Quantum DXi Series vs Teradata comparison

Quantum and Teradata are both solutions in the Backup and Recovery category. Quantum is ranked #60, while Teradata is ranked #14 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

2,508 Views
1,630 Comparison Views

66% willing to recommend

Teradata

Read 83 Teradata reviews

15,963 Views
1,756 Comparison Views

88% willing to recommend

Quantum DXi Series

Teradata

Comparison Buyer's Guide

Download the report

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: April 2026).

Buyer's Guide

Quantum DXi Series vs. Teradata

April 2026

Download the complete report

Helped 893,244 peers since 2012

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

60th

Average Rating

9.6

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

Deduplication Software (12th)

Teradata

Ranking in Backup and Recovery

14th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Data Integration (12th), Relational Databases Tools (5th), Data Warehouse (3rd), BI (Business Intelligence) Tools (7th), Marketing Management (6th), Cloud Data Warehouse (2nd), Database Management Systems (DBMS) (4th)

Mindshare comparison

As of May 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.

Read full review

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.

Read full review

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's very, very fast"

"We were able to migrate the code from SAS analytical platforms to pure Teradata and got an order of magnitude of performance growth (taking into account that the hardware was similar)."

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

"The solution scales well on the cloud."

"Teradata can be deployed on-premise, on the cloud, or in a virtual machine, which means customers can move without having to create their architecture all over again."

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

"The ability to handle machine data parallel processing is the most valuable feature of Teradata."

"Our enterprise data warehouse (EDW) runs on Teradata and it is the single version of truth for management decision-making and reporting."

More Teradata pros

Cons

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

"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."

"Apart from Control-M, it would be nice if it could integrate with other tools."

"Query language and its functionality are rather limited, compared to Oracle or even SQL Server. However, it is possible to perform any kind of logic in it (though some workarounds may be required)."

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

"If I want to implement an upgrade, I'd like to see how it will be different."

"Teradata has a few AI models, but in data science, we need more flexibility."

"It's simple but costly."

"Data synchronization to the DR site."

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 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."

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

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

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

"Teradata is a very expensive solution."

"We had a lot of parties involved when purchasing from the AWS Marketplace. They are very flexible and aggressive in trying to close the deal. They are good at what they have to offer and listening to the customer. It's a two-way street."

"Make sure you have the in-house skills to design and support the solution, as relying on external sources is extremely costly and tends to lock you into specific platforms, tools, and paradigms."

"The cost is significantly high."

More Teradata pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Backup and Recovery solutions are best for your needs.

See recommendations

893,244 professionals have used our research since 2012.

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…

Read full review

Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

10%

Manufacturing Company

Comms Service Provider

Financial Services Firm

20%

Manufacturing Company

Comms Service Provider

Construction Company

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	52

Questions from the Community

Ask a question

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...

See all answers

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...

See all answers

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,...

See all answers

Comparisons

Dell PowerProtect Data Domain vs Quantum DXi Series

Compared 11% of the time

HPE StoreOnce vs Quantum DXi Series

Compared 7% of the time

ExaGrid EX Series vs Quantum DXi Series

Compared 6% of the time

Veritas NetBackup Appliance vs Quantum DXi Series

Compared 5% of the time

NAKIVO Backup & Replication vs Quantum DXi Series

Compared 2% of the time

More Quantum DXi Series Competitors

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

Oracle Exadata vs Teradata

Compared 3% of the time

MySQL vs Teradata

Compared 3% of the time

More Teradata Competitors

Product Reports

Buyer's Guide

Backup and Recovery

May 2026

Download Quantum DXi Series product report

Buyer's Guide

Teradata

April 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

April 2026

Free Report: Quantum DXi Series vs. Teradata

Find out what your peers are saying about Quantum DXi Series vs. Teradata and other solutions. Updated: April 2026.

DOWNLOAD NOW

893,244 professionals have used our research since 2012.

See our Quantum DXi Series vs. Teradata report.

See our list of best Backup and Recovery vendors.

We monitor all Backup and Recovery 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.