Carbonite Server vs Teradata comparison

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Carbonite Server

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Executive SummaryUpdated on Apr 20, 2025

Teradata and Carbonite Server are both major competitors in the data management and backup solutions market. Teradata takes the lead in performance analytics and data integration capabilities, whereas Carbonite Server is favored for its exemplary backup features and reliability.

Features: Teradata provides robust data warehousing, advanced analytics, and excellent scalability, making it ideal for organizations with complex performance needs. Carbonite Server is recognized for comprehensive backup and recovery features, ensuring data security and minimal downtime.

Room for Improvement: Teradata can work on simplifying its deployment process and reducing the need for specialized expertise. Additionally, improving customer support and integration options could enhance usability. Carbonite Server could improve by expanding its analytics capabilities, enhancing data integration, and offering more customization for large enterprises.

Ease of Deployment and Customer Service: Teradata involves a complex deployment process requiring expertise, whereas Carbonite Server offers a straightforward, user-friendly approach with strong customer support, appealing to businesses with fewer IT resources.

Pricing and ROI: Teradata requires a higher initial setup cost due to its extensive enterprise-focused capabilities, promising substantial ROI for large-scale deployments. Carbonite Server's competitive pricing and lower initial costs provide solid ROI through business continuity and data protection.

To learn more, read our detailed Carbonite Server vs. Teradata Report (Updated: April 2025).

Carbonite Server vs. Teradata

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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

Carbonite Server

Ranking in Backup and Recovery

31st

Average Rating

8.2

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

Cloud Backup (21st)

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 (7th), 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 Carbonite Server is 0.6%, up from 0.6% 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

Dale Dirkes

President at DIAD Consulting, Inc.

A simple, efficient, reliable product

The efficiency and convenience are excellent. The pricing is very good. It shows you what has been updated via little green dots. The solution is very automatic. I don't have to worry about it. It was easy to set up. Technical support has been helpful in the past. The solution has been problem-free.

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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.

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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

"Easy verification of things is the most valuable feature."

"The Granular Restore of SQL feature has been a lifesaver more times than I can count. One of the main reasons for looking at Carbonite was their support for platforms like AIX and AS/400 Series."

"I find the BMR/image and the recovery pieces are valuable."

"It does not slow down your computer or use a lot of resources as it works."

"It seems reliable and easy to use."

"The solution is very stable."

"The efficiency and convenience are excellent."

"Technical support handled all our issues quickly and effectively."

More Carbonite Server pros

"The data processing, clustering, and distributed computing are impressive."

"Teradata can be easily used in ETL mode transformations, so there is no need for expensive and inconvenient ETL tools"

"The product's scalability is great. Scalability-wise, I rate the solution a ten out of ten."

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

"It is a stable program."

"The solution scales well on the cloud."

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

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

More Teradata pros

Cons

"In the next release I would like to see an improvement in the auto failover option."

"The Hyper-V backup has room for improvement."

"They do not yet have USB recovery but they are adding it in coming releases."

"The support for object storage isn't quite there yet. Its public cloud support can be improved. I would love to see the public cloud support for object storage, and it would be great, but what I always hear from the folks at Carbonite is that in a lot of cases, it directly competes with their cloud offering. So, I don't know when or where that will go or if that will go anywhere, but we are hopeful to see something. The dashboard is a little outdated. If they gave it a facelift and put some better design around their dashboard, that would be tremendous. I generally care less about the visual aesthetics of an application as long as it does what it needed to do, which is true in the case of this solution. We also have the Microsoft 365 platform. Because they're two separate platforms, I have to log in to my Microsoft platform to manage it, and I have to log into my Carbonite server backup platform to manage it. Having these two coexist together in one management console is really what we're looking for, but we went for it knowing this. We also knew that there would be some integration coming down the road. So, we're again hoping to see some of that coming in 2021."

"The only thing that I would like to see improved is related to marketing. Currently, it is very difficult to find the right paper and stuff for me. Their marketing department should provide better information because currently, it is very difficult to find information on the internet. It was bought over by OpenText, and you won't be able to find a lot of information about this solution on their site. They should also provide training facilities for commercial purposes. Some of my colleagues recently went for pilot training, and they were technical. If I want to get trained, the training has to be more commercial. Currently, there is no such training for users like me."

"The stability has room for improvement."

"It could be a little bit easier or faster to be able to access data files without having to download anything."

"It's primarily designed for big projects and therefore, the pricing is pretty high. It's not suitable for smaller companies."

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

"Sometimes the large injestion takes days to load data, and some of our stored procedures take two to three days."

"Stability-wise, we have had some issues with automation and the ability to handle large datasets."

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

"It would help to make scaling easier with a reduced cost. "

"I would like to see more integration with many different types of data."

"I think the UI is not there yet. It could be improved by being more user-friendly."

More Teradata cons

Pricing and Cost Advice

"We pay 9,000 dollars per year for our license."

"Its price is reasonable."

"The pricing is between $120 and $150 per year."

"The solution is open source."

"The price of Teradata could be less expensive."

"The cost is significantly high."

"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."

"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."

"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."

"It's a very expensive product."

"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."

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

Computer Software Company

25%

Financial Services Firm

12%

Manufacturing Company

Real Estate/Law Firm

Financial Services Firm

26%

Computer Software Company

11%

Healthcare Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Carbonite Server?

I find the BMR/image and the recovery pieces are valuable.

What needs improvement with Carbonite Server?

The ability to perform instant recovery would be a game changer. For a large user base, the creation of user accounts at this time is a little cumbersome, there isn't any Single-Sign-On (SSO) integ...

What is your primary use case for Carbonite Server?

I work for a managed services provider, and we supply the solution for various sized customers.

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...

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...

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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Compared 14% of the time

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Compared 11% of the time

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Compared 7% of the time

MySQL vs Teradata

Compared 7% of the time

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Compared 6% of the time

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Product Reports

Cloud Backup

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Also Known As

Carbonite Recover Backup

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

Overview

Carbonite Server securely replicates data to the local backup server while securing a second copy in the cloud. Granular restore and local failover options ensure rapid recovery and minimal data loss. With integrated hardware and cloud failover for critical systems, Carbonite Server provides reliable data protection.

OpenText

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.

Sample Customers

INLINE Commercial Construction, Hamilton County

Netflix

Carbonite Server vs. Teradata