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IBM Cloud Pak for Data vs Toad Data Point comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
5.5
IBM Cloud Pak for Data benefits larger companies by enhancing AI, saving time, reducing costs, and improving data-driven decisions.
Sentiment score
6.4
Toad Data Point delivers significant ROI, exceeding 100% annually, by enhancing data accuracy and efficiency for BI teams.
We have been able to drive responsible, transparent, and explainable AI workflow to operationalize AI and mitigate risk and regulatory compliance easily.
Senior Data Analyst at Wipro Limited
It is easy to collect, organize, and analyze data no matter where it is, hence being able to make data-driven decisions.
Engineer at Turner Construction
If they contain duplicate counts or null records or improper data, those records would not be reliable.
Business Analyst at a financial services firm with 10,001+ employees
Financially, I understand that teams often see a return on investment of one hundred percent plus annually from Toad Data Point through time savings and tool consultation;
Junior Data Analyst at Lumendata
 

Customer Service

Sentiment score
7.1
IBM Cloud Pak for Data support is effective, rated positively by users, though some desire faster initial responses and localization.
Sentiment score
5.9
Toad Data Point's customer service is praised for responsiveness and efficacy, though lacks AI support and real-time debugging.
Cloud Pak is a complicated system, and it's often difficult to find the right resource in IBM to help with specific issues.
Data asset management engineer at a tech services company with 1-10 employees
The customer support for IBM Cloud Pak for Data is great and responsive.
Engineer at Turner Construction
The response time for IBM's technical support is excellent.
Sales Director at Jordan Business Systems
The quality of their support is excellent, and the speed is very good, too.
They resolved my issue within a day which was specifically around licensing.
ERP Manager at a tech services company with 5,001-10,000 employees
Overall, the service is excellent.
Senior Oracle Database Administrator at ODB Training and Software Services LLP
 

Scalability Issues

Sentiment score
6.6
IBM Cloud Pak for Data impresses users with its scalable infrastructure, efficiently handling large data and maintaining performance without downtime.
Sentiment score
6.7
Toad Data Point is scalable, efficiently connects databases, but Mac licensing is costly and large datasets may slow operations.
I have not noticed any downtime or lagging, especially when dealing with large data, so it is relatively very scalable.
Senior Data Analyst at Wipro Limited
IBM Cloud Pak for Data's scalability is very good; it can be used by any size of organization.
Engineer at Turner Construction
It does not scale well when considering the high cost of the Mac license.
ERP Manager at a tech services company with 5,001-10,000 employees
Some aspects, like scalability, could be improved to avoid writing different codes for each database.
Scalability has not been an issue because so far we have dumped about a billion records per year, and I do not see any issues as such.
Senior Data Scientist at a tech vendor with 10,001+ employees
 

Stability Issues

Sentiment score
7.8
IBM Cloud Pak for Data is stable with good performance, though opinions vary on consistency due to its complexity.
Sentiment score
7.6
Toad Data Point is stable but may experience minor issues with Windows updates and lag during large data exports.
The overall performance of IBM Cloud Pak for Data, particularly with IBM DataStage for ETL processes, is very good.
Sales Director at Jordan Business Systems
I often feel instability locally because it is a heavy application, and I feel some slowness in the response of the user interface.
Senior Data Scientist at a tech vendor with 10,001+ employees
 

Room For Improvement

IBM Cloud Pak for Data struggles with infrastructure demands, deployment size, integration, and requires technical support and simplified experiences.
Toad Data Point needs UI modernization, performance optimization, better collaboration, AI features, tool integration, and reduced licensing costs.
Setting up the hybrid and multi-cloud environments is a long job and it takes time.
Senior Data Analyst at Wipro Limited
IBM Cloud Pak for Data can be improved because processing speeds are sometimes slow.
Engineer at Turner Construction
To improve IBM Cloud Pak for Data, I suggest more out-of-the-box integration.
Senior Project Manager at EY
Better data visualization tools, improved integrations with modern tools, and enhanced collaboration features such as shared query libraries and real-time collaborations would be beneficial.
Senior Oracle Database Administrator at ODB Training and Software Services LLP
Toad Data Point should include more features for utilizing AI, which can automatically perform many tasks.
The application is heavy on my local PC; however, if I connect to a remote server, I think it works better.
Senior Data Scientist at a tech vendor with 10,001+ employees
 

