Azure Data Factory vs Oracle Data Integrator (ODI) comparison

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26,170 views|20,469 comparisons
91% willing to recommend
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15,558 views|8,845 comparisons
84% willing to recommend
Comparison Buyer's Guide
Executive Summary
Updated on Jan 9, 2023

We performed a comparison between Azure Data Factory and Oracle Data Integrator ODI based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.

  • Ease of Deployment: Users of both solutions feel installation and deployment is simple and straightforward.
  • Features: Users of both products are happy with their stability and scalability.

    Users of Azure Data Factory like the solution’s interface, pipeline orchestration, built-in connectors, data transformations, and data copy templates. Users would like to see machine learning options and better integration with AWS, Oracle, and other products.

    Users of Oracle Data Integrator (ODI) like that the solution is lightweight, easy to use, and integrates well with most systems. Many users would like to see visibility and automation improve to further enhance the solution.
  • Pricing: Some Azure Data Factory users think the pricing is fair, and others feel the pricing could be better. Users of ODI say the pricing is expensive.
  • Service and Support: Users of both solutions are satisfied with the service and support.
  • ROI: Users of both solutions report a positive ROI.

Comparison Results: The main difference between the two products is that Azure Data Factory needs better integration capabilities while users of Oracle Data Integrator (ODI) find that the solution integrates well with other systems.

To learn more, read our detailed Azure Data Factory vs. Oracle Data Integrator (ODI) Report (Updated: March 2024).
768,857 professionals have used our research since 2012.
Q&A Highlights
Question: What is the best suitable replacement for ODI on Azure?
Answer: Some people prefer Azure Data Factory over Oracle Data Integrator (ODI) for the following reasons: Azure Data Factory is a cloud-native Data Integration service. It is designed to run in the cloud, offering several advantages, including scalability, reliability, and ease of management. Azure Data Factory is part of Azure's broad ecosystem so that it can easily integrate with other Azure services, such as Azure Synapse Analytics, Azure SQL Database, and Azure Blob Storage. This then makes building end-to-end data pipelines easier. Ease of use is another reason some users prefer Azure Data Factory. The solution has a user-friendly interface and many features that make building and managing data pipelines easier. They say Azure Data Factory is a cost-effective Data Integration solution. Pros and cons of Azure Data Factory Pros: Cloud-native Broad ecosystem Ease of use Affordability Cons: Can be complex to set up and manage for large and complex Data Integration environments May not have all of the features of ODI Pros and cons of Oracle Data Integrator (ODI) Pros: Mature and well-established product Comprehensive feature set Good support for on-premises deployments Cons: Not cloud-native Can be complex to set up and manage Can be expensive, as reported by others For a large tech services company, some recommend Azure Data Factory, mainly because it is cloud-native and highly scalable. Azure Data Factory also integrates well with other Azure services, which makes it easier to build end-to-end data pipelines.
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 most valuable feature is the copy activity.""The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain.""Its integrability with the rest of the activities on Azure is most valuable.""We use the solution to move data from on-premises to the cloud.""Azure Data Factory's most valuable features are the packages and the data transformation that it allows us to do, which is more drag and drop, or a visual interface. So, that eases the entire process.""Allows more data between on-premises and cloud solutions""We have found the bulk load feature very valuable.""Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good."

More Azure Data Factory Pros →

"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.""​All our systems can be widely integrated by ODI, such as transactional systems, our data warehouses, and B2B integration.""Easy to understand, very developer-friendly, and has a big forum community and lots of documentation for support.""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.""I like that Oracle Data Integrator (ODI) has a straightforward setup and offers good technical support.""The most valuable features of ODI are the knowledge modules, such as the Loading Knowledge module and the Check Knowledge module, they are helpful. We can check for the constraints in ODI. That helps in figuring out what are the constraints that are the primary keys created in the tables. We can check them with the Check Knowledge module.""Besides loading data, we do most of our transformations in ODI.""The initial setup is easy."

More Oracle Data Integrator (ODI) Pros →

Cons
"The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others.""There's no Oracle connector if you want to do transformation using data flow activity, so Azure Data Factory needs more connectors for data flow transformation.""The user interface could use improvement. It's not a major issue but it's something that can be improved.""There aren't many third-party extensions or plugins available in the solution.""We have experienced some issues with the integration. This is an area that needs improvement.""When the record fails, it's tough to identify and log.""Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations.""The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."

More Azure Data Factory Cons →

"It would be really good if Oracle considered enabling the tool to integrate with some other platforms that are deprecated simply for commercial reasons""Stability could be improved because some operators have issues.""We used a third party to do the implementation of ODI.""In our company, we haven't tried consuming services from IoT in our company yet, and I would like to know if the solution will support IoT services in the next release.""At present, when multiple steps are executed in parallel in the load plan and errors occur, the error handling mechanism does not function correctly.""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.""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
  • "In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."
  • "This is a cost-effective solution."
  • "The price you pay is determined by how much you use it."
  • "Understanding the pricing model for Data Factory is quite complex."
  • "I would not say that this product is overly expensive."
  • "The licensing is a pay-as-you-go model, where you pay for what you consume."
  • "Our licensing fees are approximately 15,000 ($150 USD) per month."
  • "The licensing cost is included in the Synapse."
  • More Azure Data Factory 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:AWS Glue and Azure Data factory for ELT best performance cloud services.
    Top Answer:Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up and… more »
    Top Answer:Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power… more »
    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
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    46
    Average Words per Review
    489
    Rating
    8.0
    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
    ODI
    Learn More
    Overview

    Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.

    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
    1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa
    Griffith University, Kansas City Power & Light, Keste, Raymond James Financial, Valdosta State University
    Top Industries
    REVIEWERS
    Computer Software Company34%
    Insurance Company11%
    Manufacturing Company8%
    Financial Services Firm8%
    VISITORS READING REVIEWS
    Computer Software Company13%
    Financial Services Firm13%
    Manufacturing Company8%
    Healthcare Company7%
    REVIEWERS
    Financial Services Firm24%
    Comms Service Provider11%
    Computer Software Company8%
    Retailer5%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company14%
    Government8%
    Manufacturing Company8%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise19%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise70%
    REVIEWERS
    Small Business32%
    Midsize Enterprise16%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise71%
    Buyer's Guide
    Azure Data Factory vs. Oracle Data Integrator (ODI)
    March 2024
    Find out what your peers are saying about Azure Data Factory vs. Oracle Data Integrator (ODI) and other solutions. Updated: March 2024.
    768,857 professionals have used our research since 2012.

    Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Oracle Data Integrator (ODI) is ranked 4th in Data Integration with 67 reviews. Azure Data Factory is rated 8.0, while Oracle Data Integrator (ODI) is rated 8.2. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". 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". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and SAP Data Services, whereas Oracle Data Integrator (ODI) is most compared with Oracle Integration Cloud Service, SSIS, Informatica PowerCenter, Oracle GoldenGate and Talend Open Studio. See our Azure Data Factory 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.