Compare IBM Smart Analytics System vs. Microsoft Parallel Data Warehouse

IBM Smart Analytics System is ranked 15th in Data Warehouse while Microsoft Parallel Data Warehouse which is ranked 13th in Data Warehouse with 2 reviews. IBM Smart Analytics System is rated 0, while Microsoft Parallel Data Warehouse is rated 4.6. On the other hand, the top reviewer of Microsoft Parallel Data Warehouse writes "Concurrency issues forced the customer to use the raw DB as a secondary solution". IBM Smart Analytics System is most compared with Oracle Big Data Appliance, Oracle Database Appliance and Vertica, whereas Microsoft Parallel Data Warehouse is most compared with Oracle Exadata, Snowflake and Teradata.
Cancel
You must select at least 2 products to compare!
Most Helpful Review
Use IBM Smart Analytics System? Share your opinion.
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.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

report
Use our free recommendation engine to learn which Data Warehouse solutions are best for your needs.
360,582 professionals have used our research since 2012.
Ranking
15th
out of 30 in Data Warehouse
Views
1,431
Comparisons
480
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
13th
out of 30 in Data Warehouse
Views
6,784
Comparisons
2,310
Reviews
2
Average Words per Review
116
Avg. Rating
4.5
Top Comparisons
Also Known As
Smart Analytics SystemMicrosoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse
Learn
IBM
Microsoft
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.

The traditional structured relational data warehouse was never designed to handle the volume of exponential data growth, the variety of semi-structured and unstructured data types, or the velocity of real time data processing. Microsoft's SQL Server data warehouse solution integrates your traditional data warehouse with non-relational data and it can handle data of all sizes and types, with real-time performance.

Offer
Learn more about IBM Smart Analytics System
Learn more about Microsoft Parallel Data Warehouse
Sample Customers
WIdO AOK, EEKA Fashion, SSGC, GS RetailAuckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel Europe
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.
Sign Up with Email