Quantum DXi Series vs Teradata comparison

Quantum and Teradata are both solutions in the Backup and Recovery category. Quantum is ranked #61, while Teradata is ranked #15 with an average rating of 8.2. Quantum holds a 0.8% mindshare in BRS, compared to Teradata’s 0.8% mindshare. Additionally, 66% of Quantum users are willing to recommend the solution, compared to 88% of Teradata users who would recommend it.

Quantum DXi Series

Read 2 Quantum DXi Series reviews

2,774 Views
1,831 Comparison Views

66% willing to recommend

Teradata

Read 83 Teradata reviews

17,947 Views
2,154 Comparison Views

88% willing to recommend

Quantum DXi Series

Teradata

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Executive SummaryUpdated on Apr 5, 2026

Teradata and Quantum DXi Series compete in data management. Teradata leads in data analysis, while Quantum DXi Series excels in storage efficiency.

Features: Teradata offers sophisticated data analytics, high performance for large-scale processing, and seamless integration with business intelligence tools. Quantum DXi Series provides advanced deduplication, effective data backup, and recovery functions.

Ease of Deployment and Customer Service: Teradata provides comprehensive deployment options and responsive customer support, suitable for large enterprises. Quantum DXi Series offers straightforward deployment with simplified configurations but requires more specialized knowledge for full utilization. Quantum DXi provides reliable support with a focus on storage solutions.

Pricing and ROI: Teradata involves higher setup costs with promising long-term ROI due to its analytical capabilities. Quantum DXi Series offers competitive pricing with significant ROI from efficient data storage solutions and reduced total cost of ownership.

To learn more, read our detailed Quantum DXi Series vs. Teradata Report (Updated: June 2026).

Buyer's Guide

Quantum DXi Series vs. Teradata

June 2026

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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

61st

Average Rating

9.6

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

Deduplication Software (12th)

Teradata

Ranking in Backup and Recovery

15th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (5th), Data Integration (14th), Relational Databases Tools (5th), Data Warehouse (3rd), BI (Business Intelligence) Tools (7th), Marketing Management (4th), Cloud Data Warehouse (2nd), Database Management Systems (DBMS) (4th)

Mindshare comparison

As of June 2026, in the Backup and Recovery category, the mindshare of Quantum DXi Series is 0.8%, up from 0.2% compared to the previous year. The mindshare of Teradata is 0.8%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Backup and Recovery Mindshare Distribution
Product	Mindshare (%)
Teradata	0.8%
Quantum DXi Series	0.8%
Other	98.4%

Backup and Recovery

Featured Reviews

reviewer2301564

Expert Backup at a tech services company with 201-500 employees

A virtual deduplication backup appliance that protects physical and virtual data across remote sites, the datacenter and cloud deployments

Given its ease of use and management, I believe there are no specific caveats that users need to be aware of during the setup of DXRIS for backups. The process was straightforward, and I did not encounter any challenges or issues. As for a rating on a scale of one to ten, with one being the worst and ten being the best, I would rate the Quantum DXI Series a nine. My deduction is primarily influenced by personal preferences, particularly regarding the user interface and it is a highly commendable system, I would rate it a solid nine out of ten.

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David Durand Velásquez

Engineers at a consultancy with 11-50 employees

Delivers consistent performance and enables advanced analytics across complex data environments

Teradata stands out as a solid platform for managing and analyzing large volumes of data. Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments. One of its most notable strengths is the ability to run complex queries at high speed, which is essential for organizations that require timely and reliable analytics. Teradata offers a well-integrated ecosystem that supports working with different types of data and enables scalability as organizational needs grow. Its focus on advanced analytics, integration with modern business intelligence tools, and the ability to operate both on-premise and in the cloud make it a versatile solution for data warehousing and large-scale processing. Teradata's stability, technological maturity, and the availability of strong documentation and best practices are noteworthy. I consider Teradata to be a tool with great potential for any organization looking to enhance its analytical capabilities, optimize data processing, and move toward more data-driven decision-making. Teradata stands out as a solid platform for managing a large volume of data in different projects. Its architecture allows information to be processed efficiently while maintaining stable performance, even in high-demanding environments. A well-integrated AI ecosystem that supports working with different types of data and enables scalability as organizational needs grow across different kinds of enterprises or organizations. The focus on advanced analytics integration with modern business intelligence tools is particularly valuable. Teradata combines a powerful parallel process and optimizing SQL engine with a highly scalable architecture allowing businesses to execute complex queries and analytics in real-time. It supports multi-cloud, hybrid, and on-premise environments, giving organizations flexibility to choose the setup that best aligns with their strategy. One of the biggest strengths is the ability to unify disparate data sources and support high concurrency, enabling different teams, such as analytics, operations, BI, and data science, to access consistent, trusted data across the enterprise.

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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

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

"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."

"The feature that we find most valuable is its ability to perform Massive Parallel Processing."

"Teradata's scalability is one of its best features."

"It's stable and reliable."

"Our customers are very impressed by Teradata's speed, because it's massively parallel processed."

"It has increased the speed of reporting."

"The flexibility in design is very good."

"The most valuable features are the large volume of data and the structuring of the data to optimize it and get very optimal data warehouse solutions for customers."

"There are two very useful features: one is the fast data input for more or less any online data, and two, it also has a lot of tools for data engineering or data manipulation that are compatible."

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."

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

"I choose 8 out of 10 for Teradata because there is always the scope for improvement."

