Iron Mountain Connect vs Teradata comparison

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Iron Mountain Connect

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Executive SummaryUpdated on Apr 20, 2025

Teradata and Iron Mountain Connect are both involved in data management and storage solutions. Teradata seems to have the upper hand in scalability and performance, appealing to organizations with larger data needs, while Iron Mountain Connect is favored for its robust security features prioritized by businesses focusing on data protection.

Features: Teradata offers strong analytics, making it suitable for handling large data volumes. Its scalability benefits businesses needing extensive data analytics, while its advanced data processing enhances performance. Iron Mountain Connect provides superior data security, crucial for industries with high data safeguarding requirements. It emphasizes secure data storage, with functionalities that ensure easy access to protected data.

Ease of Deployment and Customer Service: Teradata’s deployment process is complex and often requires specialized staff for integration, alongside support that may take time for resolutions. Iron Mountain Connect offers a straightforward deployment model, enabling minimal interference and quicker setup. Its customer service is responsive, ensuring efficient issue resolution and offering a smoother onboarding experience compared to Teradata.

Pricing and ROI: Teradata involves a higher initial setup cost due to its advanced features, though companies often find the ROI justifiable through its performance benefits. Iron Mountain Connect provides a budget-friendly setup cost, appealing to businesses with tighter budgets, with ROI centered around cost-effective data protection without sacrificing core functionalities.

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

Iron Mountain Connect 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

Iron Mountain Connect

Ranking in Backup and Recovery

69th

Average Rating

8.6

Reviews Sentiment

8.3

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 Iron Mountain Connect 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

Raj Bhaduri

Enterprise architect at Centrica

Good policies related to data

I primarily use it for various policies related to data, such as data retention, data deletion, and archiving policies. All policies can be set using this system The most valuable feature for me is the policy management capabilities. I would like to see more integration with different platforms,…

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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

"The most valuable feature for me is the policy management capabilities"

"Cuts time to process huge amounts of data with efficient analytical queries."

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

"The flexibility in design is very good."

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

"It's very mature from a technology perspective."

"It's stable and reliable."

"Parallel processing features have helped to easily dump any size of data and retrieve data with great performance."

"Teradata has good performance, the response times are very fast. Overall the solution is easy to use. When we do the transformation, we have all of our staging and aggregation data available."

More Teradata pros

Cons

"I would like to see more integration with different platforms."

"The solution is stable. However, there are times when we are using large amounts of data and we can see some latency issues."

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

"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."

"The solution’s pricing, scalability, and technical support response time could be improved."

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

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

"The setup is not straightforward."

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

More Teradata cons

Pricing and Cost Advice

Information not available

"We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise."

"The tool costs about 30,000 euros a month, while Azure Synapse SQL only costs 10,000."

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

"It's a very expensive product."

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

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

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

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

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

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

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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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Product Reports

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Also Known As

No data available

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

Overview

Connected Accounting&ERP is a mid-range accounting program with single user and network editions for Macintosh and Windows operating systems. Connected can be shared concurrently by both Mac OS and Windows users on a single data file. Connected "Core Accounting" consists of the General Ledger, Accounts Receivable and Accounts Payable modules. Connected "Enterprise" builds on the Core Accounting aspects by adding powerful inventory, job costing, and currency additions. Pricing starts at $399.00.

Iron Mountain

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

University of La Verne

Netflix

Iron Mountain Connect vs. Teradata