Ab Initio Co>Operating System vs IBM Cloud Pak for Data comparison

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Ab Initio Logo
2,220 views|1,112 comparisons
66% willing to recommend
IBM Logo
4,032 views|2,639 comparisons
84% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Ab Initio Co>Operating System and IBM Cloud Pak for Data 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 Ab Initio Co>Operating System vs. IBM Cloud Pak for Data Report (Updated: March 2024).
769,599 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
"Co>Operating System's most valuable feature is its ability to process bulk data effectively.""Ab Initio reaches the highest performance and is very flexible in processing huge amounts of data."

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"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.""The most valuable features are data virtualization and reporting.""The most valuable feature of IBM Cloud Pak for Data is the Modeler flows. The ability to develop models using a graphical approach and the capability to connect to various sources, as well as the data virtualization capabilities, allow me to easily access and utilize data that is dispersed across different sources.""What I found most helpful in IBM Cloud Pak for Data is containerization, which means it's easy to shift and leave in terms of moving to other clouds. That's an advantage of IBM Cloud Pak for Data.""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.""Scalability-wise, I rate the solution a nine or ten out of ten."

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Cons
"Co>Operating System would be improved with more integrations for less well-known technologies.""An awesome improvement would be big data solutions, for example, implementing some kind of business intelligence or neural networks for artificial intelligence."

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"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.""The product must improve its performance.""There is a solution that is part of IBM Cloud Pak for Data called Watson OpenScale. It is used to monitor the deployed models for the quality and fairness of the results. This is one area that needs a lot of improvement.""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.""The product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve.""The solution could have more connectors."

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Pricing and Cost Advice
  • "Co>Operating System's pricing is on the expensive end since it tends to be used by big enterprises."
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  • "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."
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    Questions from the Community
    Top Answer:Co>Operating System's most valuable feature is its ability to process bulk data effectively.
    Top Answer:Co>Operating System would be improved with more integrations for less well-known technologies. In the next release, Co>Operating System should include some AI capabilities on the data governance side… more »
    Top Answer:My primary use of this solution is in the banking sector to process financial movements and generate reports. I also use it in the risk area of banking to detect thefts and risky behaviors.
    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.
    Ranking
    29th
    out of 101 in Data Integration
    Views
    2,220
    Comparisons
    1,112
    Reviews
    1
    Average Words per Review
    232
    Rating
    9.0
    17th
    out of 101 in Data Integration
    Views
    4,032
    Comparisons
    2,639
    Reviews
    9
    Average Words per Review
    500
    Rating
    8.4
    Comparisons
    Also Known As
    Co>Operating System
    Cloud Pak for Data
    Learn More
    Ab Initio
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    Overview
    The Co>Operating System is an environment for building, integrating, and running enterprise business applications. The Co>Operating System is the foundation for all of Ab Initio's technologies. These technologies provide a complete and seamless application development and execution environment.

    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.

    Sample Customers
    A multinational transportation company
    Qatar Development Bank, GuideWell, Skanderborg Music Festival
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm41%
    Computer Software Company9%
    Insurance Company6%
    Educational Organization6%
    VISITORS READING REVIEWS
    Financial Services Firm26%
    Computer Software Company10%
    Manufacturing Company8%
    Government8%
    Company Size
    VISITORS READING REVIEWS
    Small Business12%
    Midsize Enterprise7%
    Large Enterprise81%
    REVIEWERS
    Small Business46%
    Large Enterprise54%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise7%
    Large Enterprise76%
    Buyer's Guide
    Ab Initio Co>Operating System vs. IBM Cloud Pak for Data
    March 2024
    Find out what your peers are saying about Ab Initio Co>Operating System vs. IBM Cloud Pak for Data and other solutions. Updated: March 2024.
    769,599 professionals have used our research since 2012.

    Ab Initio Co>Operating System is ranked 29th in Data Integration with 2 reviews while IBM Cloud Pak for Data is ranked 17th in Data Integration with 11 reviews. Ab Initio Co>Operating System is rated 9.6, while IBM Cloud Pak for Data is rated 8.0. The top reviewer of Ab Initio Co>Operating System writes "High performance and flexible solution for companies with large amounts of data". On the other hand, the top reviewer of IBM Cloud Pak for Data writes "A scalable data analytics and digital transformation tool that provides useful features and integrations". Ab Initio Co>Operating System is most compared with SSIS, Collibra Catalog, AWS Glue, Azure Data Factory and Talend Data Management Platform, whereas IBM Cloud Pak for Data is most compared with IBM InfoSphere DataStage, Azure Data Factory, Informatica Cloud Data Integration, Palantir Foundry and Denodo. See our Ab Initio Co>Operating System vs. IBM Cloud Pak for Data 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.