Compare IBM Smart Analytics System vs. Oracle Big Data Appliance

IBM Smart Analytics System is ranked 17th in Data Warehouse while Oracle Big Data Appliance is ranked 12th in Data Warehouse with 1 review. IBM Smart Analytics System is rated 0, while Oracle Big Data Appliance is rated 9.0. 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". IBM Smart Analytics System is most compared with Oracle Big Data Appliance, Oracle Database Appliance and Vertica, whereas Oracle Big Data Appliance is most compared with Oracle Exadata, Apache Hadoop and Teradata.
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Ranking
17th
out of 30 in Data Warehouse
Views
562
Comparisons
465
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
12th
out of 30 in Data Warehouse
Views
1,606
Comparisons
1,206
Reviews
1
Average Words per Review
388
Avg. Rating
9.0
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Also Known As
Smart Analytics System
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Overview
The IBM Smart Analytics System provides analytics capabilities on a data warehouse foundation. This integrated and optimized system combines advanced software with IBM server and storage hardware to address a range of analytics workloads and accelerate deployment to help achieve greater efficiency, lower cost and higher performance.

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

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Sample Customers
WIdO AOK, EEKA Fashion, SSGC, GS RetailCaixa Bank
Find out what your peers are saying about Oracle, Teradata, Micro Focus and others in Data Warehouse. Updated: October 2019.
372,906 professionals have used our research since 2012.
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.
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