Compare Microsoft Azure SQL Data Warehouse vs. Oracle Autonomous Data Warehouse

Microsoft Azure SQL Data Warehouse is ranked 2nd in Cloud Data Warehouse with 10 reviews while Oracle Autonomous Data Warehouse is ranked 5th in Cloud Data Warehouse with 3 reviews. Microsoft Azure SQL Data Warehouse is rated 7.8, while Oracle Autonomous Data Warehouse is rated 9.4. The top reviewer of Microsoft Azure SQL Data Warehouse writes "A good solution for simple data warehousing that scales well, but it needs better technical support". On the other hand, the top reviewer of Oracle Autonomous Data Warehouse writes "Saves time by allowing me to simply load my data and go". Microsoft Azure SQL Data Warehouse is most compared with Snowflake, SAP BW/4HANA and Amazon Redshift, whereas Oracle Autonomous Data Warehouse is most compared with Snowflake, Microsoft Azure SQL Data Warehouse and Amazon Redshift. See our Microsoft Azure SQL Data Warehouse vs. Oracle Autonomous Data Warehouse report.
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Most Helpful Review
Find out what your peers are saying about Microsoft Azure SQL Data Warehouse vs. Oracle Autonomous Data Warehouse and other solutions. Updated: January 2020.
398,259 professionals have used our research since 2012.
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 of the solution is the analytics and that it can connect with Power BI.The most valuable feature is the incremental load because we do not need to refresh the entire data on a daily basis.Azure elasticity allows us to scale as much as we want, and it is pay-as-you-go, so we can scale up as we need to.The features we've found most valuable for data warehouses is extracting data, SSIS packages, and the DBs.The main advantage of using this solution is its ability to scale and handle very large amounts of data, in the petabyte range.The most valuable feature is the scalability.The MPP (Massively Parallel Processing) architecture helps to make things a lot faster.The initial setup was really easy and straightforward.

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I really like the auto-tuning, auto-scaling, and the automatic load balancing and query tuning in the system.I loved the simplicity of loading the data and simply relying on the self-tuning capabilities of ADW.Oracle Autonomous Data Warehouse is used globally to deliver extreme performance on large Financial data sets.

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Cons
I would like my team to be able to build pipelines that integrate with the Azure Data Factory.I would like to see version control implemented into the data warehouse.The configuration for things like high-availability could be more user-friendly for non-technical users.I'm not entirely happy with the billing model. I'm not entirely happy with how the enterprise services are pretty expensive, but that's about it.With respect to what needs to be improved, concurrent connectivity has some limitations.It's pay as you go, so you never know what your bill is going to be beforehand, and that's scary for customers. If you have someone who makes a mistake and the program's a loop that is running all night, you could receive a very expensive bill.This is a young product in transition to the cloud and it needs more work before it is both settled as a product and competitive in the market.It would be of interest to improve things like the web service integration and availability in terms of being easy to create internal web services in the database.

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I would like to see an on-premise solution in the future.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.An improvement for us would be the inclusion of support for an internal IP, so we could use it directly with the VCN in Oracle Cloud.

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Pricing and Cost Advice
The licensing fees for this solution are on a pay-per-use basis, and not very expensive.When we are not using this solution we can simply shut it down saving us costs, which is a nice advantage.This solution starts at €1000.00 a month for just the basics and can go up to €300,000.00 per month for the fastest version.The pricing is okay. You can pay as you go.The price of this solution could be improved.

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The cost is perfect with Oracle Universal credit.

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398,259 professionals have used our research since 2012.
Ranking
2nd
Views
8,085
Comparisons
6,960
Reviews
10
Average Words per Review
496
Avg. Rating
7.7
5th
Views
1,598
Comparisons
970
Reviews
3
Average Words per Review
354
Avg. Rating
9.3
Top Comparisons
Also Known As
Microsoft Azure SQL DW, Azure SQL Data Warehouse
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Overview

Azure SQL Data Warehouse is a Fast, flexible, and secure analytics platform for the enterprise. Azure SQL Data Warehouse lets you independently scale compute and storage, while pausing and resuming your data warehouse within minutes through a massively parallel processing architecture designed for the cloud. Seamlessly create your hub for analytics along with native connectivity with data integration and visualization services, all while using your existing SQL and BI skills.

Autonomous Data Warehouse is market-leading Oracle Database software running on proven Oracle Exadata infrastructure that is optimized to deliver unbeatable performance for data warehouse workloads. Built-in adaptive machine learning eliminates manual labor for administrative management. With Oracle, business and enterprise users can now build their own data warehouse, data mart, or sandbox in a few minutes.

Offer
Learn more about Microsoft Azure SQL Data Warehouse
Learn more about Oracle Autonomous Data Warehouse
Sample Customers
Toshiba, Carnival, LG Electronics, Jet.com, Adobe, Hertz, TaylorMade Golf, Outront Media, Kingold, FSmart, Drop-Tank
Top Industries
VISITORS READING REVIEWS
Software R&D Company42%
Financial Services Firm9%
Comms Service Provider9%
Manufacturing Company5%
VISITORS READING REVIEWS
Software R&D Company63%
Comms Service Provider11%
Media Company5%
Construction Company4%
Find out what your peers are saying about Microsoft Azure SQL Data Warehouse vs. Oracle Autonomous Data Warehouse and other solutions. Updated: January 2020.
398,259 professionals have used our research since 2012.
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.