Quantum DXi Series vs Teradata comparison

Why PeerSpot?

Quantum and Teradata are both solutions in the Backup and Recovery category. Quantum is ranked #60, while Teradata is ranked #10 with an average rating of 8.3. 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

3,349 Views
2,277 Comparison Views

66% willing to recommend

Teradata

Read 83 Teradata reviews

22,341 Views
2,904 Comparison Views

88% willing to recommend

Quantum DXi Series

Teradata

Comparison Buyer's Guide

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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: September 2026).

Buyer's Guide

Quantum DXi Series vs. Teradata

September 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

60th

Average Rating

9.6

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

Deduplication Software (11th)

Teradata

Ranking in Backup and Recovery

10th

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 (2nd), BI (Business Intelligence) Tools (9th), Marketing Management (4th), Cloud Data Warehouse (2nd), Database Management Systems (DBMS) (5th)

Mindshare comparison

As of September 2026, in the Backup and Recovery category, the mindshare of Quantum DXi Series is 0.8%, up from 0.4% compared to the previous year. The mindshare of Teradata is 0.8%, up from 0.3% 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.

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."

"The key advantages are Performance when processing Terabytes of data and scalability."

"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."

"The most important thing we get out of the product is the intelligence that we derive."

"It's stable and reliable."

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

"Designing the database is easy."

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

"A conventional and easily defined way to build a data warehouse or a layer of data marts."

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."

"Limited interest and success in some areas make us hesitate about upgrading."

"An additional feature I would you like to see included in the next release, is that it needs to be more cloud-friendly."

"The cost of Teradata Cloud Data Warehouse has room for improvement."

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

"The solution’s pricing, scalability, and technical support response time could be improved."

"It should be compatible and free on CLOUD/ AWS. Currently many DB's on AWS are free, Teradata is also on Amazon Web Services, but its charged and no documentation available to practice those LABS."

"One challenge I have faced regarding the main use case is the integration with AI, as Teradata does not have the AI models that other OLAP systems such as BigQuery provide, making it difficult for us to give proper recommendations without using different tools for AI integration."

"There are some ways that the handling of unstructured data could be improved."

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."

"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."

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

"The solution requires a license."

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

"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."

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

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

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

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…

Read full review

Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

Manufacturing Company

Comms Service Provider

Financial Services Firm

17%

Outsourcing Company

10%

Manufacturing Company

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	53

Questions from the Community

Ask a question

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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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HPE StoreOnce vs Quantum DXi Series

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Barracuda Backup vs Quantum DXi Series

Compared 2% of the time

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Oracle Database vs Teradata

Compared 3% of the time

Snowflake vs Teradata

Compared 3% of the time

SQL Server vs Teradata

Compared 3% of the time

Databricks vs Teradata

Compared 2% of the time

MySQL vs Teradata

Compared 2% of the time

More Teradata Competitors

Product Reports

Buyer's Guide

Backup and Recovery

September 2026

Download Quantum DXi Series product report

Buyer's Guide

Teradata

August 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

September 2026

Free Report: Quantum DXi Series vs. Teradata

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