Compare IBM Smart Analytics System vs. SAND

IBM Smart Analytics System is ranked 15th in Data Warehouse while SAND which is ranked 28th in Data Warehouse. IBM Smart Analytics System is rated 0, while SAND is rated 0. On the other hand, IBM Smart Analytics System is most compared with Oracle Big Data Appliance, Oracle Database Appliance and Vertica, whereas SAND is most compared with .
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IBM Smart Analytics System Logo
1,431 views|480 comparisons
SAND Logo
189 views|41 comparisons
Ranking
15th
out of 30 in Data Warehouse
Views
1,431
Comparisons
480
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
28th
out of 30 in Data Warehouse
Views
189
Comparisons
41
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Find out what your peers are saying about Oracle, Teradata, Micro Focus and others in Data Warehouse. Updated: August 2019.
360,582 professionals have used our research since 2012.
Top Comparisons
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.

SAND delivers a world class performing Enterprise Analytic Database Platform. The SAND Platform is a patented columnar database management system (CDBMS), delivering optimal performance for every user. Generation based concurrency control (GBCC) technology supports thousands of concurrent users with massive and constantly growing data. SAND delivers on the promise of sharing data throughout the Enterprise, providing instant access, driving decision-making, and ensuring the best information is in the hands of the right people at the right time.

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Sample Customers
WIdO AOK, EEKA Fashion, SSGC, GS Retail
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Find out what your peers are saying about Oracle, Teradata, Micro Focus and others in Data Warehouse. Updated: August 2019.
360,582 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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