Compare IBM Smart Analytics System vs. SAP NetWeaver Business Warehouse

IBM Smart Analytics System is ranked 15th in Data Warehouse while SAP NetWeaver Business Warehouse which is ranked 10th in Data Warehouse with 2 reviews. IBM Smart Analytics System is rated 0, while SAP NetWeaver Business Warehouse is rated 9.0. On the other hand, the top reviewer of SAP NetWeaver Business Warehouse writes "A powerful, feature-rich enterprise solution for business warehousing". IBM Smart Analytics System is most compared with Oracle Big Data Appliance, Oracle Database Appliance and Vertica, whereas SAP NetWeaver Business Warehouse is most compared with Snowflake.
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Ranking
15th
out of 30 in Data Warehouse
Views
1,431
Comparisons
480
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
10th
out of 30 in Data Warehouse
Views
1,161
Comparisons
118
Reviews
1
Average Words per Review
609
Avg. Rating
9.0
Top Comparisons
Also Known As
Smart Analytics SystemNetWeaver Business Warehouse, NetWeaver BusinessObjects Warehouse
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IBM
SAP
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.With NetWeaver Business Warehouse, you can quickly Capture, store, and consolidate your vital information with our real-time data warehouse platform. Tightly integrate your warehousing capabilities for a single version of the truth, decision-ready business intelligence, and accelerated operations.
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Learn more about SAP NetWeaver Business Warehouse
Sample Customers
WIdO AOK, EEKA Fashion, SSGC, GS RetailEMC Corporation, Takisada-Osaka Co. Ltd., Eldorado, Mozzart, The VELUX Group, AOK Bundesverband, Hilti Group, Nissha Printing Company Ltd., Asian Paints, Aareal Bank Group, Magazine zum Globus (Migros Group)
Find out what your peers are saying about Oracle, Teradata, Micro Focus and others in Data Warehouse. Updated: August 2019.
359,658 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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