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IBM Netezza Performance Server vs Teradata comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 6, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
7.1
IBM Netezza Performance Server boosts business performance and ROI with faster queries, cost-saving compression, and platform integration.
Sentiment score
8.1
Teradata boosts analytics speed over 100%, enhancing customer service and satisfaction, with high ROI and user approval.
 

Customer Service

Sentiment score
6.4
IBM Netezza's support receives varied ratings, praised for quick deliveries but critiqued for inconsistent response times and support quality.
Sentiment score
7.0
Teradata's customer service is praised for expertise but criticized for delays, with ratings ranging from 6 to 10 out of 10.
The technical support from Teradata is quite advanced.
Customer support is very good, rated eight out of ten under our essential agreement.
 

Scalability Issues

Sentiment score
6.3
Users have mixed scalability experiences with IBM Netezza, citing limitations and suggesting cloud solutions for improved scalability.
Sentiment score
7.4
Teradata is praised for its scalability, speed, and flexibility, despite some complexity and cost challenges in cloud environments.
This expansion can occur without incurring downtime or taking systems offline.
Scalability is complex as you need to purchase a license and coordinate with Teradata for additional disk space and CPU.
 

Stability Issues

Sentiment score
7.8
IBM Netezza Performance Server is generally stable, with rare issues resolved quickly, relying on solid queries and architecture understanding.
Sentiment score
8.4
Teradata excels in stability with minimal downtime, robust architecture, 99.9% uptime, and reliable performance, despite minor large dataset issues.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
 

Room For Improvement

IBM Netezza Performance Server struggles with scalability, real-time integration, interface limitations, and requires improvements in concurrency and cloud capabilities.
Teradata users seek better transaction processing, enhanced scalability, modern interface, cloud focus, advanced analytics, and improved support and documentation.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
 

Setup Cost

IBM Netezza pricing varies; seen as cost-effective for long-term use but expensive for high performance and proprietary tech.
Teradata's high cost is justified by its superior performance, competitive total ownership costs, and flexible pricing models.
Initially, it may seem expensive compared to similar cloud databases, however, it offers significant value in performance, stability, and overall output once in use.
Teradata is much more expensive than SQL, which is well-performed and cheaper.
 

Valuable Features

IBM Netezza Performance Server offers fast, scalable data analytics with easy migration, optimized queries, and integrated hardware for reliability.
Teradata offers efficient, scalable data management with fast query performance, robust security, automation, and cloud flexibility for businesses.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
 

Categories and Ranking

IBM Netezza Performance Server
Ranking in Data Warehouse
11th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
33
Ranking in other categories
No ranking in other categories
Teradata
Ranking in Data Warehouse
3rd
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
76
Ranking in other categories
Customer Experience Management (5th), Backup and Recovery (19th), Data Integration (18th), Relational Databases Tools (7th), BI (Business Intelligence) Tools (10th), Marketing Management (6th), Cloud Data Warehouse (6th)
 

Mindshare comparison

As of December 2024, in the Data Warehouse category, the mindshare of IBM Netezza Performance Server is 4.3%, up from 3.9% compared to the previous year. The mindshare of Teradata is 17.1%, up from 14.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse
 

