IBM Cloud Pak for Data Reviews and Ratings

Rating: 8.6 out of 10

Score

8.6 out of 10

Community insights

TrustRadius Insights for IBM Cloud Pak for Data are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.

Pros

Accelerated Data Exploration: Users have praised the platform for its ability to quickly explore and analyze data from various sources, finding the process seamless and efficient. They appreciate how it helps them uncover insights faster and make informed decisions based on real-time data exploration capabilities.

AI-Driven Insights: Users value the AI-driven insights provided by the platform, as it significantly enhances their productivity and decision-making processes. The AI algorithms allows users to derive conclusions from complex datasets, leading to more accurate predictions and actionable recommendations.

Fast Query Execution: The fast query execution of the platform has been highlighted by users as a standout feature, along with its data virtualization capabilities. Users find that quick access to data results in faster decision-making processes and enables them to respond promptly to changing business needs.

Reviews

9 Reviews

You know what you know about "IBM Cloud Pak for Data"

Rating: 8 out of 10

Incentivized

April 17, 2023

Use Cases and Deployment Scope

We use it to connect it with our product for integration with cloud and it helps to enables all of your data users to collaborate from a single, unified interface that supports many services that are designed to work together. we give the end user recommendation is they want to store the data in cloud.

Pros

all-in-one cloud-native Data and AI platform in single platform
it enables us to collect, organize and analyze data
it provides unprecedented simplicity and agility, within a preconfigured and governed environment.

Cons

Cannot save changes to some secrets in the internal vault
Sign-in issues on environments where IAM is enabled
The Enforce quotas option is disabled

Likelihood to Recommend

Cost Savings of IBM Cloud Pak for Data on Red Hat OpenShift and The platform upgrade does not complete when the control plane and the scheduling service are upgraded concurrently

Nitesh Singh

SRE2 in Customer Service at Nutanix (1001-5000 employees)

Vetted Review

2 years of experience

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Cloud Pak for Data with Netezza

Rating: 10 out of 10

Incentivized

April 14, 2023

Use Cases and Deployment Scope

We advise many of our clients on the best ways to process ETL and Analytics, quickly, and efficiently. CP4D has been around for many years and we have implemented this for many organizations. It solves most bottlenecks clients have for processing in a very cost effective and reliable environment. Clients can also process jobs within seconds where it would previously take days. This offers a platform to organizations allowing them to change their business models. For example, a large financial institution in Canada would normally score their customers in 45 hours. With CP4D with Netezza, the same scoring job completes in 15 seconds. Now customers can be scored daily. This same story can be seen at hundreds of other clients we support. There is nothing else like it on the market at such a competitive price on premise or in the cloud.

Pros

the fastest execution of queries
business critical support and redundancy in design for almost 100% uptime
ties in with many other IBM offerings such as Watson
support at IBM is unbeatable with experts available before and after the sale to assist clients

Cons

This offering is currently available on prem, in Azure, and soon in AWS. GCP availability will be in the future as there is demand in the marketplace
The on premise offering starts with a Base + 0 model, which is a significant appliance. There are no 'mini' offerings as there were in the past.
At Destiny, we work closely with IBM to help our clients perform budgetary planning.

Likelihood to Recommend

IBM Cloud Pak for Data with Netezza is well suited for clients who require fast, economical analytics processing. It is not designed to be used as a transactional processing environment. For example, a large customer is using it during the point of sale process. That makes little sense in that business case. However, to take analysis to market faster, it excels well in that space.

Dana Rafiee

Director of Worldwide Strategic Consulting in Professional Services at Destiny Corporation (51-200 employees)

Vetted Review

20 years of experience

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All-in-one, Real-time Data analytics, phenomenal user experience, Top-notch AI hybrid cloud platform.

Rating: 10 out of 10

Incentivized

December 1, 2022

Use Cases and Deployment Scope

IBM Cloud Pak for Data is a powerful cloud-native AI all-in-one easy to use solution that enables us to put data to work quickly and effectively.

This tool also enables us to approach analytics our way, with code, low-code and no code options that allows us to collaborate on one platform. Easy to transform structured and unstructured data into analytics insights. Build and test models with best-in-class AI and analytics. The support team is generally the most proactive and supportive 24/7.

