Compare IBM Netezza Performance Server vs. Vertica

IBM Netezza Performance Server is ranked 5th in Data Warehouse with 5 reviews while Vertica is ranked 6th in Data Warehouse with 4 reviews. IBM Netezza Performance Server is rated 8.0, while Vertica is rated 9.0. The top reviewer of IBM Netezza Performance Server writes "The underlying hardware is made for performance on large amounts of data, and for analytics". On the other hand, the top reviewer of Vertica writes "Allows us to take volumes and process them at a very high speed". IBM Netezza Performance Server is most compared with Oracle Exadata, SQL Server, IBM Db2 Database, Snowflake and Amazon Redshift, whereas Vertica is most compared with Snowflake, Apache Hadoop, Teradata, Amazon Redshift and Citus Data. See our IBM Netezza Performance Server vs. Vertica report.
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Most Helpful Review
Find out what your peers are saying about IBM Netezza Performance Server vs. Vertica and other solutions. Updated: July 2020.
430,585 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:

Pros
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.

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Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data.Allows us to take volumes and process them at a very high speed.The performance is very good and the aggregate records are fast.Eighty percent of the ETL operations have improved since implementing this solution.It maximize cloud economics for mission-critical big data analytical initiatives.It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands.

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Cons
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.

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Support is an area where it could get better.Promotion/marketing must be improved, even though it is a very useful product at very good price, it is not as "popular" as it should be.When it is about to reach the maximum storage capacity, it becomes slow.Fact-to-fact joins on multi-billion record tables perform poorly.It needs integration with multiple clouds.

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Pricing and Cost Advice
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.

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It is fast to purchase through the AWS Marketplace.The pricing and licensing depend on the size of your environment and the zone where you want to implement.

More Vertica Pricing and Cost Advice »

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Ranking
5th
out of 32 in Data Warehouse
Views
9,656
Comparisons
6,854
Reviews
5
Average Words per Review
535
Avg. Rating
8.0
6th
out of 32 in Data Warehouse
Views
15,293
Comparisons
8,760
Reviews
4
Average Words per Review
199
Avg. Rating
9.0
Popular Comparisons
Compared 22% of the time.
Compared 12% of the time.
Compared 10% of the time.
Compared 9% of the time.
Compared 2% of the time.
Also Known As
Netezza Performance Server, NetezzaMicro Focus Vertica, HPE Vertica, HPE Vertica on Demand
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IBM
Micro Focus
Overview
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.

Micro Focus Vertica is the most advanced SQL database analytics portfolio built from the very first line of code to address the most demanding Big Data analytics initiatives. Micro Focus Vertica delivers speed without compromise, scale without limits, and the broadest range of consumption models. Choose Vertica on premise, on demand, in the cloud, or on Hadoop. With support for all leading BI and visualization tools, open source technologies like Hadoop and R, and built-in analytical functions, Vertica helps you derive more value from your Enterprise Data Warehouse and data lakes and get to market faster with your analytics initiatives.

To learn more about Micro Focus Vertica Advanced Analytics, visit our website.

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Sample Customers
Seattle ChildrenĀs Hospital, Carphone Warehouse, Vanderbilt University School of Medicine, Battelle, Start Today Co. Ltd., Kelley Blue Book, Trident Marketing, Elisa Corporation, Catalina Marketing, iBasis, Barnes & Noble, Qualcomm, MediaMath, Acxiom, iBasis, FoxwoodsCerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Top Industries
REVIEWERS
Financial Services Firm40%
Comms Service Provider13%
Retailer13%
Healthcare Company7%
VISITORS READING REVIEWS
Computer Software Company47%
Comms Service Provider9%
Media Company9%
Retailer7%
REVIEWERS
Media Company21%
Computer Software Company21%
Marketing Services Firm17%
Comms Service Provider14%
VISITORS READING REVIEWS
Computer Software Company43%
Comms Service Provider11%
Media Company9%
K 12 Educational Company Or School5%
Find out what your peers are saying about IBM Netezza Performance Server vs. Vertica and other solutions. Updated: July 2020.
430,585 professionals have used our research since 2012.

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