IBM Cloud Pak for Data vs Oracle Data Integrator (ODI) comparison

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4,083 views|2,669 comparisons
84% willing to recommend
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15,558 views|8,845 comparisons
84% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between IBM Cloud Pak for Data and Oracle Data Integrator (ODI) 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. Oracle Data Integrator (ODI) Report (Updated: March 2024).
768,578 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
"Scalability-wise, I rate the solution a nine or ten out of ten.""DataStage allows me to connect to different data 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.""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.""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.""Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF.""Its data preparation capabilities are highly valuable.""One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."

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"​The installation of the client ODI Studio is easy.​""It allows us to use many languages to develop and to integrate practically all the technologies of the Oracle suite as well as those from non-Oracle vendors.""ODI is a very accessible tool, especially since the mapping functionality has been added.""The product has an ELT approach.""The initial setup is easy.""It can integrate with more recent databases like Cassandra, Hadoop, and other more recent Big Data databases.""It's scalable.""I do not have to maintain a separate ETL instance. I can change the SQL when something is not performing correctly."

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Cons
"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.""The tool depends on the control plane, an OpenShift container platform utilized as an orchestration layer...So, we have communicated this issue to IBM and asked if it is feasible to adapt the solution to work on a Kubernetes platform that we support.""The solution's user experience is an area that has room for improvement.""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.""The product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve.""Cloud Pak would be improved with integration with cloud service providers like Cloudera."

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"It would be really good if Oracle considered enabling the tool to integrate with some other platforms that are deprecated simply for commercial reasons""The tool should improve its pricing. It prevents the application of Oracle ODI on small and medium projects in countries like Croatia, Germany, or the US. While there are no technological obstacles to using it, the high price makes it unfeasible for projects with smaller budgets.""ODI could improve by focusing on streamlining its features without unnecessary overhead.""The price needs to be lowered. It's too expensive.""I would only point out some minor bugs or glitches in the development interface (ODI studio).""ODI could improve by being more user-friendly. Informatica, which is also an ETL tool, similar to ODI, but Informatica is very user-friendly, easy to use, and simple to integrate, compared to ODI. ODI has many features, put them all together, and sometimes we get confused about which ones to use, which ones not to use.""The interface of ODI could be improved. For example, navigating and finding functions can be difficult. For example, you have to know which step you need to go to look at where your job status is. The logical step is a bit complex compared to other tools. It's much easier to get a graphical view, but with ODI, it's graphical, plus you have to know all the other pieces that fit around it. You have to think about the logical and physical aspects.""An area for improvement in Oracle Data Integrator (ODI) is real-time integration. Currently, my company has a workaround to implement real-time integration, an area on which Oracle must focus more. Real-time integration should be easier in Oracle Data Integrator (ODI). Another area for improvement in Oracle Data Integrator (ODI) is integration with more publishers and subscribers rather than just database integrations."

More Oracle Data Integrator (ODI) Cons →

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 →

  • "Being an ODI developer, I never had to pay for this product. I know that the pricing/licensing is not really low, but the product is really good."
  • "We found that the cost compared to other integration tools is a little high, but the solution works great."
  • "The solution is expensive because of the model they use. The cost is for the license and for support."
  • "ODI comes included when buying the cloud version of the Oracle database license."
  • "There is a standard license to use the solution but there are other costs in addition, such as hardware and operating system."
  • "Per user, it is $900 USD per year, though they will give some discount. However, even a 60% to 70% of discount for each won't help us much. On top of that, there is the perpetual license you must pay at the outset."
  • "I have yet to determine the exact figure for Oracle Data Integrator (ODI) pricing, but it has lower pricing than Informatica."
  • "The Oracle Data Integrator (ODI) pricing isn't expensive, but it's not cheap, so it's in the middle. I'd rate the pricing as three out of five."
  • More Oracle Data Integrator (ODI) Pricing and Cost Advice →

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    Comparison Review
    Anonymous User
    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:Oracle Integration Cloud Service has a fairly easy initial setup, and Oracle offers initial support and guidance for those who might find the setup to be challenging. There are complications that come… more »
    Ranking
    15th
    out of 100 in Data Integration
    Views
    4,083
    Comparisons
    2,669
    Reviews
    10
    Average Words per Review
    546
    Rating
    8.3
    4th
    out of 100 in Data Integration
    Views
    15,558
    Comparisons
    8,845
    Reviews
    16
    Average Words per Review
    429
    Rating
    8.2
    Comparisons
    Also Known As
    Cloud Pak for Data
    ODI
    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.

