Oracle Data Integrator (ODI) vs SAP Data Hub vs WhereScape RED comparison

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Executive Summary

We performed a comparison between Oracle Data Integrator (ODI), SAP Data Hub, and WhereScape RED based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration.
To learn more, read our detailed Data Integration Report (Updated: March 2024).
765,386 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 product has an ELT approach.""It has the ability to easily load slowly changing dimensions.""Most of the functions are very straightforward, like the data model, mapping, package, and load plan. Thus, a new user could get started very fast.""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.""It's completely user-friendly.""​The installation of the client ODI Studio is easy.​""In our DW/BI solution, ODI is the main tool to integrate the data in a daily batch way."

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"SAP is one of the most seamless ERPs that have integrated SAP archiving within Excel. I have not seen this with any other database.""The most valuable feature is the S/4HANA 1909 On-Premise""Its connection to on-premise products is the most valuable. We mostly use the on-premise connection, which is seamless. This is what we prefer in this solution over other solutions. We are using it the most for the orchestration where the data is coming from different categories. Its other features are very much similar to what they are giving us in open source. Their push-down approach is the most advantageous, where they push most of the processing on to the same data source. This means that they have a serverless kind of thing, and they don't process the data inside a product such as Data Hub. They process the data from where the data is coming out. If it is coming from HANA, to capture the data or process it for analytics, orchestration, or management, they go to the HANA database and give it out. They don't process it on Data Hub. This push-down approach increases the processing speed a little bit because the data is processed where it is sitting. That's the best part and an advantage. I have used another product where they used to capture the data first and then they used to process it and give it. In Data Hub, it is in reverse. They process it first and give it, and then they put their own manipulations. They lead in terms of business functions. No other solution has business functions already implemented to perform business analysis. They have a lot of prebuilt business functions for machine learning and orchestration, which we can use directly to get an analysis out from the existing data. Most of the data is sitting as enterprise data there. That's a major advantage that they have."

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"Support is absolutely excellent, efficient, and timely.""Their support staff are very knowledgeable, courteous, and professional. I feel their support staff go above and beyond to assure their customers are satisfied.""Quickly develops a data warehouse for our organization with documentation and can track back/forward features.""Data transformations and rollups are easy to accomplish.""WhereScape RED has improved our business's ability to generate needed reporting without requiring a large team of developers to manually code all of the necessary plumbing.""The tool supports multiple target update methods.""It has a built-in automatic scheduling environment.""WhereScape is really helpful in terms of architecture data. Everything is one of automation. Two people can do thousands of tables in one day or two. It saves a lot of time."

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Cons
"We used a third party to do the implementation of ODI.""The solution lacks some functions and features.""If there was an add-on tool to hide the performance issues and solve them for me, then I might be interested in that as it would provide me value.""The resource management aspect of the solution could be improved.""Technical Support could be better.""The initial setup is a bit complex compared to other tools.""The initial setup is complex, especially if you also have to install a console.""I would only point out some minor bugs or glitches in the development interface (ODI studio)."

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"The company has everything offshore.""In 2018, connecting it to outside sources, such as IoT products or IoT-enabled big data Hadoop, was a little complex. It was not smooth at the beginning. It was unstable. It took a lot of time for the initial data load. Sometimes, the connection broke, and we had to restart the process, which was a major issue, but they might have improved it now. It is very smooth with SAP HANA on-premise system, SAP Cloud Platform, and SAP Analytics Cloud. It could be because these are their own products, and they know how to integrate them. With Hadoop, they might have used open-source technologies, and that's why it was breaking at that time. They are providing less embedded integration because they want us to use their other products. For example, they don't want to go and remove SAP Analytics Cloud and put everything in Data Hub. They want us to use SAP Analytics Cloud somewhere else and not inside the Data Hub. On the integration part, it lacks real-time analytics, and it is slow. They should embed the SAP Analytics Cloud inside Data Hub or support some kind of analysis. They do provide some analysis, but it is not extensive. They are moreover open source. So, we need a lot of developers or data scientists to go in and implement Python algorithms. It would be better if they can provide their own existing algorithms and give some connections and drop-down menus to go and just configure those. It will make things really quick by increasing the embedded integrations. It will also improve the process efficiency and processing power. Its performance needs improvement. It is a little slow. It is not the best in the market, and there are other products that are much better than this. In terms of technology and performance, it is a little slow as compared to Microsoft and other data orchestration products. I haven't used other products, but I have read about those products, their settings, and the milliseconds that they do. In Azure Purview, they say that they can copy, manage, or transform the data within milliseconds. They say that they can transform 100 gigabytes of data within three to five seconds, which is something SAP cannot do. It generally takes a lot of time to process that much amount of data. However, I have never tested out Azure.""Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."