Featured Reviews

Shemal Gandhi - PeerSpot reviewer
A cost-effective data warehousing tool, but security features like TDE encryption are missing
The solution's maintenance is quite easy. One person is enough to maintain the solution. If you are using PostgreSQL as a database solution, then using IBM Netezza Performance Server is the logical choice since it is based on open-source Postgres. However, if you are using Oracle, data conversion can be tricky. So, in that case, you want to go ahead with Exadata. Overall, I rate IBM Netezza Performance Server a seven out of ten.
SurjitChoudhury - PeerSpot reviewer
Offers seamless integration capabilities and performance optimization features, including extensive indexing and advanced tuning capabilities
We created and constructed the warehouse. We used multiple loading processes like MultiLoad, FastLoad, and Teradata Pump. But those are loading processes, and Teradata is a powerful tool because if we consider older technologies, its architecture with nodes, virtual processes, and nodes is a unique concept. Later, other technologies like Informatica also adopted the concept of nodes from Informatica PowerCenter version 7.x. Previously, it was a client-server architecture, but later, it changed to the nodes concept. Like, we can have the database available 24/7, 365 days. If one node fails, other nodes can take care of it. Informatica adopted all those concepts when it changed its architecture. Even Oracle databases have since adapted their architecture to them. However, this particular Teradata company initially started with its own different type of architecture, which major companies later adopted. It has grown now, but initially, whatever query we sent it would be mapped into a particular component. After that, it goes to the virtual processor and down to the disk, where the actual physical data is loaded. So, in between, there's a map, which acts like a data dictionary. It also holds information about each piece of data, where it's loaded, and on which particular virtual processor or node the data resides. Because Teradata comes with a four-node architecture, or however many nodes we choose, the cost is determined by that initially. So, what type of data does each and every node hold? It's a shared-no architecture. So, whatever task is given to a virtual processor it will be processed. If there's a failure, then it will be taken care of by another virtual processor. Moreover, this solution has impacted the query time and data performance. In Teradata, there's a lot of joining, partitioning, and indexing of records. There are primary and secondary indexes, hash indexing, and other indexing processes. To improve query performance, we first analyze the query and tune it. If a join needs a secondary index, which plays a major role in filtering records, we might reconstruct that particular table with the secondary index. This tuning involves partitioning and indexing. We use these tools and technologies to fine-tune performance. When it comes to integration, tools like Informatica seamlessly connect with Teradata. We ensure the Teradata database is configured correctly in Informatica, including the proper hostname and properties for the load process. We didn't find any major complexity or issues with integration. But, these technologies are quite old now. With newer big data technologies, we've worked with a four-layer architecture, pulling data from Hadoop Lake to Teradata. We configure Teradata with the appropriate hostname and credentials, and use BTEQ queries to load data. Previously, we converted the data warehouse to a CLD model as per Teradata's standardized procedures, moving from an ETL to an EMT process. This allowed us to perform gap analysis on missing entities based on the model and retrieve them from the source system again. We found Teradata integration straightforward and compatible with other tools.
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Comparison Review

it_user232068 - PeerSpot reviewer
Aug 5, 2015
Netezza vs. Teradata
Original published at https://www.linkedin.com/pulse/should-i-choose-net Two leading Massively Parallel Processing (MPP) architectures for Data Warehousing (DW) are IBM PureData System for Analytics (formerly Netezza) and Teradata. I thought talking about the similarities and differences…
 

Top Industries

By visitors reading reviews
Educational Organization
74%
Financial Services Firm
6%
Computer Software Company
3%
Insurance Company
2%
Financial Services Firm
26%
Computer Software Company
11%
Manufacturing Company
8%
Healthcare Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about IBM Netezza Performance Server?
IBM Netezza Performance Server is a cost-effective solution.
What is your experience regarding pricing and costs for IBM Netezza Performance Server?
The solution has a yearly licensing fee, and users have to pay extra for support.
What needs improvement with IBM Netezza Performance Server?
Oracle Exadata's security features, like TDE encryption, are missing in IBM Netezza Performance Server.
Comparing Teradata and Oracle Database, which product do you think is better and why?
I have spoken to my colleagues about this comparison and in our collective opinion, the reason why some people may declare Teradata better than Oracle is the pricing. Both solutions are quite simi...
Which companies use Teradata and who is it most suitable for?
Before my organization implemented this solution, we researched which big brands were using Teradata, so we knew if it would be compatible with our field. According to the product's site, the comp...
Is Teradata a difficult solution to work with?
Teradata is not a difficult product to work with, especially since they offer you technical support at all levels if you just ask. There are some features that may cause difficulties - for example,...
 

Also Known As

Netezza Performance Server, Netezza
IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture
 

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Overview

 

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, Foxwoods
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