    Oracle Data Integrator (ODI) is a data integration software solution that provides a unified infrastructure to streamline data and application integration projects. It uses a powerful design approach to data integration, which separates the declarative rules from the implementation details. The solution is based on a unique ELT (Extract Load Transform) architecture, eliminating the need for a standalone ETL server and proprietary engine. 

    Oracle Data Integrator Features

    ODI has many valuable key features. Some of the most useful ones include:

    • Automatic documentation generation
    • Visualization of data flows in the interfaces
    • Customization of generated code
    • Automatic reverse-engineering of existing applications or databases
    • Graphical development and maintenance of transformation and integration interfaces
    • Robust data integrity control features, assuring the consistency and correctness of data
    • Powerful core differentiators
    • Heterogeneous ELT, declarative design and knowledge modules
    • Flexibility and modularity
    • Oracle Data Integrator repository
    • Topology navigator
    • Operator Navigator
    • Security Navigator
    • Integrator Console
    • ODI domains

    Oracle Data Integrator Benefits

    There are many benefits to implementing ODI. Some of the biggest advantages the solution offers include:

    • Efficient architecture: Oracle Data Integrator has a simple architecture that utilizes the source and target servers to perform complex transformations, making it an efficient solution.
    • Supports all platforms: ODI gives you platform independence by supporting all platforms, hardware, and OSes with the same software.
    • Cost-effective: Oracle Data Integrator reduces costs associated with initial hardware and software acquisition, and also decreases maintenance costs because it eliminates the need for an ETL Server and an ETL engine.
    • Automatic detection of faulty data: By using ODI, faulty data is recycled before insertion in the target application, providing you with a data quality firewall.
    • Easy development and maintenance: With a low learning curve, Oracle Data Integrator increases developer productivity while facilitating ongoing maintenance. 
    • Active integration: ODI includes all styles of data integration: data-based, event-based and service-based.

    Reviews from Real Users

    Below are some reviews and helpful feedback written by PeerSpot users currently using the Oracle Data Integrator (ODI) solution.

    Brian D., Business Process and Strategy Specialist Advisor at NTTData, says, “The Knowledge Module (KM) is my favorite feature of ODI. This is where I learned how to use variables to make jobs dynamic. I took that knowledge and created a KM that would go into iTunes and pull the sales of eBooks. Making something that is reusable, like a KM, is important to not only reduce build time but also maintenance in the future.”

    Ashok S., Applications Support Manager at a marketing services firm, mentions, "The most valuable features of ODI are the ease of development, you can have a template, and you can onboard transfer very quickly. There's a lot of knowledge modules available that we can use. If you want to connect, for example, a Sibyl, SQL, Oracle, or different products, we don't have to develop them from scratch. They are available, but if it's not, we can go into the marketplace and see if there's a connector there. Having the connector available reduces the amount of hard work needed. We only have to put the inputs and outputs. In some of the products, we use there is already integration available for ODI, which is helpful."

    Sample Customers
    Qatar Development Bank, GuideWell, Skanderborg Music Festival
    Griffith University, Kansas City Power & Light, Keste, Raymond James Financial, Valdosta State University
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm26%
    Computer Software Company11%
    Manufacturing Company8%
    Government8%
    REVIEWERS
    Financial Services Firm24%
    Comms Service Provider11%
    Computer Software Company8%
    Manufacturing Company5%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company14%
    Government8%
    Manufacturing Company8%
    Company Size
    REVIEWERS
    Small Business46%
    Large Enterprise54%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise7%
    Large Enterprise76%
    REVIEWERS
    Small Business32%
    Midsize Enterprise16%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise72%
    Buyer's Guide
    IBM Cloud Pak for Data vs. Oracle Data Integrator (ODI)
    March 2024
    Find out what your peers are saying about IBM Cloud Pak for Data vs. Oracle Data Integrator (ODI) and other solutions. Updated: March 2024.
    768,578 professionals have used our research since 2012.

    IBM Cloud Pak for Data is ranked 15th in Data Integration with 11 reviews while Oracle Data Integrator (ODI) is ranked 4th in Data Integration with 67 reviews. IBM Cloud Pak for Data is rated 8.0, while Oracle Data Integrator (ODI) is rated 8.2. 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 Oracle Data Integrator (ODI) writes "Straightforward to implement, scalable, and has good stability and documentation, but technical support could still be improved". IBM Cloud Pak for Data is most compared with IBM InfoSphere DataStage, Azure Data Factory, Informatica Cloud Data Integration, Palantir Foundry and Talend Data Fabric, whereas Oracle Data Integrator (ODI) is most compared with Oracle Integration Cloud Service, SSIS, Informatica PowerCenter, Azure Data Factory and Oracle GoldenGate. See our IBM Cloud Pak for Data vs. Oracle Data Integrator (ODI) 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.