Quantum DXi Series vs Teradata comparison

Read 76 Teradata reviews

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99 Comparison Views

87% willing to recommend

Quantum DXi Series

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Executive SummaryUpdated on Apr 20, 2025

Teradata and Quantum DXi Series are competing in data management and backup solutions. Though Teradata is strong in data analysis, Quantum DXi Series is favored for data security and storage efficiency.

Features: Teradata offers powerful analytics, scalability, and comprehensive data integration. Quantum DXi Series provides advanced data deduplication, efficient storage utilization, and rapid recovery capabilities. The main distinction is Teradata's focus on large-scale data analysis, while Quantum DXi Series prioritizes backup and storage efficiency.

Ease of Deployment and Customer Service: Teradata requires detailed analytics configuration and offers extensive customer support. Quantum DXi Series features streamlined deployment processes to minimize setup time, with responsive customer service for quick issue resolution. Quantum DXi Series easily integrates into existing systems while Teradata needs more specialized implementation.

Pricing and ROI: Teradata has a higher initial setup cost but provides significant ROI with enhanced data processing and long-term analytics benefits. Quantum DXi Series offers competitive pricing and efficient storage solutions, delivering ROI through quick recovery and data protection. The difference lies in Teradata's long-term data value versus Quantum DXi Series's cost-effective security and backup efficiency.

To learn more, read our detailed Quantum DXi Series vs. Teradata Report (Updated: April 2025).

Quantum DXi Series vs. Teradata

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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:

Categories and Ranking

Quantum DXi Series

Ranking in Backup and Recovery

32nd

Average Rating

9.6

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

Deduplication Software (9th)

Teradata

Ranking in Backup and Recovery

20th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Data Integration (17th), Relational Databases Tools (7th), Data Warehouse (3rd), BI (Business Intelligence) Tools (10th), Marketing Management (6th), Cloud Data Warehouse (6th)

Mindshare comparison

As of May 2025, in the Backup and Recovery category, the mindshare of Quantum DXi Series is 0.2%, up from 0.2% compared to the previous year. The mindshare of Teradata is 0.1%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Backup and Recovery

Featured Reviews

PascalSebat

Business Unit Manager Data Protection at Cncr Group

A scalable solution with Veeam and Vertias alliance

I am impressed with the tool's technical alliance with Veeam and Veritas. The product needs to improve performance while scaling out. It also needs to improve stability. I have been using the product since seven years. I would rate the product's stability a nine out of ten. I would rate the…

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SurjitChoudhury

Data engineer at Cocos pt

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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Quotes from Members

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

Pros

"While the challenges posed by the difficulties were significant, they prompted the replacement of problematic components, resulting in the resolution of issues. Importantly, there were no substantial ongoing concerns. Regarding the overall performance, it has been consistently excellent."

"I am impressed with the tool's technical alliance with Veeam and Veritas."

"It has reduced a lot of reworking on maintaining indexes, partitions, etc."

"The solution's banking model, called FSLDM (Financial Services Logical Data Model), is sophisticated and good."

"Teradata solutions help organizations reduce IT, operations, and maintenance costs; enhance on-time delivery of products and services."

"The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems."

"Teradata can be easily used in ETL mode transformations, so there is no need for expensive and inconvenient ETL tools"

"It is a stable program."

"Teradata features high productivity and reliability because it has several redundancy options, so the system is always up and running."

"Things have started moving faster in my company, such as data retrieval happens more quickly."

More Teradata pros

Cons

"The product needs to improve performance while scaling out. It also needs to improve stability."

"Perhaps the most notable area for enhancement lies in the web interface for management. The current limitations in LDAP editing capabilities are not addressed in the UI, and I haven't observed any recent updates. It's possible that the new version of the DXI service incorporates improvements in the GUI, but I cannot confirm. While there is room for improvement in the current GUI, it remains a relatively minor issue. Overall, the system is comprehensive, covering aspects such as reports on latency and networking, leaving little room for additional enhancements in those areas."

"GUI of administrative tools is really outdated."

"Teradata is a bit late for the cloud."

"I think the UI is not there yet. It could be improved by being more user-friendly."

"Teradata's UI could be improved."

"The tool's flexibility and capacity for expansion are areas of concern where improvements are required."

"Teradata could improve by being less complicated. There are some aspects that are not available on the Unix server and a Unix system is required to access some data, such as in case of an emergency."

"Data ingestion is done via external utilities and not by the query language itself. It would be more convenient to have that functionality within its SQL dialect."

"It could be a bit more user-friendly."

More Teradata cons

Pricing and Cost Advice

"I do not oversee this aspect, as pricing is contingent on factors such as volume, technical specifications, and the desired features. Consequently, I lack information on the pricing details and structure."

"Teradata is currently making improvements in this area."

"Teradata's licensing is on the expensive side."

"Users have to pay a yearly licensing fee for Teradata IntelliFlex, which is very expensive."

"Price is quite high, so if it is really possible to use other solutions (e.g. you do not have strict requirements for performance and huge data volumes), it might be better to look at alternatives from the RDBMS world."

"In this day and age, we want to get things done quickly. So, we go to the AWS Marketplace."

"It is still a very expensive solution. While I very much like the pure technological supremacy of the software itself, I believe Teradata as a company needs to become more affordable. They are already losing the market to more flexible or cheaper competitors."

"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."

"The price of Teradata is on the higher side, and I think that it where they lose out on some of their business."

More Teradata 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…

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Top Industries

By visitors reading reviews

Financial Services Firm

33%

Computer Software Company

13%

Manufacturing Company

Energy/Utilities Company

Financial Services Firm

26%

Computer Software Company

11%

Healthcare Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Quantum DXi Series?

While the challenges posed by the difficulties were significant, they prompted the replacement of problematic components, resulting in the resolution of issues. Importantly, there were no substanti...

What needs improvement with Quantum DXi Series?

Perhaps the most notable area for enhancement lies in the web interface for management. The current limitations in LDAP editing capabilities are not addressed in the UI, and I haven't observed any ...

What is your experience regarding pricing and costs for Quantum DXi Series?

I do not oversee this aspect, as pricing is contingent on factors such as volume, technical specifications, and the desired features. Consequently, I lack information on the pricing details and str...

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,...

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Product Reports

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Also Known As

DXi Series, Quantum DX

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

Overview

Quantum's DXi series deduplication solutions provides patented variable-length deduplication that not only reduces disk usage and capital expenditures, but also enables efficient data movement across the WAN to other sites and to the cloud.

Quantum

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.

Sample Customers

Nihon Unisys, Nikoyo China

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Quantum DXi Series vs. Teradata