Setup Cost

IBM Cloud Pak for Data is costly for small businesses but affordable and competitive for large enterprises with negotiable pricing.
Toad Data Point has competitive pricing, but Mac licenses cost more; security benefits influence purchasing based on budget and needs.
The setup cost is very expensive.
Data asset management engineer at a tech services company with 1-10 employees
Regarding my experience with pricing, setup cost, and licensing, for a small organization, the price might be relatively high, but for huge enterprises such as ours, the price is relatively affordable.
Senior Data Analyst at Wipro Limited
The list price is high, but the flexibility in pricing is adequate.
Solution Manager at Intalion
The Mac licenses are expensive, costing 1,600 dollars each.
ERP Manager at a tech services company with 5,001-10,000 employees
The pricing for Toad Data Point is where it gets into trouble.
The pricing is cost-effective; it is neither too cheap nor too expensive, it's a good value.
Senior Oracle Database Administrator at ODB Training and Software Services LLP
 

Valuable Features

IBM Cloud Pak for Data offers robust governance, integration, AI lifecycle, and cloud flexibility with praised data management features.
Toad Data Point offers seamless data connectivity, automation, and AI analysis, enhancing productivity and simplifying data management tasks.
From there, I can work my way into a more granular level, applying all of that information on top of my actual data to understand what my data looks like, where it came from, and where it went wrong, managing it throughout the cycle.
Data asset management engineer at a tech services company with 1-10 employees
The benefits of choosing IBM Cognos, in addition to saving on cost, include having institutional knowledge about maintaining this infrastructure and enough people who have developed on Cognos in the past, which creates comfort in its use.
EDW Manager at a university with 1,001-5,000 employees
We have been able to save approximately 80 percent of our time. We are not doing data analysis manually, so this relieves our data department of dealing with data.
Senior Data Analyst at Wipro Limited
I am able to have cross-connection queries, blend and join data from multiple different databases in a single query, with data profiling, automation and scheduling, and export and reporting tools.
Junior Data Analyst at Lumendata
I utilize automations in my database with Ansible automations, performing automation data processing units and deployment, which has a positive impact, increasing efficiency and reducing human error, as well as saving time, thus improving productivity and scalability compared to human errors.
Senior Oracle Database Administrator at ODB Training and Software Services LLP
There is a feature called Toad Automation, which is a valuable tool.
 

Categories and Ranking

IBM Cloud Pak for Data
Ranking in Data Integration
19th
Average Rating
8.2
Reviews Sentiment
6.2
Number of Reviews
19
Ranking in other categories
Data Virtualization (3rd)
Toad Data Point
Ranking in Data Integration
21st
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
9
Ranking in other categories
Data Preparation Tools (3rd)
 

Mindshare comparison

As of May 2026, in the Data Integration category, the mindshare of IBM Cloud Pak for Data is 1.2%, down from 1.8% compared to the previous year. The mindshare of Toad Data Point is 0.8%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
IBM Cloud Pak for Data1.2%
Toad Data Point0.8%
Other98.0%
Data Integration
 