Pros

Increases our impact by combining BI skills with advanced analytics and machine learning in an easy to use visual interface.
Visualization and reporting.
Rapidly provides business -ready data to all users equally.
Manage data spread across distributed stores and clouds.

Cons

Price is something that affects most the small business enterprises. There should affordable pricing plans for the small organization.
It's takes some time to learn and grasp everything.

Likelihood to Recommend

Unlike others analytics tool IBM Cloud Pak for Data provides out-of-the-box privacy, model interpretability and fairness monitoring, along with automatic explanation of data and models written in business language. It's a great tool that all business should emulate. Great user experience because of every feature is functional and improved constantly.

Khati Disha

Information Technology Project Manager in Information Technology at Fiserv (10,001+ employees)

Vetted Review

1 year of experience

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IBM Cloud Pak for Data

Rating: 8 out of 10

Incentivized

November 2, 2022

Use Cases and Deployment Scope

Use case was to store utility data to build a smart utility solution for prediction of future trend. All data was stored and AI /ML algorithm was run on top of it and analytics dashboard also built on the same. It manage to store high volume of both structured and unstructured data and churn desired result in optimum time.

Pros

In built AI/ML cabability
Integration with other application
Cloud storage

Cons

more out of box integration
more out of box AL/ML function
Analytics

Likelihood to Recommend

If you need connect multiple data source , ingest data and run AI /ML

algorithm, IBM Cloud Pak for Data is very good solution , specially

industry like Retail, Utility etc which are data intensive and need to handle both structured and unstructured data . Cloud storage option also significantly reduce TCO and need for data duplication. Usecase should consider what are the data source and how many out of the box integration solution is available , need data lineage like functionality.

Prasun Dutta

SAP Practice Leader , CIC India in Professional Services at IBM Global Business Services (10,001+ employees)

Vetted Review

3 years of experience

Awesome cloud platform

Rating: 9 out of 10

Incentivized

October 29, 2022

Use Cases and Deployment Scope

IBM Cloud Pak for Data is a fully scalable platform for data & analytics and we use it to provide data solutions for our customers. We use it to provide various industry solutions for our clients that need a cloud data platform that can be used for data analytics, data science and data virtualisation

Pros

Data
Analytics
Data science
Data management
Data catalog

Cons

Deployment options
Ease of installation

Likelihood to Recommend

IBM Cloud Pak for Data is well suited for organisations that are moving to cloud and have complex data, analytics and data science requirements all within a single platform. Clients that want to deal with all these requirements along side data catalogue, data governance & data virtualisation will be pleased they invested in this platform

Nick Waters

Solution Architect in Sales at Capita (10,001+ employees)

Vetted Review

Reseller

4 years of experience

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Best fully integrated data and AI platform.

Rating: 9 out of 10

Incentivized

August 24, 2022

Use Cases and Deployment Scope

My primary use case with IBM cloud Pak for data is to organize all our data in a central repository which makes it very easy to analyze them later. One of the best things with IBM cloud Pak is that it connects various siloed data across cloud landscapes and makes it very easy for us to work on those data. Additionally, the overall computational errors have been reduced, and containerization has become very crucial.

Pros

The AI services catalog like the Watson Assistant is very good.
The analytics dashboard featuring all the recent history is very good with IBM.
Searching for data through the unified search option is super cool.

Cons

More documents are needed on containerization.
The integrations through containerizations can be improved.
The cost of the product is on the higher side.

Likelihood to Recommend

IBM Cloud Pak for data is one of the best ways through which a business can infuse Artificial Intelligence across their organization. One of the things that IBM cloud does well is the data privacy and security that it offers. Since most of our data is sensitive, IBM's privacy framework helps us secure it. Additionally, scaling data-related processes and queries is super easy with its end-to-end AI lifecycle.

Sumesh Gansar

Product Marketing Manager in Marketing at Samsung Electronics (1001-5000 employees)

Vetted Review

2 years of experience

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DATA MANAGEMENT IN DIFFERENT ENVIRONMENTS WITHOUT THE COMPLEXITY OF BEFORE.

Rating: 10 out of 10

Incentivized

August 21, 2022

Use Cases and Deployment Scope

This cloud-based tool is excellent for visualizing and managing all data across networks, also fulfilling fuzzy data storage, making it less complex and completely improving productivity in the organization; so everything will be managed in multiple environments without any problem. That's why since IBM Cloud Pak for Data has been implemented everything is better organized and managed across all departments with no hassle.

