Pyramid Analytics vs Teradata comparison

Pyramid Analytics and Teradata are both solutions in the BI (Business Intelligence) Tools category. Pyramid Analytics is ranked #15 with an average rating of 7.8, while Teradata is ranked #9 with an average rating of 7.5. Pyramid Analytics holds a 0.9% mindshare in BIT, compared to Teradata’s 0.9% mindshare. Additionally, 87% of Pyramid Analytics users are willing to recommend the solution, compared to 87% of Teradata users who would recommend it.

Pyramid Analytics

Read 8 Pyramid Analytics reviews

1,127 Views
778 Comparison Views

87% willing to recommend

Teradata

Read 76 Teradata reviews

10,676 Views
534 Comparison Views

87% willing to recommend

Pyramid Analytics

Teradata

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 27, 2025

Teradata and Pyramid Analytics compete in the business intelligence and analytics category. Teradata appears to have the upper hand due to its advanced features and high level of performance and reliability.

Features: Teradata features robust parallel processing architecture, optimizing large data queries effortlessly. Its shared-nothing architecture ensures scalable performance. Moreover, Teradata provides in-database analytics, enhancing business insights. Pyramid Analytics offers intuitive drill-down functionalities, strong DAX query support, and broad connectivity that enable comprehensive data analysis and self-service capabilities.

Room for Improvement: Teradata faces challenges with cost scalability and cloud integration. It also requires improvements in handling unstructured data and enhancing SQL functionalities. Pyramid Analytics could improve its user interface navigation and expand its documentation. Refinements in dashboard modification and comprehensive analytics could enhance the user experience.

Ease of Deployment and Customer Service: Teradata offers flexible deployment options in both on-premises and cloud environments and is generally rated high in customer service, though response times can improve. Pyramid Analytics provides deployment flexibility as well but needs enhancements in user navigation training. Its customer service is satisfactory, but better documentation and training could improve customer satisfaction.

Pricing and ROI: Teradata is perceived as expensive but offers high ROI for large enterprises due to significant performance and reliability, although its evolving pricing models remain a concern for smaller businesses. Pyramid Analytics is a more cost-effective option, appealing to mid-sized companies by providing budget-friendly access to intuitive BI tools, which aligns well with companies seeking an efficient, economical solution.

To learn more, read our detailed Pyramid Analytics vs. Teradata Report (Updated: July 2025).

Buyer's Guide

Pyramid Analytics vs. Teradata

July 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

Pyramid Analytics

Ranking in BI (Business Intelligence) Tools

15th

Average Rating

7.6

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Visualization (12th)

Teradata

Ranking in BI (Business Intelligence) Tools

9th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (20th), Data Integration (15th), Relational Databases Tools (8th), Data Warehouse (3rd), Marketing Management (6th), Cloud Data Warehouse (4th)

Mindshare comparison

As of August 2025, in the BI (Business Intelligence) Tools category, the mindshare of Pyramid Analytics is 0.9%, up from 0.7% compared to the previous year. The mindshare of Teradata is 0.9%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools

Featured Reviews

Shyam Pendyala

Manager, BI Platforms at Refinitiv, an LSEG Business at LSEG (London Stock Exchange Group)

A comprehensive and user-friendly business intelligence for enhanced data insight

When developing multidimensional IMDS models in Pyramid Analytics, there is a need for better features to maintain and analyze data. The application currently lacks the ability to easily track the original physical table and field names, making it challenging to relate them to business names. It would be desirable to have the possibility to generate a data dictionary, detailing the original physical tables, renamed fields, and derived fields. Such features would simplify documentation, facilitate understanding of how calculations depend on physical fields and aid in explaining the development process to others. Having this lineage and easy-to-generate data dictionary would greatly enhance the usability of Pyramid Analytics for developers.

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RajeshKumar25

Principal Consultant & Director at Quensulting

Harnessing advanced parallelism for top performance while embracing cloud trends

Teradata is primarily used for data warehousing across all customers. My clients have built-in applications that use Teradata, and their use varies from customer to customer, depending on the industry and database size. The primary function is as an OLAP analytical ecosystem Scalability is…

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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 features I find most valuable are 'Discover,' 'Formulate,' and 'Model.' I use them regularly to build logic and create reports for my job."

"The most valuable feature of Pyramid Analytics, outshining even top-tier platforms like Power BI, is its robust support for DAX queries."

"The on-premise version has quite good scalability."

"Pyramid has a wide level of uses, as it's a complete ETL process and has a good level of connecting to a lot of data sources."

"I think the most valuable Pyramid Analytics feature is the solution's ability to drill down and dice in the loop. I think it is better than InExcel or Power BI."

"It offers a wide range of analytics options including statistics and visualizations, as well as prediction capabilities, allowing users to make forecasts based on the latest data."

"It seems quite performant in analyzing multi-dimensional information sets and presenting them."

"It proved to be a very powerful and useful tool due to its breakdown capabilities, easy reporting features, flexibility in building custom calculations, and the ability to integrate them into reports."

