Compare Microsoft Analytics Platform System vs. Oracle Big Data Appliance

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Most Helpful Review
Find out what your peers are saying about Microsoft Analytics Platform System vs. Oracle Big Data Appliance and other solutions. Updated: March 2021.
465,623 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
"This solution will connect to any database, you can combine databases, and you can create a cube or tabular model.""The Cube Solution is quite different when compared to the rest of the competition and has unique functionality for advanced analytics.""I like that it's integrated with other Azure products.""This is a well-integrated solution and that integration empowers results."

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

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Cons
"The flexibility of this solution needs to be improved because you cannot make changes at every one of the different steps.""Functionality needs to be more up-to-date with competing products.""The pricing model needs to be improved.""Machine learning and artificial intelligence capabilities need to be more friendly for beginning users.""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."

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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."

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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."

More Microsoft Analytics Platform System Pricing and Cost Advice »

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Questions from the Community
Top Answer: I like that it's integrated with other Azure products.
Top Answer: I think the biggest problem with the product is that it does a data ingest model, which is very expensive.
Top Answer: Our primary use case is for monitoring our servers. We have a virtual fleet within Azure and we monitor that.
Top Answer: This is a comprehensive solution that is easy to deploy.
Top Answer: The product should be simplified for the average user.
Top Answer: I am a consultant and I provide services that include this solution. One of my customer's use cases was regulatory work, specifically with a Medicare application. The solution was designed for… more »
Ranking
16th
out of 30 in Data Warehouse
Views
903
Comparisons
508
Reviews
4
Average Words per Review
839
Rating
6.3
15th
out of 30 in Data Warehouse
Views
1,184
Comparisons
947
Reviews
2
Average Words per Review
477
Rating
8.0
Popular Comparisons
Also Known As
Microsoft APS
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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

Offer
Learn more about Microsoft Analytics Platform System
Learn more about Oracle Big Data Appliance
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
Computer Software Company29%
Comms Service Provider16%
Media Company14%
Financial Services Firm8%
VISITORS READING REVIEWS
Computer Software Company48%
Comms Service Provider15%
Financial Services Firm10%
Energy/Utilities Company6%
Company Size
REVIEWERS
Small Business38%
Large Enterprise63%
No Data Available
Find out what your peers are saying about Microsoft Analytics Platform System vs. Oracle Big Data Appliance and other solutions. Updated: March 2021.
465,623 professionals have used our research since 2012.

Microsoft Analytics Platform System is ranked 16th in Data Warehouse with 4 reviews while Oracle Big Data Appliance is ranked 15th in Data Warehouse with 2 reviews. Microsoft Analytics Platform System is rated 6.2, while Oracle Big Data Appliance is rated 8.0. The top reviewer of Microsoft Analytics Platform System writes "Has unique functionality for advanced analytics but could use enhancement in machine learning and AI features". On the other hand, the top reviewer of Oracle Big Data Appliance writes "End-users can build the reports by themselves without really knowing anything about databases". Microsoft Analytics Platform System is most compared with Microsoft Azure Synapse Analytics, Microsoft Parallel Data Warehouse, Apache Hadoop, Oracle Exadata and Amazon Redshift, whereas Oracle Big Data Appliance is most compared with Oracle Exadata, Apache Hadoop, IBM Integrated Analytics System, Teradata and IBM Netezza Performance Server. See our Microsoft Analytics Platform System vs. Oracle Big Data Appliance report.

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.