Catalogic DPX vs Teradata comparison

Catalogic and Teradata are both solutions in the Backup and Recovery category. Catalogic is ranked #77, while Teradata is ranked #11 with an average rating of 8.3. Catalogic holds a 0.5% mindshare in BRS, compared to Teradata’s 0.8% mindshare. Additionally, 88% of Teradata users are willing to recommend the solution.

Catalogic DPX

Read 2 Catalogic DPX reviews

1,547 Views
1,470 Comparison Views

0% willing to recommend

Teradata

Read 83 Teradata reviews

20,701 Views
2,484 Comparison Views

88% willing to recommend

Catalogic DPX

Teradata

Comparison Buyer's Guide

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Executive SummaryUpdated on Apr 5, 2026

Teradata and Catalogic DPX compete in enterprise data solutions with unique capabilities. Catalogic DPX may take the lead due to its advanced features and security enhancements which justify the higher costs, whereas Teradata offers strong customer support and cost efficiency.

Features: Teradata's strengths lie in its data analytics capabilities, strong scalability, and ability to handle large enterprise needs effectively. Catalogic DPX focuses on data protection, efficient recovery solutions, and comprehensive backup features. Its offering of advanced security and recovery functions distinguishes itself from Teradata’s data analytics orientation.

Ease of Deployment and Customer Service: Teradata streamlines deployment for large-scale data management with a robust customer support approach. Catalogic DPX ensures easy deployment in data protection setups combined with strong customer assistance and a focus on achieving success in protection scenarios.

Pricing and ROI: Teradata provides a budget-friendly pricing model designed for long-term value. Catalogic DPX, with its higher initial cost, justifies investment through superior protection features and potentially favorable ROI over time. Though Catalogic DPX's initial costs are higher, its feature enhancements offer a potentially greater return than Teradata.

To learn more, read our detailed Backup and Recovery Report (Updated: August 2026).

Buyer's Guide

Backup and Recovery

August 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

Catalogic DPX

Ranking in Backup and Recovery

77th

Average Rating

6.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Backup and Recovery

11th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (5th), Data Integration (15th), Relational Databases Tools (7th), Data Warehouse (2nd), BI (Business Intelligence) Tools (8th), Marketing Management (4th), Cloud Data Warehouse (2nd), Database Management Systems (DBMS) (5th)

Mindshare comparison

As of August 2026, in the Backup and Recovery category, the mindshare of Catalogic DPX is 0.5%, 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%
Catalogic DPX	0.5%
Other	98.7%

Backup and Recovery

Featured Reviews

it_user292722

Data Center Global SAP Operations Manager at a wholesaler/distributor with 1,001-5,000 employees

We use it to backup some high output critical physical servers, knowing that in case of disaster we could still recover to our VM environment. The user interface needs improvement.

The user interface needs improvement, the selection boxes to select a backup job are very small not adequate for managing 400+ backup jobs, we only see 8 job names in the small scroll window. The scheduler features are lacking, we must edit backup specs to reach the option to change the schedule. The new reporting feature has greatly improved the product, prior to this it was very difficult to have a full view of our backup schedules when scheduling a new job. Since the move from Syncsort to Catalogic, the quality control of upgrades has diminished and backups that used to work could not be restored without contacting Catalogic for a fix. We still see a lot of value in the product, but hope that the next few updates will not cause more issues... We wanted a mission critical enterprise solution, and sincerely hope that the future upgrades will bring the product back on track.

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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

"By implementing an OVF (docker based) and without any agents on your servers, you’ll get a system which provides you with: Orchestration, Automation DR and Data analytics."

"Catalogic has great features including the ability to P2V from snapvaults, and recently the addition of agent-less backups for Linux."

"Teradata has immensely helped our organization to fetch the data at a faster rate, which has saved us quite a lot of time."

"We are into DWBI (Data Warehousing and Business Intelligence) and Teradata is number one in the market for these solutions."

"It is the core of our fundamental real-time reporting and operational planning and has saved us over eight figures in the operational run costs, improved data quality and consistency as well as reduced our overall infrastructure support requirements."

"I've never had any issues with scalability."

