Azure Data Factory vs Oracle Exadata comparison

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8,287 views|6,470 comparisons
91% willing to recommend
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9,011 views|6,546 comparisons
89% willing to recommend
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Executive Summary

We performed a comparison between Azure Data Factory and Oracle Exadata 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 Exadata Report (Updated: March 2024).
768,415 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 feature I found most helpful in Azure Data Factory is the pipeline feature, including being able to connect to different sources. Azure Data Factory also has built-in security, which is another valuable feature.""For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration.""When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit.""The data mapping and the ability to systematically derive data are nice features. It worked really well for the solution we had. It is visual, and it did the transformation as we wanted.""I like how you can create your own pipeline in your space and reuse those creations. You can collaborate with other people who want to use your code.""It is very modular. It works well. We've used Data Factory and then made calls to libraries outside of Data Factory to do things that it wasn't optimized to do, and it worked really well. It is obviously proprietary in regards to Microsoft created it, but it is pretty easy and direct to bring in outside capabilities into Data Factory.""What I like best about Azure Data Factory is that it allows you to create pipelines, specifically ETL pipelines. I also like that Azure Data Factory has connectors and solves most of my company's problems."

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"It is a highly relevant option with extreme performance.""It offers a significant advantage for accommodating a large number of users.""On-premises Exadata is just as stable as the cloud version. It's a very stable platform.""The most valuable feature is storage offloading.""Exadata's best features are its performance during redo logging and the elasticity of the database handling.""Oracle is easy to use for peripheral things, such as the data vault and the data firewall, data sync, and partitions. These are the features that give an edge to other databases.""It is the best solution for OLTP and data warehousing.""The new Exadata x9m has an even higher speed of 100GBps connectivity."

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Cons
"Azure Data Factory can improve the transformation features. You have to do a lot of transformation activities. This is something that is just not fully covered. Additionally, the integration could improve for other tools, such as Azure Data Catalog.""The solution needs to integrate more with other providers and should have a closer integration with Oracle BI.""You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats.""There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run.""The Microsoft documentation is too complicated.""The performance could be better. It would be better if Azure Data Factory could handle a higher load. I have heard that it can get overloaded, and it can't handle it.""I would like to see this time travel feature in Snowflake added to Azure Data Factory.""If the user interface was more user friendly and there was better error feedback, it would be helpful."

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"Tech support sometimes takes some time to identify and rectify issues.""Certification should also be improved. Today, Oracle doesn't certify applications with engineered systems.""Patching must be simplified.""The technical support is in need of improvement.""Sometimes it takes too long time to get help with technical issues.""The initial setup process is very difficult and extremely complex.""The improvement could be made on the hardware level as the habit in the industry is to go better and faster and larger with every iteration.""We had issues with system restoration."

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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 →

  • "In the sizing phase, you can also decide whether to license all cores, or reduce the number cores using capacity-on-demand features of Exadata, as well. This has a direct impact on licensing."
  • "The Initial investment price could use improvement"
  • "I think it's free."
  • "The price is very high."
  • "Exadata is an expensive tool, but, considering the ROI, it's worth going for the solution."
  • "Oracle is always costly but it's fine."
  • "It is an expensive product and you pay more for certain performance enhancements."
  • "All things considered, the price of this product is fairly high, as is always the case with Oracle."
  • More Oracle Exadata 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:It is the best solution for OLTP and data warehousing.
    Top Answer:The solution’s cost is a little bit more than the traditional databases. Less cost would enable most customers to choose the product.
    Top Answer:Patching must be simplified. We have various levels of patching in the solution. Most of them are online, split into various components. A single way of patching would be better.
    Ranking
    3rd
    Views
    8,287
    Comparisons
    6,470
    Reviews
    46
    Average Words per Review
    489
    Rating
    8.0
    2nd
    out of 34 in Data Warehouse
    Views
    9,011
    Comparisons
    6,546
    Reviews
    21
    Average Words per Review
    494
    Rating
    8.7
    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 Exadata allows enterprises to run any Oracle Database workload with the highest performance, scale, availability, and security on fully compatible cloud and on-premises infrastructure. Exadata uses a scale-out design with unique optimizations that include persistent memory, SQL query offload, and built-in resource management to optimize performance for OLTP, analytics, machine learning, and mixed workloads running in consolidated environments. By running hundreds or thousands of optimized Autonomous Database and Exadata Database instances on Exadata Cloud or Cloud@Customer infrastructure, customers are able to minimize their infrastructure, reduce management, improve developer productivity, and lower total costs by up to 40%, as described in Wikibon’s analysis (PDF).

