IBM Netezza Performance Server vs Teradata vs Vertica comparison

IBM Netezza Performance Server

Read 76 Teradata reviews

4,089 Views
3,103 Comparison Views

87% willing to recommend

Vertica

Read 86 Vertica reviews

2,233 Views
1,718 Comparison Views

91% willing to recommend

Vertica

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Executive Summary

We performed a comparison between IBM Netezza Performance Server, Teradata, and Vertica based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse.

To learn more, read our detailed Data Warehouse Report (Updated: April 2025).

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Review summaries and opinions

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

Mindshare comparison

As of May 2025, in the Data Warehouse category, the mindshare of IBM Netezza Performance Server is 4.3%, up from 3.7% compared to the previous year. The mindshare of Teradata is 15.9%, up from 15.5% compared to the previous year. The mindshare of Vertica is 8.5%, down from 8.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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Featured Reviews

Shiv Subramaniam Koduvayur

Project Manager at MAF Retail

Parallel data processing streamlines operations while cost and cloud integration challenge adoption

The cost of the solution is on the more expensive side, which is a concern for me. Additionally, its promotion and interaction with cloud applications are limited. The cloud version is only available in AWS, and in the Middle East, it is not well-developed in the Azure environment. For the cost to be reduced, it should match competitors. Many features need to be incorporated on the cloud.

Offers seamless integration capabilities and performance optimization features, including extensive indexing and advanced tuning capabilities

SurjitChoudhury

Data engineer at Cocos pt

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.

Processes query faster through multiple systems simultaneously, but it could support different data types

T Venkatesh

Deputy Manager at ICICIBANK Ltd

We use the solution for various tasks, including preparing data marts and generating offers. It helps extract data based on rules from the policy team and provides insights to enhance business operations. We also analyze transactions to target customers and improve business performance The…

More IBM Netezza Performance Server pros

Quotes from Members

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

Pros

"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."

"IBM Netezza Performance Server is a cost-effective solution."

"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."

"Parallel data processing is a significant feature for me."

"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 performance is most important to me, and it helps our ability to make business decisions quickly."

"The most valuable features of the IBM Netezza Performance Server are the NPS server because of the reduced maintenance and overall good performance."

"It is quick, secure, and has less hassles because we don't have to involve our networking team, infrastructure, etc. It is very easy to deploy and make market ready."

"Teradata's capabilities enhance data management efficiency, support scalability, and contribute to faster query performance."

"It's a pre-configured appliance that requires very little in terms of setting-up."

"It is a solid database a lot of different tools to move data."

"It's very, very fast"

"It handles large amounts of information with a linear performance increase, in relation to a HW investment."

"IntelliFlex is easy to scale - one of its best features is that you can upscale it to the size you want."

"I found all parts --loading, transformation, processing & querying work in parallel, and end-to-end-- to be valuable."

More Teradata pros

"It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands."

"The most valuable feature of Vertica is the unmatchable database performance."

"Bulk loads, batch loads, and micro-batch loads have made it possible for our organization to process near real-time ingestions and faster analytics."

"The fast columnar store database structure allows our query times to be at least 10x faster than on any other database."

"It maximize cloud economics for mission-critical big data analytical initiatives."

"I have found the solution to be scalable."

"We are able to integrate our Vertica data warehouse with Tableau to create numerous reports quickly and efficiently."

"The Vertica architecture means it can process/ingest data in parallel to reporting and analyzing because of its in-memory Write-Optimized Storage sitting alongside the analytics optimized Read-Optimized Storage."

More Vertica pros

Cons

"Concurrency limit needs to be increased somewhat."

"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."

"IBM Netezza Performance Server could improve its interface, support for big data, and APA-based connectivity should be available."

"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."

"LIke Teradata, we can’t add a node/SPU to the existing appliance."

"Oracle Exadata's security features, like TDE encryption, are missing in IBM Netezza Performance Server."

"The only issue is that it's not expandable."

"The scalability is not as expected. The capacity in the black box is not enough."

More IBM Netezza Performance Server cons

"Teradata should focus on functionality for building predictive models because, in that regard, it can definitely improve."

"The scalability could be better. The on-premises solution is always more complicated to scale."

"It is hard for some of our users to set up rules for cleansing and transforming data, so this is something that could be improved."

"The reporting side wasn't very good in the past, but with the latest versions, it's getting better. Still, the friendliness of the PDC reporting and functionality needs to be improved."

"Teradata's UI could be improved."

"The solution is stable. However, there are times when we are using large amounts of data and we can see some latency issues."

"GUI of administrative tools is really outdated."

"Teradata's UI could be more user-friendly."

More Teradata cons

"Monitoring tools need to be lightweight. They should not take up heavy resources of the main server."

"Support is an area where it could get better."

"It needs integration with multiple clouds."

"In my opinion, Vertica's documentation could be improved. Currently, there is not enough documentation available to gain a comprehensive understanding of the platform."

"Vertica seems to scale well, except for one use case where you are on a multi-node cluster. For example, if you had a nine-node cluster, one node goes down, then the eight nodes don't scale, because the absence of the node is very apparent, which is a problem. If you have nine nodes or multiple nodes, the whole idea is that if one of those nodes goes down, then you should not see an impact on the system if you have enough capacity. Even though we have enough capacity, you can still see the impact of the one node going down."

"I believe the installation process could be streamlined."

"Suboptimal projection design causes queries to not scale linearly."

