** 5.0/5.0 stars **Reviewed by:** Miguel L. | Data & A.I. Specialist, Small-Business (50 or fewer emp.) **Reviewed Date:** August 19, 2020 **What do you like best about IBM Cloud Pak for Data?** I really love auto ai and jupyter lab and machine learning **What do you dislike about IBM Cloud Pak for Data?** Maybe the experience in db2 database :) :D **Recommendations to others considering IBM Cloud Pak for Data:** Useautoai and open scale **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** Price optimization and demand prediction ### 46. Security is a pillar at IBM **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Civic & Social Organization | Small-Business (50 or fewer emp.) **Reviewed Date:** June 21, 2020 **What do you like best about IBM Cloud Pak for Data?** IBM is a trusted partner to international businesses, providing machines to support cross-continental data compute. Having said that, IBM allows me to control my data while providing support for 50+ locations. Data governance is simplified with IBM in a true cloud model. Security is paramount and in the DNA of IBM. It has been since the entrance of IBM in the international computing market for businesses back in the 1950-60s. **What do you dislike about IBM Cloud Pak for Data?** I'd still like to see more options to seamlessly migrate from other cloud providers to IBM and that is an area that might need some more investment. **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** Big data sets for both internal use and for machine learning feed need a hybrid solution while maintaining the highest degree of security in the cloud that matches or outrivals that of in-house data security. ### 47. A perfect cloud for my data with IBM security **Rating:** 5.0/5.0 stars **Reviewed by:** Jose Raul F. | Coordinador de Planificación Financiera, Mid-Market (51-1000 emp.) **Reviewed Date:** August 16, 2018 **What do you like best about IBM Cloud Pak for Data?** Having a cloud that allows my data to be safe, backed up and obtainable at any time without any type of risk due to loss or bad adaptation, is the peace of mind that ibm offers me with this quality service, I am sure that anyone I would like to have a cloud with this service provider of high capacity and responsibility. **What do you dislike about IBM Cloud Pak for Data?** have always said that everything can be compromised, my suggestion for this, is that there should be a very specialized encryption in order to obtain the highest satisfaction of the market for the database in the IBM cloud, every client would be satisfied with encrypted data adapted to each company that deserves it. **Recommendations to others considering IBM Cloud Pak for Data:** I recommend to any company the use of this type of technological services, due to the security that with this sevicio of data supported that ibm offers in the cloud, it would help to minimize the risk of loss of any important data of the corporate signature. **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** With the use of private data I have summarized a lot of what I had in mind before, since I did not know how and where to place it safely and that over time I can have it without fear of not finding it, with this corporate decision I have managed technological security with my business data. ### 48. ICP4D **Rating:** 5.0/5.0 stars **Reviewed by:** Nagaraj Kumar N. | Consultant , Enterprise (> 1000 emp.) **Reviewed Date:** February 13, 2019 **What do you like best about IBM Cloud Pak for Data?** We didn't have any other product in market that matches ICP4D All products are public cloud focused. No product vendors are focusing the private cloud . ICP address it. **What do you dislike about IBM Cloud Pak for Data?** features and scalability and product maturity need to be improvement for Enterprise scale **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** Private Cloud Needs where business doesn't want to go for public cloud. ### 49. Develop for ICP **Rating:** 3.5/5.0 stars **Reviewed by:** Christian P. | Business Development Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** February 15, 2019 **What do you like best about IBM Cloud Pak for Data?** I Like IBM finally start with the new generation technoligy **What do you dislike about IBM Cloud Pak for Data?** Still look like the 80s design so I would like to have a better overview and easier to use **Recommendations to others considering IBM Cloud Pak for Data:** Look for a Terraform way to install it and use that pre script **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** Go faster to the market ### 50. Enterprise wide solution to adopt Cloud Hybrid architecture **Rating:** 4.5/5.0 stars **Reviewed by:** Yves L. | Enterprise Architect , Enterprise (> 1000 emp.) **Reviewed Date:** February 12, 2019 **What do you like best about IBM Cloud Pak for Data?** The fact that ICP is mainly based on open source stack with some add value products like VA or MCM **What do you dislike about IBM Cloud Pak for Data?** ICP is not well known but the Cloud community (lack of integration for example with bitnami platform) **What problems is IBM Cloud Pak for Data solving and how is that benefiting you?** Acceleration of our Cloud adoption - [View IBM Cloud Pak for Data pricing details and edition comparison](https://www.g2.com/products/ibm-cloud-pak-for-data/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-18+13%3A30%3A14+-0500&secure%5Bsession_id%5D=80c98cb9-73f6-45e1-a06a-c67f8ad5aa81&secure%5Btoken%5D=eeb59154958d76d1ea7e23a7eeffc8d3b870f198d6ed055872f146dfb73c6af9&format=llm_user) ## IBM Cloud Pak for Data Features **Customization** - Custom VMs - Console Configuration - Operating Systems **Infrastructure Provision** - Public Cloud - Private Cloud - Hybrid Cloud - Bare Metal - High-Performance Computing (HPC) - Virtual Machines (VMs) - Edge Computing - Virtual Networks **System** - Data Ingestion & Wrangling **Data Management** - Data Integration - Data Discovery - Multi - Platform - Metadata **Scalability and Performance - Generative AI Infrastructure** - AI High Availability - AI Model Training Scalability - AI Inference Speed **Statistical Tool** - Scripting - Data Mining - Algorithms **Model Development** - Language Support - Drag and Drop - Pre-Built Algorithms - Model Training **Data Transformation** - Real-Time Analytics - Data Querying **Infrastructure** - Network Management - Virtual Machines - Security - Maintenance - Scalability **Management** - Pay by Usage - Usage Tracking - Performance Tracking **Model Development** - Feature Engineering **Analytics** - Data Analytics **Cost and Efficiency - Generative AI Infrastructure** - AI Cost per API Call - AI Resource Allocation Flexibility - AI Energy Efficiency **Data Analysis** - Analysis - Data Interaction **Machine/Deep Learning Services** - Computer Vision - Natural Language Processing - Natural Language Generation - Artificial Neural Networks **Management** - Cloud Migration - Storage Management - Analytics - Database Management - Logging **Machine/Deep Learning Services** - Natural Language Understanding - Deep Learning **Functionality** - Resource Auto-Scaling **Security** - Compliance - Governance - Data Protection **Integration and Extensibility - Generative AI Infrastructure** - AI Multi-cloud Support - AI Data Pipeline Integration - AI API Support and Flexibility **Decision Making** - Modeling - Data Visualizations - Report Generation - Data Unification **Deployment** - Managed Service - Application - Scalability **Connectivity** - Hadoop Integration - Spark Integration - Multi-Source Analysis - Data Lake **Generative AI** - AI Text Generation - AI Text Summarization **Security and Compliance - Generative AI Infrastructure** - AI GDPR and Regulatory Compliance - AI Role-based Access Control - AI Data Encryption **Operations** - Data Visualization - Data Workflow - Governed Discovery - Embedded Analytics - Notebooks **Generative AI** - AI Text Generation - AI Text Summarization **Generative AI** - AI Text Generation - AI Text Summarization - AI Text-to-Image **Usability and Support - Generative AI Infrastructure** - AI Documentation Quality - AI Community Activity **Agentic AI - Data Fabric** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Decision Making **Agentic AI - Data Science and Machine Learning Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications ## Top IBM Cloud Pak for Data Alternatives - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,277 reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (707 reviews) - [Cloudera](https://www.g2.com/products/cloudera/reviews) - 4.1/5.0 (131 reviews)