IBM Cloud Pak for Data vs Toad Data Point comparison

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Executive Summary

We performed a comparison between IBM Cloud Pak for Data and Toad Data Point based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed IBM Cloud Pak for Data vs. Toad Data Point Report (Updated: May 2024).
771,157 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The most valuable features of IBM Cloud Pak for Data are the Watson Studio, where we can initiate more groups and write code. Additionally, Watson Machine Learning is available with many other services, such as APIs which you can plug the machine learning models.""You can model the data there, connect the data models with the business processes and create data lineage processes.""Its data preparation capabilities are highly valuable.""It is a scalable solution, and we have had no issues with its scalability in our company. I rate the solution's scalability a nine out of ten.""Scalability-wise, I rate the solution a nine or ten out of ten.""One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance.""Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF.""DataStage allows me to connect to different data sources."

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"The Connectivity and Connection Manager supports a broad number of connection types, and it is trivial for end-users to set up their own connections to sources.""The most valuable features of Toad Data are you could write a parameterized query and it wouldn't error out, it would give you the parameters that you could input. The auto-formatting feature is useful because it was great for keeping your queries neat and understandable. The auto comment, and uncomment toggles that you could do were convenient."

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Cons
"The product must improve its performance.""The solution's user experience is an area that has room for improvement.""The solution could have more connectors.""Cloud Pak would be improved with integration with cloud service providers like Cloudera.""One challenge I'm facing with IBM Cloud Pak for Data is native features have been decommissioned, such as XML input and output. Too many changes have been made, and my company has around one hundred thousand mappings, so my team has been putting more effort into alternative ways to do things. Another area for improvement in IBM Cloud Pak for Data is that it's more complicated to shift from on-premise to the cloud. Other vendors provide secure agents that easily connect with your existing setup. Still, with IBM Cloud Pak for Data, you have to perform connection migration steps, upgrade to the latest version, etc., which makes it more complicated, especially as my company has XML-based mappings. Still, the XML input and output capabilities of IBM Cloud Pak for Data have been discontinued, so I'd like IBM to bring that back.""One thing that bugs me is how much infrastructure Cloud Pak requires for the initial deployment. It doesn't allow you to start small. The smallest permitted deployment is too big. It's a huge problem that prevents us from implementing the solution in many scenarios.""The technical support could be a little better.""The interface could improve because sometimes it becomes slow. Sometimes there is a delay between clicks when using the software, which can make the development process slow. It can take a few seconds to complete one action, and then a few more seconds to do the next one."

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"On the scheduling server, some scheduled reports just sit there and never execute for the first time. After manually executing the first time, they run with no issues.""Toad Data could improve by having additional features, such as query prediction. This could help someone who's not the strongest programmer. If the software could help them write queries correctly it would be very helpful, especially for small development teams or teams that lack the input skills necessary to write and program efficiently."

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Pricing and Cost Advice
  • "I think that this product is too expensive for smaller companies."
  • "I don't have the exact licensing cost for IBM Cloud Pak for Data, as my company is still finalizing requirements, including monthly, yearly, and three-year licensing fees. Still, on a scale of one to five, I'd rate it a three because, compared to other vendors, it's more complicated."
  • "Cloud Pak's cost is a little high."
  • "IBM Cloud Pak for Data is expensive. If we include the training time and the machine learning, it's expensive. The cost of the execution is more reasonable."
  • "For the licensing of the solution, there is a yearly payment that needs to be made. Also, since it is expensive, cost-wise, I rate the solution an eight or nine out of ten."
  • "It's quite expensive."
  • "The solution is expensive."
  • More IBM Cloud Pak for Data Pricing and Cost Advice →

  • "The cost of this product is reasonable."
  • "The price of Toad Data Point was approximately $500 annually."
  • More Toad Data Point Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:DataStage allows me to connect to different data sources.
    Top Answer:The product must improve its performance. We see typical cloud-related issues in the solution. IBM can still focus more on keeping the performance up and keeping it 100% available all the time.
    Top Answer:The most valuable features of Toad Data are you could write a parameterized query and it wouldn't error out, it would give you the parameters that you could input. The auto-formatting feature is… more »
    Top Answer:The price of Toad Data Point was approximately $500 annually.
    Top Answer:Toad Data could improve by having additional features, such as query prediction. This could help someone who's not the strongest programmer. If the software could help them write queries correctly it… more »
    Ranking
    17th
    out of 101 in Data Integration
    Views
    4,032
    Comparisons
    2,639
    Reviews
    9
    Average Words per Review
    500
    Rating
    8.4
    38th
    out of 101 in Data Integration
    Views
    767
    Comparisons
    644
    Reviews
    1
    Average Words per Review
    513
    Rating
    8.0
    Comparisons
    Also Known As
    Cloud Pak for Data
    Learn More
    Overview

    IBM Cloud Pak® for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data to infuse AI throughout their organizations. Cloud-native by design, the platform unifies market-leading services spanning the entire analytics lifecycle. From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information architecture you need to implement AI successfully.

    Building on the streamlined hybrid-cloud foundation of Red Hat® OpenShift®, IBM Cloud Pak for Data takes advantage of the underlying resource and infrastructure optimization and management. The solution fully supports multicloud environments such as Amazon Web Services (AWS), Azure, Google Cloud, IBM Cloud™ and private cloud deployments. Find out how IBM Cloud Pak for Data can lower your total cost of ownership and accelerate innovation.

    Toad Data Point is a cross-platform, self-service, data-integration tool that simplifies data access, preparation and provisioning. It provides nearly limitless data connectivity, desktop data integration, visual query building and workflow automation.
    Sample Customers
    Qatar Development Bank, GuideWell, Skanderborg Music Festival
    Concordia University
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm26%
    Computer Software Company11%
    Manufacturing Company8%
    Government8%
    VISITORS READING REVIEWS
    Financial Services Firm36%
    Healthcare Company12%
    Government8%
    Insurance Company7%
    Company Size
    REVIEWERS
    Small Business46%
    Large Enterprise54%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise8%
    Large Enterprise76%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise5%
    Large Enterprise86%
    Buyer's Guide
    IBM Cloud Pak for Data vs. Toad Data Point
    May 2024
    Find out what your peers are saying about IBM Cloud Pak for Data vs. Toad Data Point and other solutions. Updated: May 2024.
    771,157 professionals have used our research since 2012.

    IBM Cloud Pak for Data is ranked 17th in Data Integration with 11 reviews while Toad Data Point is ranked 38th in Data Integration with 2 reviews. IBM Cloud Pak for Data is rated 8.0, while Toad Data Point is rated 9.0. The top reviewer of IBM Cloud Pak for Data writes "A scalable data analytics and digital transformation tool that provides useful features and integrations". On the other hand, the top reviewer of Toad Data Point writes "Easy to learn, good connectivity to multiple data sources, and helpful supprt". IBM Cloud Pak for Data is most compared with IBM InfoSphere DataStage, Azure Data Factory, Informatica Cloud Data Integration, Palantir Foundry and Denodo, whereas Toad Data Point is most compared with SSIS, Alteryx, SAS Enterprise Guide, Oracle Data Integrator (ODI) and Azure Data Factory. See our IBM Cloud Pak for Data vs. Toad Data Point report.

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    We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.