Compare Amazon Redshift vs. IBM Netezza Performance Server

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Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon and others in Cloud Data Warehouse. Updated: September 2021.
536,053 professionals have used our research since 2012.
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Pricing and Cost Advice
"The best part about this solution is the cost.""The part that I like best is that you only pay for what you are using.""My customers have implementations that cost about $500 a month for a very small one. I also have a customer with a monthly invoice of about $25,000 USD.""At the moment, pricing is a little bit on the higher side, although it depends on the size of the company.""The price of the solution is reasonable. According to the RA3 cluster particularly, it provides 128 GB of storage with only four nodes. If you can manage your computations processes with the help of materialized views and proper queries. I think the IP clusters are very useful and overall fair for the price."

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Questions from the Community
Top Answer: This service can merge and integrate well with all databases.
Top Answer: Planting is the primary key enforcement that should be improved but there is probably a reason that they don't follow the reference architecture. It means they are creating clones of the data shading… more »
Top Answer: We looked at performance server to replace our MAKO Appliances  IPS is really NPS 7.2.  Concurrency was still set at 48.  Performance server didn't make it to our POC. Take a look at Snowflake… more »
Top Answer: If you're still looking, we might be able to help. Take a look at https://smart-associates.biz/s...
Ranking
4th
Views
12,384
Comparisons
9,315
Reviews
14
Average Words per Review
499
Rating
7.4
9th
out of 30 in Data Warehouse
Views
6,641
Comparisons
4,809
Reviews
1
Average Words per Review
735
Rating
10.0
Comparisons
Also Known As
Netezza Performance Server, Netezza
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Overview

Amazon Redshift is a fast and powerful, fully managed, petabyte-scale data warehouse service in the cloud. Customers can start small for just $0.25 per hour with no commitments or upfront costs and scale to a petabyte or more for $1,000 per terabyte per year, less than a tenth of most other data warehousing solutions.

Traditional data warehouses require significant time and resource to administer, especially for large datasets. In addition, the financial cost associated with building, maintaining, and growing self-managed, on-premise data warehouses is very high. Amazon Redshift not only significantly lowers the cost of a data warehouse, but also makes it easy to analyze large amounts of data very quickly.

Amazon Redshift gives you fast querying capabilities over structured data using familiar SQL-based clients and business intelligence (BI) tools using standard ODBC and JDBC connections. Queries are distributed and parallelized across multiple physical resources. You can easily scale an Amazon Redshift data warehouse up or down with a few clicks in the AWS Management Console or with a single API call. Amazon Redshift automatically patches and backs up your data warehouse, storing the backups for a user-defined retention period. Amazon Redshift uses replication and continuous backups to enhance availability and improve data durability and can automatically recover from component and node failures. In addition, Amazon Redshift supports Amazon Virtual Private Cloud (Amazon VPC), SSL, AES-256 encryption and Hardware Security Modules (HSMs) to protect your data in transit and at rest.

As with all Amazon Web Services, there are no up-front investments required, and you pay only for the resources you use. Amazon Redshift lets you pay as you go. You can even try Amazon Redshift for free.

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.
Offer
Learn more about Amazon Redshift
Learn more about IBM Netezza Performance Server
Sample Customers
Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449
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, Foxwoods
Top Industries
REVIEWERS
Comms Service Provider31%
Retailer23%
Logistics Company15%
Manufacturing Company8%
VISITORS READING REVIEWS
Computer Software Company30%
Comms Service Provider13%
Media Company11%
Financial Services Firm7%
REVIEWERS
Financial Services Firm38%
Comms Service Provider13%
Insurance Company13%
Retailer13%
VISITORS READING REVIEWS
Computer Software Company31%
Comms Service Provider12%
Financial Services Firm12%
Insurance Company9%
Company Size
REVIEWERS
Small Business27%
Midsize Enterprise36%
Large Enterprise36%
REVIEWERS
Small Business16%
Midsize Enterprise9%
Large Enterprise75%
Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon and others in Cloud Data Warehouse. Updated: September 2021.
536,053 professionals have used our research since 2012.

Amazon Redshift is ranked 4th in Cloud Data Warehouse with 14 reviews while IBM Netezza Performance Server is ranked 9th in Data Warehouse with 1 review. Amazon Redshift is rated 7.4, while IBM Netezza Performance Server is rated 10.0. The top reviewer of Amazon Redshift writes "Scales according to our needs, which saves a lot in terms of upfront costs". On the other hand, the top reviewer of IBM Netezza Performance Server writes "We are now able to analyze products, stores, suppliers and sales as quickly as we need". Amazon Redshift is most compared with Snowflake, Microsoft Azure Synapse Analytics, Oracle Exadata, Teradata and Actian ParAccel, whereas IBM Netezza Performance Server is most compared with Oracle Exadata, Snowflake, SQL Server, Microsoft Azure Synapse Analytics and Cloudera Distribution for Hadoop.

We monitor all Cloud 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.