"Since I was working on the very basic, legacy systems, the memory thing was always a challenge. If Teradata is moving to the cloud, the space constraint or the memory issue that my company generally faces will eventually resolve, in time. What I'd like to see in the next release of Teradata is that it becomes full-fledged on the cloud, apart from better connectivity to various systems. For example, if I have to read or include a Python script, if I write some basic codes, I should be able to read even unstructured data. I know that it's not supported even in Snowflake, but at least semi-structured data support, if that can be a little more enhanced, that would be good."

"The only issue our company has with Teradata IntelliFlex is that it is not cost-effective because of the way the product has been designed."

"Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly."

"It needs a teaching web site with more training on third-party tools used for BI."

"I've been using the same UI for 20 years in Teradata. It could use some updating. Adding more stability around Teradata Studio would be outstanding. Teradata Studio is a Java-based version of their tool. It's much better now, but it still has some room for improvement."

"It could use some more advanced analytics relating to structured and semi-structured data."

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."

"The initial cost may seem high, but the TCO is low."

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

"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."

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

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

"In the past, it turned out that other solutions, in order to provide the full range of abilities that the Teradata platform provides plus the migration costs, would end up costing more than Teradata does."

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

"I would advise others to look into migration and setup as a fixed price and incorporate a SaaS option for other Teradata services."

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

15%

Manufacturing Company

Computer Software Company

Retailer

Financial Services Firm

20%

Manufacturing Company

Construction Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	28
Midsize Enterprise	13
Large Enterprise	53

Questions from the Community

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Earn 20 points

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...

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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...

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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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Comparisons

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Compared 10% of the time

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Compared 7% of the time

Veritas NetBackup Appliance vs Quantum DXi Series

Compared 6% of the time

ExaGrid EX Series vs Quantum DXi Series

Compared 6% of the time

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Snowflake vs Teradata

Compared 4% of the time

Oracle Database vs Teradata

Compared 4% of the time

SQL Server vs Teradata

Compared 3% of the time

MySQL vs Teradata

Compared 3% of the time

Oracle Exadata vs Teradata

Compared 2% of the time

More Teradata Competitors

Product Reports

Buyer's Guide

Backup and Recovery

June 2026

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Buyer's Guide

Teradata

May 2026

Download Teradata product report

Also Known As

DXi Series, Quantum DX

IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture, Teradata Vantage Enterprise (DIY)

Overview

Quantum DXi Series offers advanced data protection and storage solutions tailored for enterprise environments, ensuring efficient data management and backup processes.

Designed for demanding data environments, Quantum DXi Series delivers reliable performance in data deduplication, replication, and archiving. It addresses the needs of modern enterprises by offering scalable and secure solutions. With its intuitive interface and seamless integration capabilities, it helps enterprises enhance their data management strategies while optimizing resources and reducing costs. Engineered for flexibility, it supports a wide range of data-intensive tasks, making it suitable for diverse organizational requirements.

What key features does Quantum DXi Series provide?

Data Deduplication: Reduces storage footprint, enhancing efficiency.
Replication Technology: Ensures data integrity across locations.
Cloud Integration: Facilitates scalable cloud storage.
Intuitive Management: Simplifies administrative tasks.
Advanced Security: Protects data with robust encryption.

What benefits should users look for in reviews?

Cost Efficiency: Reduces storage expenses significantly.
Scalability: Grows with business data demands.
Reliability: Offers stable backup and recovery processes.
Operational Flexibility: Adapts to varied IT environments.

Quantum DXi Series implementation is versatile across industries like finance, healthcare, and education, where data security and efficient management are critical. In finance, it supports compliance and secure transactions. In healthcare, it manages vast patient data reliably. In education, it provides seamless data backup and recovery solutions, addressing institutions' unique needs.

Quantum

Teradata is a powerful tool for handling substantial data volumes with its parallel processing architecture, supporting both cloud and on-premise environments efficiently. It offers impressive capabilities for fast query processing, data integration, and real-time reporting, making it suitable for diverse industrial applications.

Known for its robust parallel processing capabilities, Teradata effectively manages large datasets and provides adaptable deployment across cloud and on-premise setups. It enhances performance and scalability with features like advanced query tuning, workload management, and strong security. Users appreciate its ease of use and automation features which support real-time data reporting. The optimizer and intelligent partitioning help improve query speed and efficiency, while multi-temperature data management optimizes data handling.

What are the key features of Teradata?

Parallel Processing Architecture: Enables efficient handling of substantial data volumes.
Cloud and On-Premise Deployment: Offers seamless adaptability across environments.
Query Tuning: Improves speed and performance of data retrieval processes.
Workload Management: Ensures optimal resource allocation for enhanced performance.
Robust Security: Provides high levels of data protection and system integrity.
Data Integration: Facilitates cohesive data management from multiple sources.
Automation for Real-time Reporting: Enhances timely data insights and decision-making.
Optimizer and Intelligent Partitioning: Further increase query speed and system efficiency.
Multi-Temperature Data Management: Optimizes the handling and retrieval of data.

What benefits and ROI do users look for?

Efficient Data Management: Facilitates smooth integration and processing of diverse data sets.
Scalability: Easy adjustment to increasing or decreasing data requirements.
Improved Performance: Fast query speeds and optimized resource use.
Comprehensive Security: Safeguards data integrity and accessibility.
Ease of Use: Simplifies data handling and operational processes.

In the finance, retail, and government sectors, Teradata is employed for data warehousing, business intelligence, and analytical processing. It handles vast datasets for activities like customer behavior modeling and enterprise data integration. Supporting efficient reporting and analytics, Teradata enhances data storage and processing, whether deployed on-premise or on cloud platforms.

Teradata

Sample Customers

Nihon Unisys, Nikoyo China

Netflix

Buyer's Guide

Quantum DXi Series vs. Teradata

June 2026

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