"Pricing could be more competitive."

More Vertica cons

Pricing and Cost Advice

"The solution has a yearly licensing fee, and users have to pay extra for support."

"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."

"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."

"The price of Teradata is expensive. However, what they deliver they are outstanding. If you're looking for an inexpensive solution to run a database, this isn't your tool. It's the Ferrari of databases for data warehousing."

"It comes at a notably high cost for what it offers."

"Teradata is expensive, so it's typically marketed to big customers. However, there have been some changes, and Teradata is now offering more flexible pricing models and equipment leasing. They've added pay-as-you-go and cloud models, so it's changing, but Teradata is generally known as an expensive high-end product."

"The cost is substantial, totaling around $1.2 million, solely dedicated to upgrading the hardware."

"Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."

"We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise."

"Teradata is currently making improvements in this area."

"Teradata is not cheap, but you get what you pay for."

More Teradata pricing and cost advice

"Vertica has a perpetual license, but they are currently trying to convert all those licenses to subscription-based licenses on a yearly basis."

"Vertica is an expensive tool."

"The price of Vertica is less expensive than some competitors, such as Teradata."

"The pricing for this solution is very reasonable compared to other vendors."

"The price is reasonable. We use a pay per license model. Firstly, you need to buy a license. After that, you mainly pay the annual support fee of around 20% or 25%. I think their prices are quite reasonable."

"From a cost perspective, the software is less than most of its competitors."

"The pricing depends on the license model because there are several. It depends on the client, but it's cheaper than other solutions. I think it's cheap for all the functionality and robustness. It's not very expensive to deploy."

"Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October)."

More Vertica pricing and cost advice

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Comparison Review

it_user232068

Senior Data Architect at a pharma/biotech company with 1,001-5,000 employees

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…

What do you like most about IBM Netezza Performance Server?

Top Industries

By visitors reading reviews

Educational Organization

71%

Financial Services Firm

Computer Software Company

Insurance Company

Financial Services Firm

26%

Computer Software Company

11%

Healthcare Company

Manufacturing Company

Financial Services Firm

19%

Computer Software Company

18%

Manufacturing Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

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?

The cost of the solution is on the more expensive side, which is a concern for me. Additionally, its promotion and in...

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 d...

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 ...

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 ...

What do you like most about Vertica?

Vertica is easy to use and provides really high performance, stability, and scalability.

What is your experience regarding pricing and costs for Vertica?

The solution is relatively cost-effective. Pricing and licensing are reasonable compared to other solutions.

What needs improvement with Vertica?

The product could improve by adding support for a wider variety of data types and enhancing features to better compet...

Oracle Exadata vs IBM Netezza Performance Server

Comparisons

Compared 19% of the time

Snowflake vs IBM Netezza Performance Server

Compared 14% of the time

Oracle Database vs IBM Netezza Performance Server

Compared 10% of the time

Amazon Redshift vs IBM Netezza Performance Server

Compared 7% of the time

More IBM Netezza Performance Server Competitors

Oracle Exadata vs Teradata

Compared 14% of the time

SQL Server vs Teradata

Compared 11% of the time

Snowflake vs Teradata

Compared 7% of the time

MySQL vs Teradata

Compared 7% of the time

SingleStore vs Teradata

Compared 2% of the time

More Teradata Competitors

SQL Server vs Vertica

Compared 14% of the time

Oracle Exadata vs Vertica

Compared 9% of the time

Snowflake vs Vertica

Compared 9% of the time

BigQuery vs Vertica

Compared 8% of the time

Amazon Redshift vs Vertica

Compared 7% of the time

More Vertica Competitors

Product Reports

IBM Netezza Performance Server

Download IBM Netezza Performance Server product report

Download Teradata product report

Vertica

Download Vertica product report

Also Known As

Netezza Performance Server, Netezza

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

Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand

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.

IBM

Teradata is a scalable data analytics platform designed to meet enterprise demands for large-scale data management and processing, focusing on performance, scalability, and security for complex query executions.

As a leading data warehousing solution, Teradata integrates advanced analytics enabling organizations to derive insights from massive datasets. It supports high-volume data workloads with its architecture optimized for analytical queries. Users benefit from its robust scalability, allowing seamless expansion as data grows. Teradata's SQL engine is compatible with a wide range of data types, ensuring flexibility in data analysis. With advanced security measures, it protects sensitive data across various environments, providing peace of mind to users handling critical information.

What are the most important features of Teradata?

Linear Scalability: Easily expands data processing capabilities to handle increasing data loads without performance degradation.
Advanced Analytics: Supports complex analytical operations integrating machine learning and AI for predictive insights.
SQL Compatibility: Offers a comprehensive SQL interface that supports complex queries across diverse data types.
Data Security: Implements rigorous security protocols to protect data integrity and confidentiality.

What benefits and ROI should users look for?

Improved Decision-Making: Derive actionable insights quickly for strategic business decisions.
Cost Efficiency: Optimized resource usage reduces operational costs associated with data processing.
Increased Productivity: Streamlined data operations save time, allowing teams to focus on analysis.
Enhanced Scalability: Seamless growth without significant additional investment as data volumes increase.

Teradata is widely used in industries like finance, telecommunications, and healthcare, where data-driven decisions are critical. Companies leverage its robust analytics capabilities to enhance customer experiences, streamline operations, and ensure compliance with regulatory requirements. In these sectors, quick access to data insights can significantly impact competitive advantage.