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Microsoft Azure Synapse Analytics vs Oracle Autonomous Data Warehouse comparison

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Buyer's Guide
Microsoft Azure Synapse Analytics vs. Oracle Autonomous Data Warehouse
July 2022
Find out what your peers are saying about Microsoft Azure Synapse Analytics vs. Oracle Autonomous Data Warehouse and other solutions. Updated: July 2022.
620,600 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 is the level of processing power, and being able to complete tasks in parallel.""The speed is great and the architecture is excellent.""The solution offers strong scalability opportunities.""I think the most valuable component is that pipelines are built into it and then the feature that you can mirror a cosmos BB for analytics.""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.""Synapse Analytics' best features are notebooks, pipelines, and monitoring.""We've had a good experience with technical support in general."

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"The solution integrates well with Power BI.""One advantage is that if you already have an Oracle Database, it easily integrates with that.""The performance and scalability are awesome.""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
"While the solution is flexible, sometimes this works against the user.""If I'm looking for something good in the cloud, I would want it to have better standard connectors.""Documentation could be improved.""The initial setup is complex.""It needs strong support for social media, internet data, and native support for NoSQL.""I am a researcher. For people to be able to research a solution, there should be at least a free trial. Just advertising a product or saying that this product is better doesn't work. I would strongly recommend providing a lot of free trials and trainings. This will also help Microsoft in having more users or customers. Oracle provides some free trials. You can just go for a free trial and use your database online, which is very good.""Right now, we are really struggling with the performance. it's not as good as we had hoped.""I'd like to see part of the service de-coupled."

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"The solution could be improved by allowing for migration tools from other cloud services, including migration from Amazon Redshift, RDS, and Aurora.""The initial setup was pretty complex. It was not easy.""It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment.""It doesn't work well when you have unstructured data or you need online analytics. It is not as nice as Hadoop in these aspects."

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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 →

  • "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."
  • 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: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
    33,074
    Comparisons
    22,599
    Reviews
    44
    Average Words per Review
    491
    Rating
    7.9
    9th
    Views
    5,438
    Comparisons
    4,095
    Reviews
    3
    Average Words per Review
    575
    Rating
    9.0
    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

    Microsoft Azure Synapse Analytics is an end-to-end analytics solution that successfully combines analytical services to merge big data analytics and enterprise data warehouses into a single unified platform. The solution can run intelligent distributed queries among nodes, and provides the ability to query both relational and non-relational data.

    Microsoft Azure Synapse Analytics is built with these 4 components:

    1. Synapse SQL
    2. Spark
    3. Synapse Pipeline
    4. Studio

    Microsoft Azure Synapse Analytics Features

    Microsoft Azure Synapse Analytics has many valuable key features, including:

    • Cloud Data Service: WIth Microsoft Azure Synapse Analytics you can operate services (data analytics, machine learning, data warehousing, dashboarding, etc.) in a single workspace via the cloud.

    • Structured and unstructured data: Microsoft Azure Synapse Analytics supports both structured and unstructured data and allows you to manage relational and non-relational data - unlike data warehouses and lakes that tend to store them respectively.

    • Effective data storage: Microsoft Azure Synapse Analytics offers next-level data storage with high availability and different tiers.

    • Responsive data engine: Microsoft Azure Synapse Analytics uses Massive Parallel Processing (MPP) and is designed to handle large volumes of data and analytical workloads efficiently without any problems.

    • Several scripting languages: The solution provides language compatibility and supports different programming languages, such as Python, Java, Spark SQL, and Scala.

    • Query optimization: Microsoft Azure Synapse Analytics works well to facilitate limitless concurrency and performance optimization. It also simplifies workload management.

    Microsoft Azure Synapse Analytics Benefits

    Some of the benefits of using Microsoft Azure Synapse Analytics include:

    • Database templates: Microsoft Azure Synapse Analytics offers industry-specific database templates that make it easy to combine and shape data.

    • Better business insights: With Microsoft Azure Synapse Analytics you can expand discovery of insights from all your data and apply machine learning models to all your intelligent apps.

    • Reduce project development time: Microsoft Azure Synapse Analytics makes it possible to have a unified experience for developing end-to-end analytics, which reduces project development time significantly.

    • Eliminate data barriers: By using Microsoft Azure Synapse Analytics, you can perform analytics on operational and business apps data without data movement.

    • Advanced security: Microsoft Azure Synapse Analytics provides both advanced security and privacy features to ensure data protection.

    • Machine Learning: Microsoft Azure Synapse Analytics integrates Azure Machine Learning, Azure Cognitive Services, and Power BI.

    Reviews from Real Users

    Below are some reviews and helpful feedback written by Microsoft Azure Synapse Analytics users who are currently using the solution.

    PeerSpot user Jael S., who is an Information Architect at Systems Analysis & Design Engineering, comments on her experience using the product, saying that it is “Scalable, intuitive, facilitates compliance and keeps your data secure”. She also says "We also like governance. It looks at what the requirements are for the company to identify the best way to ensure compliance is met when you move to the cloud."

    Michel T., CHTO at Timp-iT, mentions that "the features most valuable are the simplicity, how easy it is to create a dashboard from different information systems."

    A Senior Teradata Consultant at a tech services company says, "Microsoft provides both the platform and the data center, so you don't have to look for a cloud vendor. It saves you from having to deal with two vendors for the same task."


    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 Company25%
    Manufacturing Company11%
    Comms Service Provider11%
    Healthcare Company11%
    VISITORS READING REVIEWS
    Computer Software Company25%
    Comms Service Provider16%
    Financial Services Firm7%
    Energy/Utilities Company6%
    VISITORS READING REVIEWS
    Computer Software Company41%
    Comms Service Provider11%
    Government9%
    Financial Services Firm5%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise24%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise15%
    Large Enterprise67%
    REVIEWERS
    Small Business40%
    Midsize Enterprise10%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise12%
    Large Enterprise75%
    Buyer's Guide
    Microsoft Azure Synapse Analytics vs. Oracle Autonomous Data Warehouse
    July 2022
    Find out what your peers are saying about Microsoft Azure Synapse Analytics vs. Oracle Autonomous Data Warehouse and other solutions. Updated: July 2022.
    620,600 professionals have used our research since 2012.

    Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 44 reviews while Oracle Autonomous Data Warehouse is ranked 9th in Cloud Data Warehouse with 4 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 "Integrates well with other cloud services, provides great ROI and guarantees 99.995% up-time". Microsoft Azure Synapse Analytics is most compared with Snowflake, Amazon Redshift, Azure Data Factory, Apache Hadoop and AWS Lake Formation, whereas Oracle Autonomous Data Warehouse is most compared with Oracle Exadata, Snowflake, Amazon Redshift, BigQuery and Azure Data Factory. 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.