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

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IBM Cloud Pak for Data

Read 11 IBM Cloud Pak for Data reviews
4,083 views|2,669 comparisons
84% willing to recommend
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Oracle Data Integrator (ODI)

Read 67 Oracle Data Integrator (ODI) reviews
15,558 views|8,845 comparisons
84% willing to recommend
Comparison Buyer's Guide
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Buyer's Guide
IBM Cloud Pak for Data vs. Oracle Data Integrator (ODI)
March 2024
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).
Download the complete report
768,740 professionals have used our research since 2012.
Featured Review
Kiran Rasal
A scalable data analytics and digital transformation tool that provides useful features and integrations
Rodrigo Radtke De Souza
If it doesn't connect out-of-the-box to a specific technology, we can add a new technology into it
We use ODI to integrate all Oracle EPM suite used in our financial area. ODI is the core engine used to move data across different applications... Read more →
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.""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.""You can model the data there, connect the data models with the business processes and create data lineage processes.""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.""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.""The most valuable features are data virtualization and reporting."

More IBM Cloud Pak for Data Pros →

"It has the ability to easily load slowly changing dimensions.""The solution's initial setup is straightforward, especially compared to Mule, which our team has worked with before and found to be a bit more complex in terms of setup.""​The installation of the client ODI Studio is easy.​""Besides loading data, we do most of our transformations in ODI.""It's scalable.""I do not have to maintain a separate ETL instance. I can change the SQL when something is not performing correctly.""ODI's best features are customization, integration with other versioning tools, and the ability to define new knowledge modules.""ODI is a very accessible tool, especially since the mapping functionality has been added."

More Oracle Data Integrator (ODI) Pros →

Cons
"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 product must improve its performance.""The solution could have more connectors.""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.""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's user experience is an area that has room for improvement.""Cloud Pak would be improved with integration with cloud service providers like Cloudera.""The product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve."

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"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.""It has been very good. Just recently, I've faced an issue, but I solved it somehow. While integrating with a file, I faced an issue where I wanted output files, and I had used the text field limited quotations, but at the end of the file, there was a line breakage for the last column. So, we just removed the text field because it was not working correctly for us.""Reverse engineering is complicated and challenging to manage.""It lacks a suite of tools suitable for fully processing data and moving it into decision support warehouses.""Technical Support could be better.""ODI could improve by focusing on streamlining its features without unnecessary overhead.""Stability could be improved because some operators have issues.""I would only point out some minor bugs or glitches in the development interface (ODI studio)."

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
    Oracle GoldenGate vs. Oracle Active Dataguard
    As an Oracle DBA, while working upon high availability of your database you may stumble upon various Oracle strategic capabilities that fall into categories of Oracle Replication. Oracle provides various technologies for replication like GoldenGate, streams, and Active Dataguard. Replication being the primary purpose of all the mentioned technologies, each have different internal operational behavior. The purpose is to achieve maximum database availability, these mentioned technologies fully accommodate the requirement but internally there are differences at internal operational level. DBA's must learn and understand the functionality of both and know which technique can be used and in what scenario. Let's discuss the differences between Oracle Active Dataguard and Oracle GoldenGate. Oracle Active Dataguard is simple and the most economical solution for replication. The concept of active dataguard is a super set of traditional dataguard. It offers real time data protection and availability. Here in active replication you can place your secondary database in read-only mode, where the secondary database is available to users for limited usage like reporting and query offloading. Active Dataguard promises zero data loss across large distances without hampering performance. Other benefits to count on you can consider the capability of Active Dataguard to automatically repair the physical corruption without incurring any performance impact and availability of… Read more →
    Questions from the Community
    What do you like most about IBM Cloud Pak for Data?
    Top Answer:DataStage allows me to connect to different data sources.
    Read all 10 answers   →
    What is your experience regarding pricing and costs for IBM Cloud Pak for...
    Top Answer:The solution is expensive. It must improve its costs.
    Read all 7 answers   →
    What needs improvement with IBM Cloud Pak for Data?
    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.
    Read all 10 answers   →
    What's the difference between Oracle Integration Cloud Service and Oracle...
    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 »
    Read all 2 answers   →
    What do you like most about Oracle Data Integrator (ODI)?
    Top Answer:The most valuable feature is Data movement.
    Read all 24 answers   →
    What is your experience regarding pricing and costs for Oracle Data Integ...
    Top Answer:If you use it on any VM, it's very expensive.
    Read all 16 answers   →
    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
    IBM
    Oracle
    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 Enterprise71%
    Buyer's Guide
    IBM Cloud Pak for Data vs. Oracle Data Integrator (ODI)
    March 2024
    Free Report: IBM Cloud Pak for Data vs. Oracle Data Integrator (ODI)
    Find out what your peers are saying about IBM Cloud Pak for Data vs. Oracle Data Integrator (ODI) and other solutions. Updated: March 2024.
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    768,740 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 TIBCO Data Virtualization, 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.