Pros

Artificial intelligence that solves everything automatically.
We can store in many clouds all the desired data.
we are much more productive.
Excellent customer service system, willing to help always.

Cons

There is no problem with this software, it offers us many services that have helped us to grow as a business and therefore economically we would implement it again.

Likelihood to Recommend

It is a good option to grow your business, the implementation is very easy, you do not need to be an expert to use it and it has an excellent data integration service in different clouds simultaneously; it will also save you money through automation. Everything will be faster without errors to regret. Data privacy is also another feature that makes IBM the best of data analytics software.

Kenzie Cranston Lee

Technical Support Engineer in Engineering at GE (10,001+ employees)

Vetted Review

2 years of experience

View profile

Perfect for hybrid and multi-cloud environments.

Rating: 7 out of 10

Incentivized

August 21, 2022

Use Cases and Deployment Scope

IBM Cloud Pak for Data is driving business productivity by reducing the time spent reading and analyzing data, we always use this tool in all departments that need to gather relevant information in the cloud from a single centralized platform for better reporting of data, it is possible to analyze data from many sources in a short period of time. Data virtualization is very simple, migrations, readings, analysis, data management from other sources are performed without problems of requirements, we have a team of experts in IBM Cloud Pak for Data to maintain security and correct data management .

Pros

Robust data virtualization.
Robust centralized data analytics.
Improves data reliability.
Compatible with hybrid and multi-cloud environments.

Cons

Setting up hybrid and multi-cloud environments is a long job for my entire team.
We have more reliable results in the company with the features of this cloud-based software.

Likelihood to Recommend

IBM Cloud Pak for Data is the most appropriate for companies that need to incorporate data analysis from hybrid and multi-cloud environments, IBM Cloud Pak for Data is a bit difficult to use but this is not a problem that cannot be solved; it's much more precise and reliable and you can always generate reports without problems, it is fast and has never failed. It is a centralized and fast software, it is capable of performing analyzes from multiple sources of information and has never failed.

Laurie Julie Blake

System Engineer in Engineering at Mr. Cooper (5001-10,000 employees)

Vetted Review

3 years of experience

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Roots you to efficiency in data management

Rating: 8 out of 10

Incentivized

July 19, 2022

Use Cases and Deployment Scope

We have deployed IBM Cloud Pak for Data in my organization to manage and govern data across diffuse data clouds and stores. In our department, we use it to process router data without transferring it to a central store house. We use it to integrate data across our multi-cloud environments. It helps us integrate AI in network environments specifically for network switches enabling end to end AI workflows for easy model deployments.

Pros

Integrates AI help reduce the complexity in data consolidation
Manages data well across multiple environments
Reduces ETL requests by great margins

Cons

It is complex; The platform comes with several features from MLOPs to Customer 360 which may take a long time for the user to understand.

Likelihood to Recommend

IBM Cloud Pak for Data has played a huge role in automating our end to end AI lifecycles in the network dimension. It gives us an extensive view of data across diverse data sources for the routers and switches at any moment without needing to migrate to a central repository. The platform has at large made our data management across multiple clouds much easier.

Olivia Sarr Mathews

Network Engineer in Information Technology at ActioNet, Inc. (501-1000 employees)

Vetted Review

1 year of experience

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Reviews and Ratings

Cloud Pak for Data with Netezza

Rating: 10 out of 10

Incentivized

April 14, 2023

Use Cases and Deployment Scope

Pros

the fastest execution of queries
business critical support and redundancy in design for almost 100% uptime
ties in with many other IBM offerings such as Watson
support at IBM is unbeatable with experts available before and after the sale to assist clients

Cons

This offering is currently available on prem, in Azure, and soon in AWS. GCP availability will be in the future as there is demand in the marketplace
The on premise offering starts with a Base + 0 model, which is a significant appliance. There are no 'mini' offerings as there were in the past.
At Destiny, we work closely with IBM to help our clients perform budgetary planning.

Likelihood to Recommend

Dana Rafiee

Director of Worldwide Strategic Consulting in Professional Services at Destiny Corporation (51-200 employees)

Vetted Review

20 years of experience

View profile