Azure Data Factory vs Oracle Database Appliance comparison

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8,287 views|6,470 comparisons
91% willing to recommend
Oracle Logo
3,045 views|2,195 comparisons
87% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Azure Data Factory and Oracle Database Appliance based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Warehouse 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 Database Appliance Report (Updated: March 2024).
768,886 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
"It is beneficial that the solution is written with Spark as the back end.""The most valuable feature is the ease in which you can create an ETL pipeline.""UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages.""We have found the bulk load feature very valuable.""I like that it's a monolithic data platform. This is why we propose these solutions.""Feature-wise, one of the most valuable ones is the data flows introduced recently in the solution.""The overall performance is quite good.""Data Factory's best features are connectivity with different tools and focusing data ingestion using pipeline copy data."

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"Easy management (it saves a lot of installation and patching time).""I give it a nine out of 10 because it gives the customer easy access to a complete database solution within 30 minutes.""We primarily use it for OLTP, which has improved our costs.""Oracle has good technical support.""The initial setup was straightforward and quick - I was able to configure everything within an hour.""The solution is pretty automated, which takes out the possibility of human error.""The most valuable feature of Oracle Database Appliance is the ease of management.""The Oracle database is able to get the data, process it, and return it to the company's CEO's and CFO's within a single day, and thus they are able to find out yesterday's P and L by today. It has drastically reduced the amount and time of processing from seven days to one day."

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Cons
"There should be a way that it can do switches, so if at any point in time I want to do some hybrid mode of making any data collections or ingestions, I can just click on a button.""There are limitations when processing more than one GD file.""The pricing scheme is very complex and difficult to understand.""Data Factory could be improved by eliminating the need for a physical data area. We have to extract data using Data Factory, then create a staging database for it with Azure SQL, which is very, very expensive. Another improvement would be lowering the licensing cost.""We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on.""Data Factory could be improved in terms of data transformations by adding more metadata extractions.""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.""The solution needs to be more connectable to its own services."

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"Oracle's product support is an area of concern where improvements are required.""The tool's setup can be easier.""Oracle could improve its capacity for built-in visualization.""Virtualization features could also be improved. A web-based GUI would be a good start.""The product is quite complex to set up, initially. It would be ideal if it was simpler.""I would like it if the scalability could be increased without having to change versions.""The feature that I would like to see improve is the interface. It is really not good. I almost have to work on script by script in it. There is always some issue with the user interface.""It would be beneficial to have dedicated RAM included in the Oracle Database Appliance."

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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 →

  • "Get benefit from the capacity-on-demand features. License your cores according to your licenses."
  • "Leverage the Pay-As-You-Grow licensing, and consider using the ODA X6-2 S/M/L models also for SE2/SE."
  • "In regards to licensing, it is cheaper to maintain for Oracle applications, and it's an all-in-one solution."
  • "The price should be lower."
  • "You must pay for the license."
  • "The price of the solution should be less expensive. However, they will increase the price more."
  • "I don’t know ODA and alternative system prices. But Oracle the database license is quite expensive and a lot of my customers plan to migrate to open source databases like PostgreSQL."
  • "Compared to Oracle Exadata, Oracle Database Appliance is affordable."
  • More Oracle Database Appliance 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 product is excellent. It is simple and reliable in terms of installation and maintenance.
    Top Answer:The product is costly. However, it is the price is justifiable for the excellent technology it offers.
    Top Answer:They could incorporate a more secure and internet-centric management system for the platform.
    Ranking
    3rd
    Views
    8,287
    Comparisons
    6,470
    Reviews
    46
    Average Words per Review
    489
    Rating
    8.0
    6th
    out of 34 in Data Warehouse
    Views
    3,045
    Comparisons
    2,195
    Reviews
    13
    Average Words per Review
    354
    Rating
    7.8
    Comparisons
    Also Known As
    X5-2
    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 Database Appliance is the easiest and most affordable way for small or medium-size organizations to run Oracle databases and applications and is an ideal platform for remote and edge computing environments. Customers reduce Oracle Database deployment times and management workloads using a prebuilt integrated system with management automation. As demonstrated in IDC’s business value study (PDF), Oracle Database Appliance lets customers grow revenue and control costs, delivering up to a 498% return on investment (ROI) over five years.

    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
    LifeLock, Incarlopsa, Al Yusur Industrial Contracting
    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 Firm32%
    Comms Service Provider21%
    Retailer11%
    Transportation Company5%
    VISITORS READING REVIEWS
    Financial Services Firm29%
    Computer Software Company11%
    Government8%
    Manufacturing Company6%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise19%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise70%
    REVIEWERS
    Small Business42%
    Midsize Enterprise21%
    Large Enterprise37%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise11%
    Large Enterprise75%
    Buyer's Guide
    Azure Data Factory vs. Oracle Database Appliance
    March 2024
    Find out what your peers are saying about Azure Data Factory vs. Oracle Database Appliance and other solutions. Updated: March 2024.
    768,886 professionals have used our research since 2012.

    Azure Data Factory is ranked 3rd in Cloud Data Warehouse with 81 reviews while Oracle Database Appliance is ranked 6th in Data Warehouse with 39 reviews. Azure Data Factory is rated 8.0, while Oracle Database Appliance 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 Database Appliance writes "Simplifies database management tasks and provides high availability and disaster recovery". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas Oracle Database Appliance is most compared with Oracle Exadata, VMware Tanzu Greenplum, Dremio, Actian Ingres and SAP BW4HANA. See our Azure Data Factory vs. Oracle Database Appliance report.

    See our list of best Cloud Data Warehouse vendors.

    We monitor all Cloud Data Warehouse 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.