Microsoft Analytics Platform System vs Oracle Big Data Appliance comparison

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Executive Summary

We performed a comparison between Microsoft Analytics Platform System 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).
765,234 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
"The Cube Solution is quite different when compared to the rest of the competition and has unique functionality for advanced analytics.""Helps our customers to discover trends, which provides useful information based on their business.""This solution will connect to any database, you can combine databases, and you can create a cube or tabular model.""This is a well-integrated solution and that integration empowers results.""We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services.""Microsoft Analytics Platform System's most valuable feature is its ecosystems and seamless integration with other Microsoft reporting platforms and databases.""I like that it's integrated with other Azure products.""It is closely integrated with other products in the MS portfolio."

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"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.""This is a comprehensive solution that is easy to deploy."

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Cons
"I think the biggest problem with the product is that it does a data ingest model, which is very expensive.""Releases of new products and functionality is never accompanied by associated documentation, training and resources that adequately explain the release.""Machine learning and artificial intelligence capabilities need to be more friendly for beginning users.""Functionality needs to be more up-to-date with competing products.""​Hybrid environments are complex to manage.""The flexibility of this solution needs to be improved because you cannot make changes at every one of the different steps.""We need better real-time analytics capabilities. It's a bit challenging for us.""Microsoft Analytics Platform System could have better support."

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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."

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Pricing and Cost Advice
  • "The initial price is lower than Oracle, but extensive use of SQL may lead to a higher total cost of ownership."
  • "Users have to pay extra for premium-level technical support."
  • "We are currently paying $200,000 a year for all the different parts of the suite during an ingest model Microsoft now charges us $700,000 a year."
  • "I rate Microsoft Analytics Platform System a seven out of ten for pricing."
  • More Microsoft Analytics Platform System 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:We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services.
    Top Answer:It's not too confusing. It's based on features, and we don't have to buy additional licenses.
    Top Answer:We need better real-time analytics capabilities. It's a bit challenging for us. Moreover, there are some permission limitations.
    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
    17th
    out of 33 in Data Warehouse
    Views
    359
    Comparisons
    266
    Reviews
    2
    Average Words per Review
    439
    Rating
    7.5
    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
    Microsoft APS, MS Analytics Platform System
    Learn More
    Overview
    The Microsoft Analytics Platform System can meet the demands of your evolving data warehouse environment with its scale-out, massively parallel processing integrated system supporting hybrid data warehouse scenarios. It provides the ability to query across relational and non-relational data by leveraging Microsoft PolyBase and industry-leading big data technologies. It offers the lowest price per terabyte for large data warehouse workloads.

    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
    Transport for London, E-Plus Mobilfunk GmbH & Co. KG, Prometeia, Tangerine, SSM Health Care, Service Corporation International
    Caixa Bank
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm13%
    Computer Software Company10%
    University10%
    Government9%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    University10%
    Computer Software Company10%
    Government6%
    Company Size
    REVIEWERS
    Small Business36%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise6%
    Large Enterprise73%
    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.
    765,234 professionals have used our research since 2012.

    Microsoft Analytics Platform System is ranked 17th in Data Warehouse with 9 reviews while Oracle Big Data Appliance is ranked 12th in Data Warehouse with 5 reviews. Microsoft Analytics Platform System is rated 6.6, while Oracle Big Data Appliance is rated 8.0. The top reviewer of Microsoft Analytics Platform System writes "Offers smooth data integration between systems, but requires better real-time analytics capabilities". 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 Analytics Platform System is most compared with Microsoft Azure Synapse Analytics, Teradata, IBM Netezza Performance Server and Snowflake, whereas Oracle Big Data Appliance is most compared with Oracle Exadata, Apache Hadoop, Teradata and Microsoft Azure Synapse Analytics.

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    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.