Compare IBM Integrated Analytics System vs. Microsoft Parallel Data Warehouse

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Find out what your peers are saying about Snowflake Computing, Oracle, Apache and others in Data Warehouse. Updated: May 2021.
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Pricing and Cost Advice
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"I think the program is well-priced compared to the other offerings that are out in the market.""Microsoft has an agreement with the government in our country, so our customers get their licensing costs from the Ministry. Whenever we work with any government, company, or government institute, which is mainly what we are doing, that license comes directly from the Ministry of Technology and Information.""All the features that we use do not require any additional subscription or yearly fees."

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Top Answer: I'd like to connect something like ES that I can use on objects on our SQL Server. We'd like to be able to understand how to export data to something like Semantic Technologies or like Graph DB. Some… more »
Ranking
19th
out of 30 in Data Warehouse
Views
381
Comparisons
308
Reviews
0
Average Words per Review
0
Rating
N/A
6th
out of 30 in Data Warehouse
Views
2,586
Comparisons
1,913
Reviews
11
Average Words per Review
486
Rating
7.6
Popular Comparisons
Also Known As
Smart Analytics System, IBM Smart Analytics System
Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse, MS Parallel Data Warehouse, MS Parallel Data Warehouse, MS Parallel Data Warehouse
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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.

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.

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Sample Customers
WIdO AOK, EEKA Fashion, SSGC, GS Retail
Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel Europe
Top Industries
No Data Available
REVIEWERS
Computer Software Company27%
Pharma/Biotech Company18%
Comms Service Provider9%
Hospitality Company9%
VISITORS READING REVIEWS
Computer Software Company26%
Comms Service Provider12%
Financial Services Firm10%
Energy/Utilities Company6%
Company Size
No Data Available
REVIEWERS
Small Business32%
Midsize Enterprise18%
Large Enterprise50%
Find out what your peers are saying about Snowflake Computing, Oracle, Apache and others in Data Warehouse. Updated: May 2021.
502,104 professionals have used our research since 2012.

IBM Integrated Analytics System is ranked 19th in Data Warehouse while Microsoft Parallel Data Warehouse is ranked 6th in Data Warehouse with 11 reviews. IBM Integrated Analytics System is rated 0.0, while Microsoft Parallel Data Warehouse is rated 7.6. On the other hand, the top reviewer of Microsoft Parallel Data Warehouse writes "Collects data through SSIS packages from different sources and puts them all in one data repository". IBM Integrated Analytics System is most compared with IBM Netezza Performance Server, Oracle Big Data Appliance, Oracle Database Appliance, Vertica and Oracle Exadata, whereas Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake, VMware Tanzu Greenplum and Teradata.

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.