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OpenText Intelligence vs Teradata comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 5, 2026

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

OpenText Intelligence
Ranking in BI (Business Intelligence) Tools
37th
Average Rating
8.0
Reviews Sentiment
7.7
Number of Reviews
1
Ranking in other categories
Reporting (29th), Data Visualization (25th)
Teradata
Ranking in BI (Business Intelligence) Tools
8th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
83
Ranking in other categories
Customer Experience Management (5th), Backup and Recovery (11th), Data Integration (15th), Relational Databases Tools (7th), Data Warehouse (2nd), Marketing Management (4th), Cloud Data Warehouse (2nd), Database Management Systems (DBMS) (5th)
 

Mindshare comparison

As of August 2026, in the BI (Business Intelligence) Tools category, the mindshare of OpenText Intelligence is 0.9%, up from 0.4% compared to the previous year. The mindshare of Teradata is 1.3%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
BI (Business Intelligence) Tools Mindshare Distribution
ProductMindshare (%)
Teradata1.3%
OpenText Intelligence0.9%
Other97.8%
BI (Business Intelligence) Tools
 

Featured Reviews

it_user220707 - PeerSpot reviewer
Director & Lead Consultant at a consultancy with 51-200 employees
The Briefing Book feature enables measures to be filtered and viewed based on different criteria by end users.
This software is targeted at executive users, not the data analysts who want to slice and dice. The software will not replace your BI tools, but it will sit nicely on top of a BI tool if you want management to have quick and easy access to performance data. Initiative Management Metrics Management – Key Interfaces
David Durand Velásquez - PeerSpot reviewer
Engineers at a consultancy with 11-50 employees
Delivers consistent performance and enables advanced analytics across complex data environments
Teradata stands out as a solid platform for managing and analyzing large volumes of data. Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments. One of its most notable strengths is the ability to run complex queries at high speed, which is essential for organizations that require timely and reliable analytics. Teradata offers a well-integrated ecosystem that supports working with different types of data and enables scalability as organizational needs grow. Its focus on advanced analytics, integration with modern business intelligence tools, and the ability to operate both on-premise and in the cloud make it a versatile solution for data warehousing and large-scale processing. Teradata's stability, technological maturity, and the availability of strong documentation and best practices are noteworthy. I consider Teradata to be a tool with great potential for any organization looking to enhance its analytical capabilities, optimize data processing, and move toward more data-driven decision-making. Teradata stands out as a solid platform for managing a large volume of data in different projects. Its architecture allows information to be processed efficiently while maintaining stable performance, even in high-demanding environments. A well-integrated AI ecosystem that supports working with different types of data and enables scalability as organizational needs grow across different kinds of enterprises or organizations. The focus on advanced analytics integration with modern business intelligence tools is particularly valuable. Teradata combines a powerful parallel process and optimizing SQL engine with a highly scalable architecture allowing businesses to execute complex queries and analytics in real-time. It supports multi-cloud, hybrid, and on-premise environments, giving organizations flexibility to choose the setup that best aligns with their strategy. One of the biggest strengths is the ability to unify disparate data sources and support high concurrency, enabling different teams, such as analytics, operations, BI, and data science, to access consistent, trusted data across the enterprise.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"It is a comprehensive solution for performance management, and yet it is easy to setup and easy to use, especially in comparison with Oracle, SAS, Hyperion and SAP."
"It handles large amounts of information with a linear performance increase, in relation to a HW investment."
"If the priority is to find the best tool that can be relied on with less maintenance and good performance, Teradata is definitely a good option, but again, homework must be done to see which one suits the data workloads."
"We moved from an Enterprise platform, to non-Enterprise and ended up with a machine that was 20X more powerful."
"It is a highly robust software solution."
"Our customers are very impressed by Teradata's speed, because it's massively parallel processed."
"Teradata has immensely helped our organization to fetch the data at a faster rate, which has saved us quite a lot of time."
"The ease of deployment is useful so clients are up and running quickly in comparison to other products."
"The solution's banking model, called FSLDM (Financial Services Logical Data Model), is sophisticated and good."
 

Cons

"It needs to have better quality built in reports."
"I'd like to see better processing on a transactional level and star schema optimization."
"Teradata customer support in India is very bad."
"Azure Synapse SQL has evolved from a solely dedicated support tool to a data lake. It can store data from multiple systems, not just traditional database management systems. On the other hand, Teradata has limitations in loading flat files or unstructured data directly into its warehouse. In Azure Synapse SQL, we can implement machine learning using Python scripts. Additionally, Azure Synapse SQL offers advanced analytical capabilities compared to Teradata. Teradata is also expensive."
"The solution needs improvement in its stability, support and pricing."
"The cost of Teradata Cloud Data Warehouse has room for improvement."
"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."
"Concurrency is still a challenge, pricing is still high."
"It needs a teaching web site with more training on third-party tools used for BI."
 

Pricing and Cost Advice

Information not available
"It's a very expensive product."
"Teradata is a very expensive solution."
"Teradata used to be expensive, but they have been lowering their prices."
"In this day and age, we want to get things done quickly. So, we go to the AWS Marketplace."
"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."
"Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."
"The cost of running Teradata is quite high, but you get a good return on investment."
"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."
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Comparison Review

it_user232068 - PeerSpot reviewer
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…
 

Top Industries

By visitors reading reviews
Construction Company
17%
Comms Service Provider
12%
Outsourcing Company
11%
Insurance Company
8%
Financial Services Firm
18%
Manufacturing Company
8%
Construction Company
8%
Comms Service Provider
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business28
Midsize Enterprise13
Large Enterprise53
 

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...
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,...
 

Also Known As

OpenText Magellan Analytics Suite, BIRT iHub Visualization Platform, OpenText Actuate Information Hub
IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture, Teradata Vantage Enterprise (DIY)
 

Overview

 

Sample Customers

Sasktel, NSBSL
Netflix
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