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Microsoft Azure Synapse Analytics vs Oracle Autonomous Data Warehouse comparison

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Featured Review
Find out what your peers are saying about Microsoft Azure Synapse Analytics vs. Oracle Autonomous Data Warehouse and other solutions. Updated: January 2022.
565,304 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 pricing seems to be quite fair.""They are very reliable and cost-effective.""The useability, the user interface, is very user-friendly.""The most valuable features of Microsoft Azure Synapse Analytics are how easy and quick it is to set up the linked services.""The features most valuable are the simplicity, how easy it is to create a dashboard from different information systems.""The integrated workspace in Microsoft Azure Synapse Analytics where everything comes together, such as Power BI and Data Factory, is very good. Additionally, the ability to do dedicated SQL pooling is a benefit.""The stability is pretty good.""Fills the gap between big data and classic data warehouses."

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"The solution integrates well with Power BI.""The analytics have been very good. We've found them to be quite useful.""The solution is self-securing. All data is encrypted and security updates and patches are applied automatically both periodically and off-cycle.""The performance and scalability are awesome.""It provides Transparent Data Encryption (TDE) capabilities by default to address data security issues.""Self-patching and runs machine-learning across its logs all the time"

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Cons
"The product could be more feature-rich.""It's a complicated product.""If I'm looking for something good in the cloud, I would want it to have better standard connectors.""Comes with a pretty steep learning curve.""Right now, we are really struggling with the performance. it's not as good as we had hoped.""Integration with other products is an area that can be improved.""Documentation could be improved.""It would be beneficial to take the top vendors and identify some kind of straightforward action to work with them. Instead of having to employ a separate vendor tool to be able to move this, it would be nice to be able to go through Microsoft."

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"The initial setup was pretty complex. It was not easy.""Ease of connectivity could be improved.""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.""It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment.""The solution could be improved by allowing for migration tools from other cloud services, including migration from Amazon Redshift, RDS, and Aurora."

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Pricing and Cost Advice
  • "All of the prices are available online."
  • "Our license is very expensive"
  • "They are cost aggressive, and it integrates well with other Microsoft tools."
  • "There is a cost calculator available online that allows you to input your entire scenario, and it will get back to you with information on what the costs are going to be."
  • "Its price could be better. It was a school project, and I got it for free. If I try to pay through my company, it is a little bit more expensive as compared to Oracle."
  • "The price of the package not expensive and depends on how much it is used."
  • "The cost of the licensing depends on the size of the warehouse, where the cost of storage is approximately $130 USD per terabyte."
  • "This is a cost-effective product."
  • More Microsoft Azure Synapse Analytics Pricing and Cost Advice →

  • "ROI is high."
  • "You pay as you go, and you don't pay for services that you don't use."
  • More Oracle Autonomous Data Warehouse Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: 
    Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different… more »
    Top Answer: 
    Traditional ETL would usually use a dedicated database (or even database server) where you'll load & transform your raw data before ingesting it into the final destination. This would allow checking… more »
    Top Answer: 
    Fills the gap between big data and classic data warehouses.
    Top Answer: 
    You pay as you go, and you don't pay for services that you don't use. If you feel that you need additional resources then you can increase them and pay only for them. There is no need to worry about… more »
    Top Answer: 
    It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment. On-premises, you can integrate with different vendors such as Microsoft. There… more »
    Ranking
    2nd
    Views
    26,962
    Comparisons
    19,760
    Reviews
    31
    Average Words per Review
    530
    Rating
    8.0
    6th
    Views
    5,138
    Comparisons
    3,929
    Reviews
    6
    Average Words per Review
    604
    Rating
    8.7
    Comparisons
    Also Known As
    Azure Synapse Analytics, Microsoft Azure SQL Data Warehouse, Microsoft Azure SQL DW, Azure SQL Data Warehouse, MS Azure Synapse Analytics
    Learn More
    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 Synapse Analytics
    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
    REVIEWERS
    Computer Software Company21%
    Comms Service Provider16%
    Manufacturing Company11%
    Insurance Company11%
    VISITORS READING REVIEWS
    Computer Software Company27%
    Comms Service Provider18%
    Financial Services Firm6%
    Energy/Utilities Company6%
    VISITORS READING REVIEWS
    Computer Software Company46%
    Comms Service Provider13%
    Government6%
    Financial Services Firm4%
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise21%
    Large Enterprise46%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise13%
    Large Enterprise71%
    REVIEWERS
    Small Business44%
    Large Enterprise56%
    Find out what your peers are saying about Microsoft Azure Synapse Analytics vs. Oracle Autonomous Data Warehouse and other solutions. Updated: January 2022.
    565,304 professionals have used our research since 2012.

    Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 34 reviews while Oracle Autonomous Data Warehouse is ranked 6th in Cloud Data Warehouse with 6 reviews. Microsoft Azure Synapse Analytics is rated 7.8, while Oracle Autonomous Data Warehouse is rated 8.6. The top reviewer of Microsoft Azure Synapse Analytics writes "Scalable, intuitive, facilitates compliance and keeping your data secure". On the other hand, the top reviewer of Oracle Autonomous Data Warehouse writes "Self-patching means I generally don't need a DBA; detailed analytics make it very capable". Microsoft Azure Synapse Analytics is most compared with Snowflake, Amazon Redshift, SAP BW4HANA, Apache Hadoop and AWS Lake Formation, whereas Oracle Autonomous Data Warehouse is most compared with Snowflake, Oracle Exadata, Amazon Redshift, Teradata and Apache Hadoop. See our Microsoft Azure Synapse Analytics 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.