"BTEQ is the best feature of Teradata, as it allows me to execute multiple queries such as select, insert, update, and delete in a single script, handle errors, automate running multiple SQL statements, and schedule ETL jobs, making it lightweight and scriptable, unlike SQL Assistant."

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

"The most valuable features of Teradata are that it is a massively parallel platform and I can receive a lot of data and get the queries out correctly, especially if it's been appropriately designed. The native features make it very suitable for multiple large data tasks in a structured data environment. Additionally, the automation is very good."

"In Data Lab, you can schedule any testing you want to do in production. You can take a small subset of data from production, copy it there, and run all your tests. It reduces your testing costs because it's all in the lab."

More Teradata pros

Cons

"And hearing about all these awesome posibilities, it kind of struck me that this was only possible with NetApp storage."

"Since the move from Syncsort to Catalogic, the quality control of upgrades has diminished and backups that used to work could not be restored without contacting Catalogic for a fix."

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

"The SQL Assistant is very basic. This tool can be improved for usability."

"The capability to implement it with comparable performance across various private cloud environments, ensuring adaptability to different infrastructure setups would be beneficial."

"I'm not sure about the unstructured data management capabilities. It could be improved."

"The price of Teradata is expensive."

"Teradata needs to expand the kind of training that's available to customers. Teradata only offers training directly and doesn't delegate to any third-party companies. As a result, it's harder to find people trained on Teradata in our market relative to Oracle."

"The setup is not straightforward."

"The user interface needs to be improved."

More Teradata cons

Pricing and Cost Advice

Information not available

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

"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."

"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."

"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."

"The price of Teradata could be less expensive."

"Teradata is currently making improvements in this area."

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

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

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

Construction Company

20%

Financial Services Firm

12%

Comms Service Provider

11%

Computer Software Company

11%

Financial Services Firm

18%

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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Microsoft DPM vs Catalogic DPX

Compared 8% of the time

Mimecast Insider Risk Management and Data Protection vs Catalogic DPX

Compared 8% of the time

Infrascale Backup & Disaster Recovery vs Catalogic DPX

Compared 6% of the time

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Snowflake vs Teradata

Compared 4% of the time

Oracle Database vs Teradata

Compared 3% of the time

SQL Server vs Teradata

Compared 3% of the time

Databricks vs Teradata

Compared 3% of the time

MySQL vs Teradata

Compared 2% of the time

More Teradata Competitors

Product Reports

Buyer's Guide

Backup and Recovery

August 2026

Download Catalogic DPX product report

Buyer's Guide

Teradata

July 2026

Download Teradata product report

Also Known As

BEX

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

Overview

Catalogic DPX offers a robust data protection solution aimed at optimizing backup and recovery processes with efficiency and reliability. Designed to cater to complex IT environments, it ensures seamless data management and protection capabilities.

Intended for enterprises seeking comprehensive data protection, Catalogic DPX delivers advanced features for backup, recovery, and management of data across multiple platforms. The capacity to integrate seamlessly with current systems enhances its functionality, providing users with flexible, scalable solutions that accommodate dynamic business needs. This adaptability is critical in maintaining data integrity and agility in complex IT frameworks.

What are the most important features of Catalogic DPX?

Backup and Restore: Provides fast, reliable backup and restoration options.
Snapshot Management: Integrates with storage arrays for instant access to snapshots.
Replication: Ensures data availability through efficient data replication technologies.
Deduplication: Reduces storage requirements through advanced deduplication techniques.
Ransomware Protection: Offers robust security measures against ransomware threats.

What benefits should users look for in reviews?

Improved Efficiency: Streamlines backup processes, reducing time and labor.
Cost Savings: Minimizes expenses related to storage and recovery operations.
Scalability: Adapts to growing IT demands without compromising performance.
Data Security: Ensures high standards of data protection across environments.

Businesses in industries such as finance, healthcare, and manufacturing implement Catalogic DPX to manage vast amounts of critical data with ease. Its deployment supports compliance with industry-specific regulations, ensuring secure and efficient data handling tailored to unique business requirements.

Catalogic

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

Hendrick Medical, CommonFund, Red-8, Fairfax County Schools, Tectrade, Storage Assessments

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