Featured Reviews

ArchanaSingh - PeerSpot reviewer
Senior Data Analyst at Wipro Limited
Collaborative data platform has transformed analytics and now drives faster decisions
The best features IBM Cloud Pak for Data offers include robust data visualization, centralized data analytics, data reliability, and compatibility with hybrid and multi-cloud environments. The compatibility with hybrid and multi-cloud environments has helped our organization as data visualization is very simple. Migrations, reading, analysis, and 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 easily. I find this cloud excellent for visualizing and managing data across networks and also fulfilling fastest data storage, making it less complex and completely improving productivity in my organization. Everything is managed in multiple environments without any problem. IBM Cloud Pak for Data has positively impacted my organization, and I have noticed some improvement since we started using this tool. Configuration with hybrid and multi-cloud environments has been very seamless and easy. It is a robust platform capable of working with multiple data sources where we gain insights to make data-driven decisions easily. It automates data analysis for quick and better performance. We have seen improvements in analysis and data correction from multiple sources. Our productivity in the company is growing, thanks to the data analysis team. We have also seen a robust hybrid and multi-cloud access system working seamlessly. I can share specific outcomes that show how productivity has grown and how performance has improved since the data is automated, and the analysis is done much faster, saving us a lot of time. We have been able to save approximately 80 percent of our time. We are not doing data analysis manually, so this relieves our data department of dealing with data. We have been relieved of a lot of duties, and now we are able to focus on other strategic tasks. Our productivity has greatly increased since we are able to make concrete and data-driven decisions easily.
Sudunagunta Bhavya Lekha - PeerSpot reviewer
Junior Data Analyst at Lumendata
Drag-and-drop workflows have accelerated cross-database analysis and simplified daily reporting
I consider user interface modernization in Toad Data Point to be an area for improvement; it could be enhanced with a more modern, web-based look and smoother navigation, focusing on better UX and dashboard customization. Real-time collaboration could benefit from trying Git-style integration, which would strengthen team collaboration features. Performance with large data sets sometimes slows down our workflows, so implementing a better optimization engine specifically for big data workflows could enhance functionality, along with improvements in cloud-native deployment for better browser access. For the dashboarding feature, I believe Toad Data Point could improve by offering more interactive dashboards and advanced visualizations beyond the current basic charts and pivots. Implementing capabilities such as drill-down, interactive filters, and dynamic parameter selections would align more with BI-style interactivity. Visualizations compared to tools such as Microsoft Power BI or Tableau are quite limited, so enhancing this area with cloud-hosted interactive dashboards and seamless auto-refresh options would greatly improve user experience.
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Manufacturing Company
10%
Computer Software Company
7%
University
5%
Financial Services Firm
20%
Healthcare Company
9%
Comms Service Provider
8%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Large Enterprise15
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise5
 

Questions from the Community

What is your experience regarding pricing and costs for IBM Cloud Pak for Data?
Regarding the price, I know IBM is traditionally relatively expensive in the Hungarian market, but we work together with the local IBM sales team, and on a project basis they manage to negotiate th...
What needs improvement with IBM Cloud Pak for Data?
I see room for improvement in IBM Cloud Pak for Data, as it lacked the lake house. However, IBM issued the new product which is Watsonx.data. This is a new product for IBM and it provides all the m...
What is your primary use case for IBM Cloud Pak for Data?
I believe IBM Cloud Pak for Data is suitable for mid-size to bigger companies. It is not tailored for smaller customers. My customers use IBM DataStage for ETL processes. One client has implemented...
What is your experience regarding pricing and costs for Toad Data Point?
The pricing is cost-effective; it is neither too cheap nor too expensive, it's a good value.
What needs improvement with Toad Data Point?
Areas for improvement in Toad Data Point usage could include a better UI interface, building in AI assistance, and faster performance for large databases, especially since accessing a terabyte of d...
What is your primary use case for Toad Data Point?
My use case is mainly for business analysis, and I also use it for some parts of machine learning and AI, and in some cases, I use it for healthcare purposes.
 

Also Known As

Cloud Pak for Data
No data available
 

Overview

 

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival
Concordia University
Find out what your peers are saying about IBM Cloud Pak for Data vs. Toad Data Point and other solutions. Updated: April 2026.
893,221 professionals have used our research since 2012.