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"Improve the object renaming ability (it works, but it could be more automated).""Technical support isn't the best.""Customization could be better.""The scheduled jobs which are run by the WhereScape scheduler seem to be a strangely separate animal. Unlike all other WhereScape objects, jobs cannot be added to WhereScape projects. Also, unlike all other objects, jobs also cannot be deleted using a WhereScape deployment application.""No support for change data capture or delta detection - that must be custom coded .""Project-based searching of data objects in the data warehouse browser needs to be improved.""They need a more robust support center. It has been a bit difficult to find solutions to problems that are out-of-the-box.""The ability to execute SSIS projects within WhereScape would be nice because we have a lot of packages that are too cumbersome to recreate."

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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 →

  • "The Cloud is very expensive, but SAP HANA previous service is okay."
  • More SAP Data Hub Pricing and Cost Advice →

  • "Factor in the price of specialized consulting who know this product. They're hard to find and expensive."
  • "ROI is at least 10 times."
  • "Speed to market of a warehouse solution at a relatively inexpensive price point."
  • "Our company purchased a corporate unlimited license."
  • More WhereScape RED Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Oracle Integration Cloud Service has a fairly easy initial setup, and Oracle offers initial support and guidance for… more »
    Top Answer:The solution is very expensive. If it is cheaper, more people can use it. Oracle licensing is complex to understand. We… more »
    Top Answer:SAP is one of the most seamless ERPs that have integrated SAP archiving within Excel. I have not seen this with any… more »
    Top Answer:We moved from Oracle. If you're aware of your monitoring system, the RPU market, and the managed system, you should move… more »
    Top Answer:I technically handle the database, like cycle management projects. When transaction data comes in, we see it based on… more »
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    Also Known As
    ODI
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    Overview

    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."

    The SAP® Data Hub solution enables sophisticated data operations management. It gives you the capability and flexibility to connect enterprise data and Big Data and gain a deep understanding of data and information processes across sources and systems throughout the distributed landscape. The unified solution provides visibility and control into data opportunities, integrating cloud and on-premise information and driving data agility and business value. Distributed processing power enables greater speed and efficiency.

    WhereScape is data warehouse software that automates the Data Warehouse lifecycle. From implementation to maintenance, WhereScape will ensure your data warehouse projects are completed up to 5x faster than manual coding.

    Sample Customers
    Griffith University, Kansas City Power & Light, Keste, Raymond James Financial, Valdosta State University
    Kaeser Kompressoren, HARTMANN
    British American Tobacco, Cornell University, Allianz Benelux, Finnair, Solarwinds and many more.
    Top Industries
    REVIEWERS
    Financial Services Firm25%
    Comms Service Provider11%
    Computer Software Company8%
    Transportation Company6%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company14%
    Government8%
    Manufacturing Company8%
    VISITORS READING REVIEWS
    Computer Software Company14%
    Financial Services Firm12%
    Manufacturing Company12%
    Government7%
    REVIEWERS
    Healthcare Company20%
    University20%
    Manufacturing Company20%
    Energy/Utilities Company13%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Government10%
    Insurance Company10%
    Computer Software Company8%
    Company Size
    REVIEWERS
    Small Business30%
    Midsize Enterprise16%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise12%
    Large Enterprise74%
    REVIEWERS
    Small Business29%
    Midsize Enterprise19%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise13%
    Large Enterprise72%
    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.
    765,386 professionals have used our research since 2012.