Asigra vs Teradata comparison

Asigra and Teradata are both solutions in the Backup and Recovery category. Asigra is ranked #65, while Teradata is ranked #20 with an average rating of 7.5. Asigra holds a 0.3% mindshare in BRS, compared to Teradata’s 0.1% mindshare. Additionally, 90% of Asigra users are willing to recommend the solution, compared to 87% of Teradata users who would recommend it.

Asigra

Read 20 Asigra reviews

462 Views
314 Comparison Views

90% willing to recommend

Teradata

Read 76 Teradata reviews

132 Views
99 Comparison Views

87% willing to recommend

Asigra

Teradata

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Executive SummaryUpdated on Apr 20, 2025

Teradata and Asigra are competitors in data management and backup solutions. Teradata is favored for its powerful analytics, providing organizations with detailed insights, whereas Asigra is lauded for comprehensive backup and data protection, justifying its investment.

Features: Teradata offers advanced data warehousing with excellent scalability and real-time processing. Its integration capability is unmatched, providing robust analytics tools. Asigra, on the other hand, focuses on data protection with a strong backup and recovery system and efficient cloud integration.

Room for Improvement: Teradata could improve in simplifying its deployment process, reducing resource demands, and expanding user-friendly analytics interfaces. Asigra might enhance its analytics features, offer better customization, and improve integration with non-cloud environments.

Ease of Deployment and Customer Service: Teradata involves a complex setup, needing skilled personnel but offers substantial support. Asigra provides an easier deployment model with broad customer support, appealing to those seeking quick and straightforward implementation.

Pricing and ROI: Teradata requires considerable initial investment, with strong ROI due to its analytical power. Asigra provides competitive pricing with an emphasis on cost-effective data recovery, highlighting its value in data protection.

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

Buyer's Guide

Asigra vs. Teradata

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

Asigra

Ranking in Backup and Recovery

65th

Average Rating

8.2

Number of Reviews

Ranking in other categories

No ranking in other categories

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 Asigra is 0.3%, up from 0.2% 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

it_user219180

Owner at a tech services company with 51-200 employees

Although a fantastic backup system, it is very complex.

Although a fantastic backup system, it is very complex. Installation can take anywhere from 35 - 95 min (depending on the system resources) - prior to setting up any backup sets. Disaster Recovery is one area where Asigra requires some re-thinking. At this time the procedures for Disaster Recovery are even more complex then the initial installation. The DR set up must be the same as the original Backup Setup - naming conventions, unless well documented could increase the recovery time significantly. The constant checks and re-checks, although great for data integrity, affects recovery times - once installation of the recovery system is completed a database recovery must be started and then a synchronization of data files (which can take countless hours - depend on amount of data and available bandwidth). Only after all this is done the data recovery can begin. Bare Metal backup is great and works well, although recovery of systems to dissimilar hardware is difficult IF possible. Physical to virtual (only available to VMWare) is complex and requires VMWare tools be installed and configured...configuration can be difficult. For businesses that have Bandwidth issues Recoveries are difficult as interruptions or disruptions may require restarting the recovery of all files again and again until there are no network issues. Test recoveries on secondary systems are difficult - require stoppage of backup systems. Setting up a recovery server can be difficult as at times it may require stopping backup for a day or more depending on the tests run (for Disaster Recovery). For general test recoveries run of the original setup no extra setup is required.

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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

"I have found all the features useful in the solution."

"The agentless architecture has minimized our software footprint at the client level."

"It has helped us to provide comprehensive data protection with high recovery rates and a malware scanning feature."

"The solution has been very stable."

"It's stable and reliable."

"The most valuable feature of Teradata is security. It runs on Unix and Linux platforms which provide better security."

"The most valuable feature is the ease of uploading data from multiple sources."

"The solution's banking model, called FSLDM (Financial Services Logical Data Model), is sophisticated and good."

"The flexibility in design is very good."

"It has a solid set of tools and consulting services."

"It handles large amounts of information with a linear performance increase, in relation to a HW investment."

"Teradata effectively uses parallelism to the granular level, performing better than other databases."

More Teradata pros

Cons

"They should improve the malware scanning capabilities, extending it to protect cloud application data."

"The management could be a bit better."

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

"The initial setup is complex because there are a lot of factors that come into play, including the amount of software and applications that require access."

"It is hard for some of our users to set up rules for cleansing and transforming data, so this is something that could be improved."

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

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

"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."

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

More Teradata cons

Pricing and Cost Advice

"The price of Asigra could improve, it is expensive. We have purchased an annual license."

"Asigra is priced competitively, but requires technical expertise to operate, optimize, and maintain its services."

"The price of Teradata could be less expensive."

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

"Teradata used to be expensive, but they have been lowering their prices."

"Teradata is currently making improvements in this area."

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

"Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."

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

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

17%

Comms Service Provider

11%

Educational Organization

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

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...

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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

Veeam Data Platform vs Asigra

Compared 74% of the time

Acronis Cyber Protect vs Asigra

Compared 26% of the time

More Asigra Competitors

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 7% of the time

IBM Db2 Database vs Teradata

Compared 6% of the time

More Teradata Competitors

Product Reports

Buyer's Guide

Asigra

April 2025

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Buyer's Guide

Teradata

April 2025

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Also Known As

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

Overview

Asigra makes award-winning enterprise backup and recovery software that leads the industry in secure, reliable, manageable and affordable data protection. Asigra Cloud Backup works in the cloud or on-premise, for everything from mobile devices to entire data centers.

Asigra

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

British Red Cross, Special Olympics, London and Capital, L and K Bennett London, The Commonwealth, Hanrick Curran

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Buyer's Guide

Asigra vs. Teradata

April 2025

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