    The main benefit of Exadata is its speed. It hosts operating systems, CPU memory, and hard drives. It runs all types of databases, including online transaction systems, processors, and data warehouses, while remedying the poor performances of older databases.

    Oracle Exadata features a simple and fast database storage system that protects and backs up your critical data. It accelerates data warehouse performance for faster access to business information and data. It is the ideal database solution for companies looking to build up their infrastructure from scratch.

    Oracle Exadata Database Machine Key Benefits

    • Rapid, reliable, and scalable deployment: Exadata is the most cost-efficient and highest performance platform for running Oracle databases. Exadata’s deployment is very straightforward since the database servers, storage servers, and network are pre-configured, pre-tuned and pre-tested by Oracle experts. This ensures that all your components work seamlessly together. Any Oracle Database application can be seamlessly migrated to and from the Exadata Database Machine, with no changes to the original application.

    • Powerful, cutting-edge hardware: Exadata is the most versatile database platform. It uses powerful database servers and a scaled-out, intelligent storage layer.

    • Accelerate database processing: Exadata Storage Server implements a unique, highly efficient database-optimized storage infrastructure that enables Exadata’s unparalleled performance without any of the bottlenecks that traditional storage experiences. Each storage server contains CPU processors that are used to offload database processing. The CPUs in the storage servers do not replace database CPUs, but work alongside them to accelerate database workloads.

    Reviews from Real Users

    Oracle Exadata stands out among its competitors for a number of reasons. Two major ones are its robust performance and its wide variety of database features that make it a comprehensive database solution.

    Adriano S., an IT system integrator at a financial services firm, writes, "Oracle Exadata's performance is one of its best features. We are very satisfied with it. The previous equipment used to make a payment for all the government employees used to take at least two days for some of the transactions. Now, it will take hours to make the same amount of payments. Another thing is the flexibility to organize all our databases. We can use it with new features that come with this version of Oracle 19c, which is the container database. With container databases, we can work with many databases, organized, and segregated, and still access the functions and management, the things that most of the technical people like to have in place."

    Paulo X., a sales manager at LTA-RH Informatica, notes, "Regarding features, there are so many that we can offer to customers. When we sell Exadata Cloud, there are many options to choose from, especially when it comes to enterprise database options. In my experience, the main features that are appreciated are various ones like GPS and the assortment of security options."

    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
    PayPal, EBS, Organic Food Retailer, Garmin, University of Minnesota, Major Semiconductor Company, Deutsche Bank, Starwood, Ziraat Bank, SK Telecom, and P&G.
    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 Provider17%
    Insurance Company16%
    Computer Software Company8%
    VISITORS READING REVIEWS
    Financial Services Firm28%
    Computer Software Company13%
    Manufacturing Company6%
    Energy/Utilities Company5%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise19%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise70%
    REVIEWERS
    Small Business30%
    Midsize Enterprise9%
    Large Enterprise61%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    Buyer's Guide
    Azure Data Factory vs. Oracle Exadata
    March 2024
    Find out what your peers are saying about Azure Data Factory vs. Oracle Exadata and other solutions. Updated: March 2024.
    768,415 professionals have used our research since 2012.

    Azure Data Factory is ranked 3rd in Cloud Data Warehouse with 81 reviews while Oracle Exadata is ranked 2nd in Data Warehouse with 124 reviews. Azure Data Factory is rated 8.0, while Oracle Exadata is rated 8.4. 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 Exadata writes "Offers a variety of valuable features". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas Oracle Exadata is most compared with Oracle Database Appliance, Teradata, Oracle Autonomous Data Warehouse, Snowflake and Amazon Redshift. See our Azure Data Factory vs. Oracle Exadata 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.