IBM Spectrum Protect vs Teradata comparison

Read 76 Teradata reviews

132 Views
99 Comparison Views

87% willing to recommend

IBM Spectrum Protect

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Apr 20, 2025

Teradata and IBM Spectrum Protect are both prominent in the data processing and data management sectors. Teradata appears to have the upper hand in speed and analytics, while IBM Spectrum Protect excels in backup and recovery.

Features: Teradata offers Massive Parallel Processing for quick handling of large data volumes, advanced workload management, and effective partitioning options that ensure high performance and scalability. IBM Spectrum Protect provides comprehensive backup and recovery functions, featuring data deduplication, disaster recovery management, and compatibility with various platforms, enhancing its flexibility and storage capabilities.

Room for Improvement: Teradata could improve in transactional processing and cloud compatibility, with costs and integration complexity being other areas to address. IBM Spectrum Protect could enhance its user interface for better ease of use and improve cloud and virtual environment integration, while also simplifying its licensing approach.

Ease of Deployment and Customer Service: Teradata supports deployment in both public and hybrid clouds, accompanied by high customer satisfaction in technical support. IBM Spectrum Protect is mainly deployed on-premises but offers hybrid cloud options. Its users value technical expertise but desire quicker support response times.

Pricing and ROI: Teradata is seen as costly but delivers significant value for large enterprises requiring powerful analytics, achieving ROI through efficiency. IBM Spectrum Protect's pricing is also considered high, particularly for smaller businesses, but its enterprise-level features justify a favorable ROI for larger organizations, despite its complex licensing model.

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

IBM Spectrum Protect vs. Teradata

Download the complete report

Helped 850,028 peers since 2012

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

IBM Spectrum Protect

Ranking in Backup and Recovery

17th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

149

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 IBM Spectrum Protect is 2.2%, up from 2.3% 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

Syed Habib

Head of Infrastructure Security (S.A.V.P) at EXIM Bank Ltd

Manageable and comprehensive and integrates robust backup features for core banking

It's adequate for my core banking, however, I am looking for another solution for all systems. It is not compatible with other operating systems like Windows or Linux, and lacks a consolidated dashboard from Browser Spectrum. This is why I am searching for another solution. The product also lacks any centralized graphical user interface (GUI), such as Jarek Pod, and I am limited to using a console-based text user interface, which my local partner handles completely.

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

"It allows us to have one interface."

"Scalability is pretty much unlimited."

"Some of the people in our group, like our DBAs and non-technical people, can restore some stuff themselves via Spectrum Protect. That is how simple it is."

"You can do restores very quickly. You can mount a drive and restore it right from the drive."

"It is scalable beyond anything my customers ever aspire to."

"We've found the product to be quite stable and the performance is very good."

"We can freeze and start databases for consistent backups."

"The archiving feature is the most valuable aspect of the solution."

More IBM Spectrum Protect pros

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

"The performance is great, we are able to query our data in one operation."

"Teradata's capabilities enhance data management efficiency, support scalability, and contribute to faster query performance."

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

"The solution scales well on the cloud."

"Things have started moving faster in my company, such as data retrieval happens more quickly."

"It is a stable program."

"Teradata is a great, industry-leading data warehousing product that has MPP architecture."

More Teradata pros

Cons

"Integration with some applications in the healthcare field could be added, as that is a big part of our business."

"I would like to see monitoring within the platform: monitoring for storage pools and monitoring for the server's health (e.g., CPU and memory)."

"They should introduce more features for virtualization platforms and backing up IBMs. Backup speeds should also be improved."

"Probably educating the virtual group who are not as used to the product. Most of our expertise is with AIX servers and virtual server backups."

"It seems like they are a little behind on the integration to Azure Cloud as well as Amazon."

"The initial setup is complex."

"The product’s recovery process in terms of agent installation needs improvement"

"I would like to see integration with Copy Data Management, which is an IBM product. Right now, these two products are siloed, so if these two become integrated, the product would become a bit of a powerhouse."