"The two types of partitioning have been very significant for us - row and columnar partitioning."

"Viewpoint, the detailed query logs and performance statistics are valuable features."

"The tool's most valuable feature is the warehousing model."

"We did performance testing. We had a set of real life MicroStrategy reports. Our conditions were: Not allowed to redesign data model, not allowed to rewrite the queries, all queries should be generated by MicroStrategy, no aggregates. Teradata appeared to be way faster than a similarly configured (in terms of hardware) Oracle server."

"Auto-partitioning and indexing, and resource allocation on the fly are key features."

"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."

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

"I found all parts --loading, transformation, processing & querying work in parallel, and end-to-end-- to be valuable."

More Teradata pros

Cons

"I find that this is quite a heavy, time-consuming tool for developers."

"There is room for improvement in terms of documentation and examples, especially for newcomers like me who are learning both business intelligence and Pyramid."

"The general amount of negative comments that I am hearing from my team makes me very wary."

"Pyramid Analytics could improve by speeding up data refresh, especially for large datasets."

"Even though the solution has a functionality for every step, it's not so well- defined. That needs to be improved."

"It would be desirable to have the possibility to generate a data dictionary, detailing the original physical tables, renamed fields, and derived fields."

"I think the graphic number of charts and components could be higher, at least comparable to Brain Power BI."

"There is room for improvement in terms of the user interface, particularly when it comes to modifying connections between filters and visual components in a dashboard."

"I would like more security and speed."

"There is a need to improve performance in high transaction processes, as well as the reporting system."

"When backups are performed, it locks the database, preventing user access, which is a concern."

"Teradata hardly supports unstructured data or semi-structured data"

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

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

"The only issue our company has with Teradata IntelliFlex is that it is not cost-effective because of the way the product has been designed."

"Teradata should focus on functionality for building predictive models because, in that regard, it can definitely improve."

More Teradata cons

Pricing and Cost Advice

"The licensing cost is not excessively expensive, but it does increase with the addition of new features and modules."

"The cost is significantly high."

"The price of Teradata is on the higher side, and I think that it where they lose out on some of their business."

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

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

"The product cost is high for what the client gets. There may be more cost-effective solutions for small and medium-sized organizations."

"Make sure you have the in-house skills to design and support the solution, as relying on external sources is extremely costly and tends to lock you into specific platforms, tools, and paradigms."

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

"The cost of running Teradata is quite high, but you get a good return on investment."

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…

Read full review

Top Industries

By visitors reading reviews

Financial Services Firm

11%

Computer Software Company

11%

Government

11%

Manufacturing Company

Financial Services Firm

26%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Pyramid Analytics?

The most valuable feature of Pyramid Analytics, outshining even top-tier platforms like Power BI, is its robust support for DAX queries.

See all answers

What is your experience regarding pricing and costs for Pyramid Analytics?

I find the price of Pyramid Analytics to be quite reasonable, especially when compared to other tools in the industry. It is a cost-effective choice, particularly for mid-sized or larger companies ...

See all answers

What needs improvement with Pyramid Analytics?

Pyramid Analytics could improve by speeding up data refresh, especially for large datasets. While it is currently an in-memory tool, efforts are underway to enhance direct connections to source sys...

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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...

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...

See all answers

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,...

See all answers

Comparisons

Microsoft Power BI vs Pyramid Analytics

Compared 47% of the time

Tableau Enterprise vs Pyramid Analytics

Compared 17% of the time

Qlik Sense vs Pyramid Analytics

Compared 10% of the time

Apache Superset vs Pyramid Analytics

Compared 9% of the time

Databricks vs Pyramid Analytics

Compared 6% of the time

More Pyramid Analytics Competitors

Oracle Exadata vs Teradata

Compared 12% of the time

SQL Server vs Teradata

Compared 8% of the time

IBM Db2 Database vs Teradata

Compared 7% of the time

Snowflake vs Teradata

Compared 7% of the time

OpenText Analytics Database (Vertica) vs Teradata

Compared 6% of the time

More Teradata Competitors

Product Reports

Buyer's Guide

Pyramid Analytics

August 2025

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Buyer's Guide

Teradata

July 2025

Download Teradata product report

Also Known As

No data available

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

Overview

The BI Office from Pyramid Analytics is a web-based governed data discovery and analytics platform. It integrates the four principal functions of any comprehensive BI strategy into a single, seamless application. Users can now analyze, present, report and predict on their data in a single application. Pyramid Analytics has native apps to cover the entire mobile spectrum, iOS, Android and Windows. With BI Office users can integrate SAP data with data from other sources giving them the right tools and better data to make data-driven decisions.

Pyramid Analytics

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

US Department of Veterans Affair, Volkswagen, Siemens, Blackboard, Hallmark, Orange, CDW, LA Fitness, Atelier GS, Memorial Healthcare, Acadia Insurance, BancoBic, Advanced Learning, Microsoft, Drake University

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Buyer's Guide

Pyramid Analytics vs. Teradata

July 2025

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