HYCU R-Cloud vs Teradata comparison

HYCU, Inc. and Teradata are both solutions in the Backup and Recovery category. HYCU, Inc. is ranked #53 with an average rating of 8.0, while Teradata is ranked #20 with an average rating of 7.5. HYCU, Inc. holds a 0.1% mindshare in BRS, compared to Teradata’s 0.1% mindshare. Additionally, 100% of HYCU, Inc. users are willing to recommend the solution, compared to 87% of Teradata users who would recommend it.

HYCU R-Cloud

Read 1 HYCU R-Cloud review

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68 Comparison Views

100% willing to recommend

Teradata

Read 76 Teradata reviews

124 Views
105 Comparison Views

87% willing to recommend

HYCU R-Cloud

Teradata

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Executive SummaryUpdated on Mar 9, 2025

Teradata and HYCU R-Cloud are two competing products in the data management and protection domains. HYCU R-Cloud appears to have the upper hand with advanced features and superior customer satisfaction regarding value for money. Teradata presents strong pricing and support advantages.

Features: Teradata is known for high-performance data warehousing capabilities, real-time analytics, and scalability important for large enterprises handling extensive datasets. HYCU R-Cloud offers innovative backup and recovery solutions optimized for multi-cloud and hybrid cloud environments. It provides seamless integration and automated backup management, favored by customers. Teradata has strength in analytics power, while HYCU R-Cloud stands out in data protection and ease of management.

Ease of Deployment and Customer Service: HYCU R-Cloud impresses with quick, straightforward deployment minimizing downtime and operational disruptions, alongside robust customer service for smooth transitions and efficient problem resolution. Teradata may require more extensive setup time due to its comprehensive architecture but provides reliable support for troubleshooting. HYCU R-Cloud's simplified deployment is a clear strength compared to Teradata's more intricate process.

Pricing and ROI: Teradata offers competitive pricing options attractive for large-scale implementations, delivering excellent ROI through robust data analytics capabilities, though this sometimes involves higher initial setup costs due to complex requirements. HYCU R-Cloud offers a more economical initial setup with faster return, particularly attractive for organizations prioritizing cloud-based solutions. Despite Teradata's favorable pricing strategy, HYCU R-Cloud's cost-effectiveness and high ROI in cloud environments make it a preferred choice for cost-conscious businesses.

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April 2025

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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

HYCU R-Cloud

Ranking in Backup and Recovery

53rd

Average Rating

8.0

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Cloud Backup (41st)

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 (8th), 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 HYCU R-Cloud is 0.1%, up from 0.0% 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

Iwegbue Godspower Isioma

Cyber Security Analyst at Platview Technologies

Easy to setup, good support and stable product

When we started, we used Acronis for both cloud and on-premises backups. Protege was a reliable solution, and the cloud-focused approach is well-suited for our current needs. If you require both cloud and on-premises backup capabilities, Acronis is a more comprehensive solution. For solely cloud-based backups, Protege is a solid option.

Read full review

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.

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

"Since it is on the cloud, it is a very stable solution."

"It is a stable program."

"It is quick, secure, and has less hassles because we don't have to involve our networking team, infrastructure, etc. It is very easy to deploy and make market ready."

"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."

"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."

"Their extensive experience in data warehousing, the platform's performance, and their strong reputation in the market are the most valuable."

"Teradata's best feature is its speed with historical data."

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

"The solution scales well on the cloud."

More Teradata pros

Cons

"One area for improvement would be expanding its capabilities beyond Azure-specific backups."

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

"Needs compatibility with more Big Data platforms."

"There is a need to improve performance in high transaction processes, as well as the reporting system."

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

"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."

"Teradata is a bit late for the cloud."

"The user interface needs to be improved."

More Teradata cons

Pricing and Cost Advice

Information not available

"When looking into implementing this product, pricing is the main issue followed by technical expertise."

"The cost is significantly high."

"The price of the solution could be reduced, it is expensive."

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

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

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

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

"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."

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

No data available

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 Protege?

Since it is on the cloud, it is a very stable solution.

See all answers

What needs improvement with Protege?

One area for improvement would be expanding its capabilities beyond Azure-specific backups. It should also support on-premises servers and physical VMs in addition to cloud VMs. This would make Pro...

See all answers

What is your primary use case for Protege?

Protege is primarily used for backing up and restoring Azure technologies, including cloud-based services like AWS, Google Cloud, and Azure, as well as on-premises virtual machines. This ensures th...

See all answers

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

No data available

Oracle Exadata vs Teradata

Compared 14% of the time

SQL Server vs Teradata

Compared 11% of the time

Snowflake vs Teradata

Compared 7% of the time

MySQL vs Teradata

Compared 6% of the time

IBM Db2 Database vs Teradata

Compared 6% of the time

More Teradata Competitors

Product Reports

Buyer's Guide

Backup and Recovery

April 2025

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Buyer's Guide

Teradata

April 2025

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Also Known As

Protege

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

Interactive Demo

HYCU, Inc.

Demo not available

Teradata

Overview

HYCU R-Cloud offers a robust, scalable data protection platform designed for cloud environments, providing comprehensive management capabilities to secure sensitive information efficiently.

HYCU R-Cloud is targeted at businesses needing reliable data protection in cloud settings. Its features focus on enhancing data safety, integrating smoothly with existing infrastructures. Users benefit from HYCU R-Cloud's adaptability in dynamic business environments where secure data backup and fast recovery are essential. As cloud data management becomes increasingly critical, HYCU R-Cloud aims to address these needs with advanced protection mechanisms. By prioritizing ease of integration and use alongside innovative technology, it supports organizations in maintaining seamless operations.

What are the key features of HYCU R-Cloud?

Scalability: Adapts to growing data needs efficiently.
Data Recovery: Provides swift data restore capabilities.
Integration: Seamlessly fits into existing IT architectures.
Security: Protects sensitive data with robust encryption.

What benefits should users look for?

Cost Efficiency: Reduces expenses associated with data loss.
Operational Continuity: Ensures minimal disruption during data recovery.
Enhanced Security: Offers peace of mind with strong data protection measures.

HYCU R-Cloud is implemented across industries like healthcare and finance, where data security is paramount. Its adaptability allows it to meet specific industry requirements effectively, maintaining data integrity and compliance.

HYCU, Inc.

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.

Teradata

Sample Customers

Information Not Available

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