Microsoft Azure Synapse Analytics vs Oracle Big Data Appliance comparison

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Executive Summary

We performed a comparison between Microsoft Azure Synapse Analytics and Oracle Big Data Appliance based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse.
To learn more, read our detailed Data Warehouse Report (Updated: March 2024).
765,386 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
"The main advantage of using this solution is its ability to scale and handle very large amounts of data, in the petabyte range.""I like how Microsoft Azure Synapse Analytics integrates with other Microsoft solutions.""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.""I like its performance. It is well-structured and offers a lot of practical options. Because of the visual design of the product, it is very easy to find icons and other visual elements. It took me more than two weeks to understand how it works. I had an intensive training session to understand it, which was enough. It was not hard to understand how it works.""Azure Synapse combines the strengths of SQL technologies for effective enterprise data management.""The most valuable feature is that you can suspend the computer if it is not being used, which means that you don't incur costs.""The most valuable feature of the solution is the analytics and that it can connect with Power BI.""-"

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"This is a comprehensive solution that is easy to deploy.""The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases.""Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard."

More Oracle Big Data Appliance Pros →

Cons
"I would like to see them provide the ingestion of images.""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.""Microsoft Azure Synapse Analytics could improve its compatibility with Visual Studio. One of the challenges for people moving from an on-premise to a cloud solution, such as Microsoft Azure Synapse Analytics, is that you're constantly working in a browser. There are people that have been working for decades on desktop applications. For them to start working in a browser, it's quite a change. Allowing people to work and do their work inside Visual Studio than in the browser, would be a large advantage.""There is a limit on the number of concurrent queries to around 125 for Azure Synapse.""Integration with other vendors has limitations and could be improved.""Documentation could be improved.""Synapse Analytics is generally stable, but its performance can be slow when performing very large datasets.""Microsoft Azure Synapse Analytics's overall integration within the Azure ecosystem could improve. The native Microsoft solution versus another solution, such as Databricks, there are areas where there could be some improvements."

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"It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier.""The product should be simplified for the average user.""From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera."

More Oracle Big Data Appliance Cons →

Pricing and Cost Advice
  • "The price of this solution could be improved."
  • "The pricing is okay. You can pay as you go."
  • "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."
  • "When we are not using this solution we can simply shut it down saving us costs, which is a nice advantage."
  • "The licensing fees for this solution are on a pay-per-use basis, and not very expensive."
  • "All of the prices are available online."
  • "Our license is very expensive"
  • "They are cost aggressive, and it integrates well with other Microsoft tools."
  • More Microsoft Azure Synapse Analytics Pricing and Cost Advice →

  • "Oracle's prices are too high compared to others in the market."
  • More Oracle Big Data Appliance 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:It is a highly stable solution and it's easy to use.
    Top Answer:Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard.
    Top Answer:From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera. Oracle could also improve Big Data… more »
    Top Answer:I use Big Data Appliance to have a single source of truth for my data and to keep all my data in one place.
    Ranking
    2nd
    Views
    19,142
    Comparisons
    9,225
    Reviews
    37
    Average Words per Review
    462
    Rating
    8.1
    12th
    out of 33 in Data Warehouse
    Views
    850
    Comparisons
    668
    Reviews
    1
    Average Words per Review
    235
    Rating
    8.0
    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."


    Oracle Big Data Appliance is a flexible, high-performance, secure platform for running diverse workloads on Hadoop and NoSQL systems. With Oracle Big Data SQL, Oracle Big Data Appliance extends Oracle’s industry-leading implementation of SQL to Hadoop and NoSQL systems. By combining the newest technologies from the Hadoop ecosystem and powerful Oracle SQL capabilities together on a single pre-configured platform, Oracle Big Data Appliance is uniquely able to support rapid development of new Big Data applications and tight integration with existing relational data.

    For more information on Oracle Big Data Appliance, visit Oracle.com

    Sample Customers
    Toshiba, Carnival, LG Electronics, Jet.com, Adobe, 
    Caixa Bank
    Top Industries
    REVIEWERS
    Computer Software Company19%
    Financial Services Firm13%
    Manufacturing Company11%
    Comms Service Provider11%
    VISITORS READING REVIEWS
    Educational Organization31%
    Computer Software Company11%
    Financial Services Firm8%
    Manufacturing Company5%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    University10%
    Computer Software Company10%
    Government6%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise18%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise39%
    Large Enterprise47%
    REVIEWERS
    Small Business14%
    Midsize Enterprise14%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise13%
    Large Enterprise66%
    Buyer's Guide
    Data Warehouse
    March 2024
    Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 85 reviews while Oracle Big Data Appliance is ranked 12th in Data Warehouse with 5 reviews. Microsoft Azure Synapse Analytics is rated 8.0, while Oracle Big Data Appliance is rated 8.0. The top reviewer of Microsoft Azure Synapse Analytics writes "No competitors provide the entire solution to one place ". On the other hand, the top reviewer of Oracle Big Data Appliance writes "Fast, and you don't need technical expertise to use it and produce results". Microsoft Azure Synapse Analytics is most compared with Azure Data Factory, Snowflake, SAP BW4HANA, Amazon Redshift and Teradata, whereas Oracle Big Data Appliance is most compared with Oracle Exadata, Apache Hadoop and Teradata.

    See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.

    We monitor all 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.