OpenText Intelligence vs Teradata comparison

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OpenText Intelligence

Comparison Buyer's Guide

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Executive SummaryUpdated on Apr 5, 2026

Teradata and OpenText Intelligence compete in enterprise data management. Despite Teradata's competitive pricing and reliable support, OpenText Intelligence stands out due to its comprehensive feature set, which justifies its premium price.

Features: Teradata is known for scalability, advanced analytics, and robust data integration, suitable for large-scale operations. OpenText Intelligence offers strong data analysis, mining features, and easy access to unstructured data. Teradata targets high-performance data warehousing, while OpenText's analysis tools are preferred for deep insights.

Ease of Deployment and Customer Service: Teradata ensures straightforward deployment with significant support for integration into existing systems. OpenText Intelligence also provides efficient deployment with a focus on analytics capabilities and extensive documentation. Teradata emphasizes integration support, whereas OpenText prioritizes analytics and training.

Pricing and ROI: Teradata offers cost-effective solutions with considerable ROI, appealing to businesses focused on large data volumes. OpenText Intelligence, although higher in initial cost, delivers ROI through advanced features and actionable insights. The investment in OpenText's analytics and mining functionalities benefits decision-making, thereby justifying its premium.

To learn more, read our detailed BI (Business Intelligence) Tools Report (Updated: May 2026).

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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

OpenText Intelligence

Ranking in BI (Business Intelligence) Tools

36th

Average Rating

8.0

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

Reporting (29th), Data Visualization (24th)

Teradata

Ranking in BI (Business Intelligence) Tools

7th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (5th), Backup and Recovery (15th), Data Integration (14th), Relational Databases Tools (5th), Data Warehouse (3rd), Marketing Management (4th), Cloud Data Warehouse (2nd), Database Management Systems (DBMS) (4th)

Mindshare comparison

As of June 2026, in the BI (Business Intelligence) Tools category, the mindshare of OpenText Intelligence is 0.8%, up from 0.3% compared to the previous year. The mindshare of Teradata is 1.2%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools Mindshare Distribution
Product	Mindshare (%)
Teradata	1.2%
OpenText Intelligence	0.8%
Other	98.0%

BI (Business Intelligence) Tools

Featured Reviews

it_user220707

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

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David Durand Velásquez

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.

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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

"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."

"The most valuable features of Teradata are that it is a massively parallel platform and I can receive a lot of data and get the queries out correctly, especially if it's been appropriately designed. The native features make it very suitable for multiple large data tasks in a structured data environment. Additionally, the automation is very good."

"The solution is speedy and doesn't require much of a DBA team, it's kind of baked right into the product."

"It is the core of our fundamental real-time reporting and operational planning and has saved us over eight figures in the operational run costs, improved data quality and consistency as well as reduced our overall infrastructure support requirements."

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

"There are two very useful features: one is the fast data input for more or less any online data, and two, it also has a lot of tools for data engineering or data manipulation that are compatible."

"In Data Lab, you can schedule any testing you want to do in production. You can take a small subset of data from production, copy it there, and run all your tests. It reduces your testing costs because it's all in the lab."

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

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

More Teradata pros

Cons

"It needs to have better quality built in reports."

"Limited interest and success in some areas make us hesitate about upgrading."

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

"An area that needs improvement is the cloud-based version of the solution because it's designed for on-prem and then transferred to the cloud version."

"The increasing volumes of data demand more and more performance."

"I was not impressed by tech support. We made several requests regarding performance issues we had with our applications but did not get helpful answers."

"The tool's flexibility and capacity for expansion are areas of concern where improvements are required."

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

"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."

More Teradata cons

Pricing and Cost Advice

Information not available

"The solution requires a license."

"The cost is significantly high."

"Teradata is expensive, so it's typically marketed to big customers. However, there have been some changes, and Teradata is now offering more flexible pricing models and equipment leasing. They've added pay-as-you-go and cloud models, so it's changing, but Teradata is generally known as an expensive high-end 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."

"I would advise others to look into migration and setup as a fixed price and incorporate a SaaS option for other Teradata services."

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

"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."

"The cost is substantial, totaling around $1.2 million, solely dedicated to upgrading the hardware."

