Azure Data Factory vs Oracle Autonomous Data Warehouse comparison

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Executive Summary

We performed a comparison between Azure Data Factory and Oracle Autonomous Data Warehouse 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 Autonomous Data Warehouse Report (Updated: March 2024).
765,234 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
"For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration.""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.""The trigger scheduling options are decently robust.""From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature.""The solution has a good interface and the integration with GitHub is very useful.""This solution has provided us with an easier, and more efficient way to carry out data migration tasks.""I like the basic features like the data-based pipelines.""We haven't had any issues connecting it to other products."

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"Self-patching and runs machine-learning across its logs all the time""One advantage is that if you already have an Oracle Database, it easily integrates with that.""It provides Transparent Data Encryption (TDE) capabilities by default to address data security issues.""The product is easy to use.""The performance and scalability are awesome.""With Oracle Autonomous Data Warehouse, things are much simpler. Creating a structure, initializing the servers, extending the servers, those are all things that are very, very easy. That's the main reason we use it.""It is an extremely scalable solution since you can dynamically change the resources as some other cloud solutions.""The solution is self-securing. All data is encrypted and security updates and patches are applied automatically both periodically and off-cycle."

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Cons
"I would like to be informed about the changes ahead of time, so we are aware of what's coming.""The initial setup is not very straightforward.""I have not found any real shortcomings within the product.""The solution can be improved by decreasing the warmup time which currently can take up to five minutes.""The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring.""When the record fails, it's tough to identify and log.""User-friendliness and user effectiveness are unquestionably important, and it may be a good option here to improve the user experience. However, I believe that more and more sophisticated monitoring would be beneficial.""Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."

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"Sometimes the solution works differently between the cloud and on-premises. It needs to be more consistent and predictable.""One of the major problem is creating custom tablespace. The ADB serverless option doesn't support custom tablespace creation, which could cause issues during on-premise database migration that requires specifically named tablespace. There should be an option to create customized tablespace.""My main suggestion for Oracle is the configuration and key values that come for JSON files. When we create a table, especially if you see in our RedShift or some other stuff, if I create a table on top of a JSON file with multiple array columns or superset columns, those column values create some difficulty in Oracle.""I would like to see Application Express and Oracle R Enterprise fully supported, and I would like to see Oracle Data Mining supported as a front end.""The solution could be improved by allowing for migration tools from other cloud services, including migration from Amazon Redshift, RDS, and Aurora.""The solution lacks visibility options.""They should make the solution more user-friendly.""There is a need for more storage to be allocated, but over a period of time, it becomes impossible to reduce it after using it."

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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 cost is perfect with Oracle Universal credit."
  • "ROI is high."
  • "You pay as you go, and you don't pay for services that you don't use."
  • "Cloud solutions are cheaper, but in the long run, they may not be much cheaper. They certainly have a lower initial cost. The licensing is yearly, and it is based on the size of the hardware and the number of users."
  • "The solution's cost is reasonable."
  • "On a scale from one to ten, where one is a low price and ten is a high price, I rate the pricing an eight."
  • "The licensing cost of the product can vary since you can integrate it very easily with other products or other cloud products...You pay as you use it, so it is not yearly or monthly payments to be made toward Oracle."
  • "The price depends on the configuration we choose."
  • More Oracle Autonomous Data Warehouse 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:With Oracle Autonomous Data Warehouse, things are much simpler. Creating a structure, initializing the servers, extending the servers, those are all things that are very, very easy. That's the main… more »
    Top Answer:Cost-wise, it's a solid seven out of ten. A bit costly, but it is a good tool.
    Top Answer:My main suggestion for Oracle is the configuration and key values that come for JSON files. When we create a table, especially if you see in our RedShift or some other stuff, if I create a table on… more »
    Ranking
    3rd
    Views
    8,490
    Comparisons
    6,535
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    Average Words per Review
    495
    Rating
    8.0
    10th
    Views
    3,493
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    2,338
    Reviews
    7
    Average Words per Review
    556
    Rating
    8.1
    Comparisons
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    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 Autonomous Data Warehouse is the world’s first and only autonomous database optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can rapidly, easily, and cost-effectively discover business insights using data of any size and type. Built for the cloud and optimized using Oracle Exadata, Autonomous Data Warehouse benefits from faster performance and, according to an IDC report (PDF), lowers operational costs by an average of 63%.


    Autonomous Database provides the foundation for a data lakehouse—a modern, open architecture that enables you to store, analyze, and understand all your data. The data lakehouse combines the power and richness of data warehouses with the breadth, flexibility, and low cost of popular open source data lake technologies. Access your data lakehouse through Autonomous Database using the world's most powerful and open SQL processing engine.

    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
    Hertz, TaylorMade Golf, Outront Media, Kingold, FSmart, Drop-Tank
    Top Industries
    REVIEWERS
    Computer Software Company35%
    Insurance Company12%
    Manufacturing Company8%
    Financial Services Firm8%
    VISITORS READING REVIEWS
    Computer Software Company13%
    Financial Services Firm13%
    Manufacturing Company8%
    Healthcare Company7%
    REVIEWERS
    Computer Software Company30%
    Manufacturing Company20%
    Financial Services Firm20%
    Individual & Family Service10%
    VISITORS READING REVIEWS
    Educational Organization43%
    Financial Services Firm9%
    Computer Software Company8%
    Manufacturing Company4%
    Company Size
    REVIEWERS
    Small Business28%
    Midsize Enterprise19%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise70%
    REVIEWERS
    Small Business40%
    Midsize Enterprise7%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise47%
    Large Enterprise40%
    Buyer's Guide
    Azure Data Factory vs. Oracle Autonomous Data Warehouse
    March 2024
    Find out what your peers are saying about Azure Data Factory vs. Oracle Autonomous Data Warehouse and other solutions. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Azure Data Factory is ranked 3rd in Cloud Data Warehouse with 79 reviews while Oracle Autonomous Data Warehouse is ranked 10th in Cloud Data Warehouse with 16 reviews. Azure Data Factory is rated 8.0, while Oracle Autonomous Data Warehouse is rated 8.6. 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 Autonomous Data Warehouse writes "A tool for data warehousing that offers scalability, stability, and ease of setup". Azure Data Factory is most compared with Informatica PowerCenter, Alteryx Designer, Informatica Cloud Data Integration, Snowflake and Microsoft Azure Synapse Analytics, whereas Oracle Autonomous Data Warehouse is most compared with Oracle Exadata, Snowflake, Microsoft Azure Synapse Analytics, BigQuery and Vertica. See our Azure Data Factory vs. Oracle Autonomous Data Warehouse 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.