IBM Cloud Pak for Data vs Informatica Enterprise Data Lake comparison

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Executive Summary

We performed a comparison between IBM Cloud Pak for Data and Informatica Enterprise Data Lake based on real PeerSpot user reviews.

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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"You can model the data there, connect the data models with the business processes and create data lineage processes.""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.""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.""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.""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.""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."

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"The process of using the tool's scalability option is well documented."

More Informatica Enterprise Data Lake Pros →

Cons
"The solution's user experience is an area that has room for improvement.""The product must improve its performance.""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.""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.""The solution could have more connectors.""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.""The technical support could be a little better."

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"Informatica Enterprise Data Lake's setup process was complex since it doesn't support a lot of real-time systems."

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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 licenses attached to the solution are highly priced."
  • More Informatica Enterprise Data Lake 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 process of using the tool's scalability option is well documented.
    Top Answer:The licenses attached to the solution are highly priced. Informatica has licensing models for every product and for every feature, like the web service feature, which is something my company doesn't… more »
    Top Answer:Governance, data dictionary, and data cataloging are not available in Informatica Enterprise Data Lake. A lot of businesses are facing issues related to understanding the area revolving around… more »
    Ranking
    14th
    out of 94 in Data Integration
    Views
    4,189
    Comparisons
    2,763
    Reviews
    10
    Average Words per Review
    546
    Rating
    8.3
    39th
    out of 94 in Data Integration
    Views
    447
    Comparisons
    426
    Reviews
    1
    Average Words per Review
    832
    Rating
    7.0
    Comparisons
    Also Known As
    Cloud Pak for Data
    Informatica Intelligent Data Lake, Intelligent Data Lake
    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.

    The Intelligent Data Lake enables raw big data to be systematically transformed into fit-for-purpose data sets for a variety of data consumers. Data scientists and analysts can quickly find the data they’re looking for using semantic and faceted search. They can see data profiles, lineage, and other relationships to know whether they can trust the data and whether it’s fit-for-use in their analytic projects. 

    Sample Customers
    Qatar Development Bank, GuideWell, Skanderborg Music Festival
    Information Not Available
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm25%
    Computer Software Company11%
    Government9%
    Manufacturing Company8%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Computer Software Company11%
    Manufacturing Company11%
    Healthcare Company7%
    Company Size
    REVIEWERS
    Small Business46%
    Large Enterprise54%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise7%
    Large Enterprise76%
    VISITORS READING REVIEWS
    Small Business11%
    Midsize Enterprise11%
    Large Enterprise77%
    Buyer's Guide
    Data Integration
    March 2024
    Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    IBM Cloud Pak for Data is ranked 14th in Data Integration with 11 reviews while Informatica Enterprise Data Lake is ranked 39th in Data Integration with 1 review. IBM Cloud Pak for Data is rated 8.0, while Informatica Enterprise Data Lake is rated 7.0. 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 Informatica Enterprise Data Lake writes "A scalable tool that needs a lot of maintenance due to its unstable nature". IBM Cloud Pak for Data is most compared with IBM InfoSphere DataStage, Azure Data Factory, Informatica Cloud Data Integration, Palantir Foundry and Denodo, whereas Informatica Enterprise Data Lake is most compared with Palantir Foundry, Oracle Data Integrator (ODI), IBM InfoSphere DataStage and Azure Data Factory.

    See our list of best Data Integration vendors.

    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.