Most Helpful Review
Find out what your peers are saying about Microsoft Parallel Data Warehouse vs. Netezza and other solutions. Updated: January 2019.
316,268 professionals have used our research since 2012.
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
It handles high volumes of data very well.
It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time.
The performance is most important to me, and it helps our ability to make business decisions quickly.
We are able to execute very complex queries. Over 90 percent of our query executions are one second or less. We do millions of queries everyday.
The underlying hardware that IBM provides with this appliance is made for a specific purpose, to serve performance on a large amount of data, and to do analytics as well. It is faster, when you compare it to any other product.
The most valuable feature would be the fact that it has been running for awhile in an appliance format.
The benefit is really because of the additional speed that we have and, truth be told, the more updated ETL processes and the revamped scheduler in general.
The data governance prospect... from what I've seen, that is a really powerful tool as well, to help with data lineage and keeping track of that.
Distribution concurrency control.
It needs more compatibility with common BI tools.
Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution.
The scalability is not as expected. The capacity in the black box is not enough.
Our main problem with it is concurrency. When there are too many users running Netezza at the same time, this is when we have the most complaints.
We are not able to scale. The only way to scale is to get another appliance, but we have a customers who would need us to hydrate the data between the two appliances, and Netezza does not do that.
The only issue is that it's not expandable.
In terms of features that I would like to see, one is the ability to actually scale out an architecture. Right now, if you buy one, it's fixed. There is no scale-up availability at all.
Concurrency limit needs to be increased somewhat.
LIke Teradata, we can’t add a node/SPU to the existing appliance.
Pricing and Cost Advice
Information Not Available
The pricing is very expensive. It has a lot CPUs with a lot of components in it. It also has built-in redundancy for resiliency reasons.
Netezza is a costly solution. It does serve a specific purpose but it's costlier than what's available in the market, if you go to the cloud.
out of 29 in Data Warehouse
out of 29 in Data Warehouse
Compared 26% of the time.
Compared 15% of the time.
Compared 14% of the time.
Compared 29% of the time.
Compared 11% of the time.
Compared 6% of the time.
Also Known As
|Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse|
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.
|IBM Netezza appliances are now part of IBM PureSystems - expert integrated systems with built in expertise, integration by design and a simplified user experience. Part of the PureData family, the Netezza appliance is now known as the PureData System for Analytics. It has the same key design tenets of simplicity, speed, scalability and analytics power that was fundamental to Netezza appliances.|
Learn more about Microsoft Parallel Data Warehouse
Learn more about Netezza
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Financial Services Firm47%
Comms Service Provider13%
Financial Services Firm44%
Comms Service Provider17%
Health, Wellness And Fitness Company9%