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Azure Data Factory vs Oracle Data Integrator (ODI) comparison

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Azure Data Factory
Read 81 Azure Data Factory reviews
24,893 views|19,539 comparisons
91% willing to recommend
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Oracle Data Integrator (ODI)
Read 68 Oracle Data Integrator (ODI) reviews
14,448 views|8,337 comparisons
84% willing to recommend
Comparison Buyer's Guide
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Buyer's Guide
Azure Data Factory vs. Oracle Data Integrator (ODI)
May 2024
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: May 2024).
Download the complete report
786,957 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.
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Featured Review
Zubair_Ahmed
Researched Oracle Data Integrator (ODI) but chose Azure Data Factory: Seamless cloud-based data integration providing a versatile platform with scalable data processing, diverse data connectors, and comprehensive monitoring and management capabilities
The company is experiencing significant benefits as one of our customers is successfully implementing the solution we provide. We offer support to... Read more →
Anonymous User
Researched Azure Data Factory but chose Oracle Data Integrator (ODI): The product is faster than other tools in the market, but it is very expensive
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 solution can scale very easily.""We have found the bulk load feature very valuable.""Powerful but easy-to-use and intuitive.""The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain.""An excellent tool for pipeline orchestration.""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.""From what we have seen so far, the solution seems very stable."

More Azure Data Factory Pros →

"Oracle provides great documentation.""The tool improved our data integration workflow primarily due to its compatibility with Oracle. Its integration makes it very convenient for analytics. Its most valuable feature is robust extended capability. The solution's debugging capabilities are good.""The most valuable feature of ODI is the to use of the whole ETL to create a data lake.""I do not have to maintain a separate ETL instance. I can change the SQL when something is not performing correctly.""It's scalable.""The scalability is great. It's one of the reasons we chose the solution.""​The installation of the client ODI Studio is easy.​""ODI is a very accessible tool, especially since the mapping functionality has been added."

More Oracle Data Integrator (ODI) Pros →

Cons
"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better.""There's space for improvement in the development process of the data pipelines.""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.""I would like to be informed about the changes ahead of time, so we are aware of what's coming.""Data Factory's monitorability could be better.""Azure Data Factory could benefit from improvements in its monitoring capabilities to provide a more robust feature set. Enhancing the ease of deployment to higher environments within Azure DevOps would be beneficial, as the current process often requires extensive scripting and pipeline development. It is also known for the flexibility of the data flow feature, particularly in supporting more dynamic data-driven architectures. These enhancements would contribute to a more seamless and efficient workflow within GitLab.""There are limitations when processing more than one GD file.""The product's technical support has certain shortcomings, making it an area where improvements are required."

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"If you have something like Cisco on top of it, you will have endless problems.""Oracle support services are not up to the mark.""I rate it a seven out of 10 because there is room for growth because ODI is still new, in comparison to Informatica, which is a mature product.""Technical Support could be better.""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.""An area for improvement would be the lack of SQL compatibility - ODI has no ability to interact with SQL unstructured types and data types.""The initial setup is a bit complex compared to other tools.""The resource management aspect of the solution could be improved."

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
    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
    How do you select the right cloud ETL tool?
    Top Answer:AWS Glue and Azure Data factory for ELT best performance cloud services.
    Read all 2 answers   →
    How does Azure Data Factory compare with Informatica PowerCenter?
    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 »
    How does Azure Data Factory compare with Informatica Cloud Data Integration?
    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 »
    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:ODI significantly improves data integration and management by allowing customization of data types from various sources like SQL Server databases.
    Read all 25 answers   →
    What is your experience regarding pricing and costs for Oracle Data Integ...
    Top Answer:The pricing for ODI varies depending on factors like usage and deployment model. While it might be expensive for small companies, it is generally reasonable for mid-sized companies. Pricing typically… more »
    Read all 17 answers   →
    Ranking
    1st
    out of 103 in Data Integration
    Views
    24,893
    Comparisons
    19,539
    Reviews
    45
    Average Words per Review
    507
    Rating
    8.0
    4th
    out of 103 in Data Integration
    Views
    14,448
    Comparisons
    8,337
    Reviews
    18
    Average Words per Review
    443
    Rating
    8.2
    Comparisons
    Also Known As
    ODI
    Learn More
    Microsoft
    Oracle
    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 Enterprise69%
    REVIEWERS
    Small Business32%
    Midsize Enterprise16%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise71%
    Buyer's Guide
    Azure Data Factory vs. Oracle Data Integrator (ODI)
    May 2024
    Free Report: Azure Data Factory vs. Oracle Data Integrator (ODI)
    Find out what your peers are saying about Azure Data Factory vs. Oracle Data Integrator (ODI) and other solutions. Updated: May 2024.
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    786,957 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 68 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, Informatica PowerCenter, SSIS, 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.