Azure Data Factory vs Oracle Data Integrator Cloud Service comparison

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Executive Summary

We performed a comparison between Azure Data Factory and Oracle Data Integrator Cloud Service 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 Azure Data Factory vs. Oracle Data Integrator Cloud Service Report (Updated: May 2023).
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
"This solution has provided us with an easier, and more efficient way to carry out data migration tasks.""One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams.""Data Factory's best features are connectivity with different tools and focusing data ingestion using pipeline copy data.""The user interface is very good. It makes me feel very comfortable when I am using the tool.""Azure Data Factory became more user-friendly when data-flows were introduced.""The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain.""Most of our customers are Microsoft shops and prefer Azure Data Factory because they have good licensing options and a trust factor with Microsoft.""It is easy to deploy workflows and schedule jobs."

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"Oracle Data Integrator helps us build tables and data marts and allows us to schedule them daily, for nearly real-time data warehousing.""The solution is easy to manage and offers good integration. You can run all the tasks one by one which is really helpful, and pick the day and time to do so.""The most valuable thing to me is its simplicity. A person with zero knowledge can also develop the integration without having extensive technology knowledgebase. They can also work on creating their own integration.""The data is stored in the cloud, making it easy to download data simultaneously into multiple smaller servers, effectively downsizing the process.""It's on the cloud, so it's scalable and quite easy to work with.""Having a single vendor supporting the entire suite of applications.""Oracle integration cloud has got the adapters for all their products, which makes integration faster."

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Cons
"The support and the documentation can be improved.""There aren't many third-party extensions or plugins available in the solution.""I would like to see this time travel feature in Snowflake added to Azure Data Factory.""When the record fails, it's tough to identify and log.""The setup and configuration process could be simplified.""It can improve from the perspective of active logging. It can provide active logging information.""Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail.""The number of standard adaptors could be extended further."

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"This is an expensive solution compared to other products on the market.""I would like to see different cloud adapters or connectors in case of integration. When you have Oracle to Oracle, they are good. They have really good connectors, but if it is a different ERP, like Obsidian, that is where they are faced with problems in OIC.""It's lacking a lot of mapping features that Oracle OSB and SOA have. It needs to evolve a lot.""I've found technical support not very effective. They should work to improve their services.""Bulk uploading can be a problem when you hit the upper limit.""The pricing could be more competitive.""It can be made much easier for users. They should be allowed to easily monitor the data extraction and flow, allowing them to observe real-time data flow within the software, making the process straightforward."

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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 →

  • "The price is competitive compared to Boomi which is much higher."
  • More Oracle Data Integrator Cloud Service Pricing and Cost Advice →

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    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:The data is stored in the cloud, making it easy to download data simultaneously into multiple smaller servers, effectively downsizing the process.
    Top Answer:The price is competitive compared to Boomi which is much higher.
    Top Answer:It can be made much easier for users. They should be allowed to easily monitor the data extraction and flow, allowing them to observe real-time data flow within the software, making the process… more »
    Ranking
    1st
    out of 100 in Data Integration
    Views
    26,170
    Comparisons
    20,469
    Reviews
    46
    Average Words per Review
    489
    Rating
    8.0
    20th
    Views
    78
    Comparisons
    54
    Reviews
    4
    Average Words per Review
    489
    Rating
    8.0
    Comparisons
    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 Cloud Service provides pushdown data processing; high performance ETL with less data movement which is best for the Cloud. Oracle Data Integrator Cloud Service executes data transformations where the data lies without having to copy data unnecessarily to remote locations.

    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
    Amplifon
    Top Industries
    REVIEWERS
    Computer Software Company34%
    Insurance Company11%
    Financial Services Firm8%
    Manufacturing Company8%
    VISITORS READING REVIEWS
    Computer Software Company13%
    Financial Services Firm13%
    Manufacturing Company8%
    Healthcare Company7%
    No Data Available
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise19%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise70%
    REVIEWERS
    Small Business43%
    Large Enterprise57%
    Buyer's Guide
    Azure Data Factory vs. Oracle Data Integrator Cloud Service
    May 2023
    Find out what your peers are saying about Azure Data Factory vs. Oracle Data Integrator Cloud Service and other solutions. Updated: May 2023.
    768,578 professionals have used our research since 2012.

    Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Oracle Data Integrator Cloud Service is ranked 20th in Cloud Data Integration with 7 reviews. Azure Data Factory is rated 8.0, while Oracle Data Integrator Cloud Service is rated 8.0. 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 Cloud Service writes "A well-established product that meets all our specifications in terms of usability". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas Oracle Data Integrator Cloud Service is most compared with IBM InfoSphere DataStage. See our Azure Data Factory vs. Oracle Data Integrator Cloud Service report.

    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.