Compare Netezza vs. Vertica

Netezza is ranked 6th in Data Warehouse with 8 reviews while Vertica is ranked 3rd in Data Warehouse with 10 reviews. Netezza is rated 7.6, while Vertica is rated 8.6. The top reviewer of Netezza 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 "Its speed differentiates it from other columnars, and works on commodity hardware". Netezza is most compared with Oracle Exadata, SQL Server and IBM Db2, whereas Vertica is most compared with Amazon Redshift, Snowflake and Apache Hadoop. See our Netezza vs. Vertica report.
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Netezza Logo
9,762 views|6,694 comparisons
Vertica Logo
15,401 views|8,729 comparisons
Most Helpful Review
Find out what your peers are saying about Netezza vs. Vertica and other solutions. Updated: November 2019.
377,556 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.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.

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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.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.Bulk loads, batch loads, and micro-batch loads have made it possible for our organization to process near real-time ingestions and faster analytics.Any novice user can tune vertical queries with minimal training (or no training at all).Vertica gives knowledgeable users and DBAs excellent tools for tuning.

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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.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.

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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.Fact-to-fact joins on multi-billion record tables perform poorly.It needs integration with multiple clouds.It should provide a GUI interface for data management and tuning.Monitoring tools need to be lightweight. They should not take up heavy resources of the main server.If you do not utilize the tuning tools like projections, encoding, partitions, and statistics, then performance and scalability will suffer.It would be great if this were a managed service in AWS.

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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.Read the fine print carefully.I think it's starting to get a little expensive. Open source products are starting to get more robust, so I think that's something that they need to start looking at in terms of licensing.The first TB is free and you can use all the Vertica features. After 1TB you have to pay for licensing. The product is worth it, but be aware of this condition, and plan. The compression ratio is explained in the documentation.Start with license per 1TB. Starting from hundreds of TB there is unlimited licensing to be considered. Move historical data to HDFS/S3 which are significantly cheaper or even free.

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Ranking
6th
out of 30 in Data Warehouse
Views
9,762
Comparisons
6,694
Reviews
8
Average Words per Review
544
Avg. Rating
7.6
3rd
out of 30 in Data Warehouse
Views
15,401
Comparisons
8,729
Reviews
11
Average Words per Review
272
Avg. Rating
8.5
Top Comparisons
Compared 30% of the time.
Compared 13% of the time.
Compared 7% of the time.
Compared 13% of the time.
Compared 13% of the time.
Compared 13% of the time.
Also Known As
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
Learn
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.

Offer
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Sample Customers
Seattle Children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%
Retailer13%
Comms Service Provider13%
Pharma/Biotech Company7%
VISITORS READING REVIEWS
Software R&D Company35%
Retailer12%
Comms Service Provider10%
Financial Services Firm10%
REVIEWERS
Media Company21%
Software R&D Company21%
Marketing Services Firm17%
Comms Service Provider14%
VISITORS READING REVIEWS
Software R&D Company27%
Comms Service Provider21%
Financial Services Firm8%
Media Company5%
Company Size
REVIEWERS
Small Business16%
Midsize Enterprise10%
Large Enterprise74%
REVIEWERS
Small Business29%
Midsize Enterprise24%
Large Enterprise47%
VISITORS READING REVIEWS
Small Business10%
Midsize Enterprise26%
Large Enterprise64%
Find out what your peers are saying about Netezza vs. Vertica and other solutions. Updated: November 2019.
377,556 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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