More IBM Spectrum Protect cons

"The initial setup was complex as we had to rewrite a lot of the code."

"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."

"The primary challenge with Teradata lies in its cost structure, encompassing subscription fees, software licenses, and hardware expenses."

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

"The following could be better: licensing, architecture openness, integration with other tools."

"Teradata is an expensive tool. Like, if you're already using Microsoft products like Windows, they'll market all their products together. And with the rise of cloud technologies, companies will adopt solutions that offer them some privileges or facilities. Similar to how SAP does it in the market, so do Microsoft and other companies. Even Oracle and other such tools are quite commonly seen compared to Teradata's competitors in everyday solutions."

"They should add more connectors to different platforms."

"The cloud is the new challenge and the new opportunity."

More Teradata cons

Pricing and Cost Advice

"When compared to the cost of other enterprise products, it seems to be in the same range. However, compared to the cost of non-enterprise products, it is really high."

"IBM provides an open license policy, which is more like a gentlemen's agreement."

"It can be perceived as expensive since it is designed for enterprise use."

"We chose IBM Spectrum Protect, because they actually have something called MSP pricing, which means managed services provider pricing. The pricing was attractive, and it seems to be a platform that IBM is totally investing on in terms of new functions and new capabilities."

"The solution's pricing is fair. Price-wise, I rate the solution an eight out of ten."

"IBM Spectrum Protect, cost-wise, has way higher pricing than Veeam. By switching over to Veeam, my company saved over $600,000 in USD. The IBM Spectrum Protect pricing is a two on a scale of one to ten. My company paid additional fees for maintenance, apart from the standard licensing fees."

"Licensing can be either complicated or simple depending on what type of licensing you wish to use and what works best for your environment."

"The licensing is varied. If we have small environments (not many TB being managed) it is best to license by PVUs (depending on the number of cores of the machine). If we manage many TBs we look at licensing by capacity which allows us to use all the agents of the product."

More IBM Spectrum Protect pricing and cost advice

"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."

"I am using the free version of Teradata."

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

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

"The cost is significantly high."

"The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space."

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

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

More Teradata pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Backup and Recovery solutions are best for your needs.

See recommendations

850,028 professionals have used our research since 2012.

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

17%

Computer Software Company

13%

Government

University

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 IBM Spectrum Protect?

IBM Spectrum Protect is stable.

What is your experience regarding pricing and costs for IBM Spectrum Protect?

It's expensive. I acknowledge the cost associated with it.

What needs improvement with IBM Spectrum Protect?

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,...

IBM Spectrum Protect Plus vs IBM Spectrum Protect

Comparisons

Compared 18% of the time

Veeam Data Platform vs IBM Spectrum Protect

Compared 18% of the time

Commvault Cloud vs IBM Spectrum Protect

Compared 10% of the time

Dell PowerProtect DD (Data Domain) vs IBM Spectrum Protect

Compared 10% of the time

Rubrik vs IBM Spectrum Protect

Compared 7% of the time

More IBM Spectrum Protect 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

IBM Spectrum Protect

Download IBM Spectrum Protect product report

Download Teradata product report

Also Known As

IBM TSM, IBM Tivoli Storage Manager

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

Overview

IBM Spectrum Protect (Tivoli Storage Manager) is a data protection platform that gives enterprises a single point of control and administration for backup and recovery. It is the flagship product in the IBM Spectrum Protect (Tivoli Storage Manager) family. It enables reliable, cost effective backups and fast recovery for virtual, physical and cloud environments of all sizes.

IBM

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

CERN, Einstein Healthcare, Nyherji, Allianz Australia, TZM, ABT Online, NCT, Kindred Healthcare Inc., Cobalt Iron, TransGrid, Baptist Health of Northeast Florida, Cash America, Piedmont Healthcare, RWGV, Arkansas Tech University, British Columbia Institute of Technology

Netflix

IBM Spectrum Protect vs. Teradata