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

Comms Service Provider

13%

Outsourcing Company

11%

Construction Company

10%

Insurance Company

Financial Services Firm

20%

Manufacturing Company

Construction Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	28
Midsize Enterprise	13
Large Enterprise	53

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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Comparisons

Tableau Enterprise vs OpenText Intelligence

Compared 11% of the time

Microsoft Power BI vs OpenText Intelligence

Compared 9% of the time

Qlik Sense vs OpenText Intelligence

Compared 9% of the time

SAP BusinessObjects Business Intelligence vs OpenText Intelligence

Compared 6% of the time

Salesforce Einstein Analytics vs OpenText Intelligence

Compared 6% of the time

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Snowflake vs Teradata

Compared 4% of the time

Oracle Database vs Teradata

Compared 4% of the time

SQL Server vs Teradata

Compared 3% of the time

MySQL vs Teradata

Compared 3% of the time

Oracle Exadata vs Teradata

Compared 2% of the time

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Product Reports

Reporting

Download OpenText Intelligence product report

Download Teradata product report

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

OpenText Intelligence is a powerful analytics tool designed to help organizations make data-driven decisions through its comprehensive features and applications.

In today’s data-rich environment, OpenText Intelligence stands out with its capabilities to process, analyze, and visualize complex data sets efficiently. It allows enterprises to unlock insights that inform strategy and drive growth. By integrating seamlessly with existing systems, it promotes agility and enhances analytical processes. Users appreciate its ability to transform raw data into actionable intelligence, streamlining operations and fostering a culture of informed decision-making.

What are the standout features of OpenText Intelligence?

Data Visualization: Provides intuitive charts and graphs for easy comprehension of complex data.
Scalability: Adapts to growing data needs, ensuring robust performance across different data volumes.
Integration Capabilities: Offers seamless integration with other enterprise systems for enhanced efficiency.
Automated Reporting: Delivers regular reports without manual intervention, saving time and resources.

What benefits or ROI should users expect when choosing OpenText Intelligence?

Enhanced Decision-Making: Empowers businesses with real-time insights, driving informed choices.
Operational Efficiency: Streamlines processes, reducing inefficiencies and operational costs.
Data-Driven Culture: Fosters a shift towards analytics-based operations, improving strategic outcomes.
Cost-Effectiveness: Offers a strong return on investment through improved analytics and reporting.

OpenText Intelligence is effectively utilized across sectors like finance, healthcare, and manufacturing, adapting its functions to meet sector-specific challenges. In finance, it helps manage risk and compliance, while in healthcare, it supports patient data analysis and operational efficiencies. In manufacturing, it aids in supply chain optimization and quality assurance.

OpenText

Teradata is a powerful tool for handling substantial data volumes with its parallel processing architecture, supporting both cloud and on-premise environments efficiently. It offers impressive capabilities for fast query processing, data integration, and real-time reporting, making it suitable for diverse industrial applications.

Known for its robust parallel processing capabilities, Teradata effectively manages large datasets and provides adaptable deployment across cloud and on-premise setups. It enhances performance and scalability with features like advanced query tuning, workload management, and strong security. Users appreciate its ease of use and automation features which support real-time data reporting. The optimizer and intelligent partitioning help improve query speed and efficiency, while multi-temperature data management optimizes data handling.

What are the key features of Teradata?

Parallel Processing Architecture: Enables efficient handling of substantial data volumes.
Cloud and On-Premise Deployment: Offers seamless adaptability across environments.
Query Tuning: Improves speed and performance of data retrieval processes.
Workload Management: Ensures optimal resource allocation for enhanced performance.
Robust Security: Provides high levels of data protection and system integrity.
Data Integration: Facilitates cohesive data management from multiple sources.
Automation for Real-time Reporting: Enhances timely data insights and decision-making.
Optimizer and Intelligent Partitioning: Further increase query speed and system efficiency.
Multi-Temperature Data Management: Optimizes the handling and retrieval of data.

What benefits and ROI do users look for?

Efficient Data Management: Facilitates smooth integration and processing of diverse data sets.
Scalability: Easy adjustment to increasing or decreasing data requirements.
Improved Performance: Fast query speeds and optimized resource use.
Comprehensive Security: Safeguards data integrity and accessibility.
Ease of Use: Simplifies data handling and operational processes.

In the finance, retail, and government sectors, Teradata is employed for data warehousing, business intelligence, and analytical processing. It handles vast datasets for activities like customer behavior modeling and enterprise data integration. Supporting efficient reporting and analytics, Teradata enhances data storage and processing, whether deployed on-premise or on cloud platforms.

Sample Customers

Sasktel, NSBSL

Netflix

BI (Business Intelligence) Tools