Knowage vs Teradata comparison

Knowage and Teradata are both solutions in the BI (Business Intelligence) Tools category. Knowage is ranked #34, while Teradata is ranked #9 with an average rating of 7.5. Knowage holds a 0.4% mindshare in BIT, compared to Teradata’s 0.9% mindshare. Additionally, 85% of Knowage users are willing to recommend the solution, compared to 87% of Teradata users who would recommend it.

Knowage

Read 18 Knowage reviews

476 Views
338 Comparison Views

85% willing to recommend

Teradata

Read 76 Teradata reviews

473 Views
349 Comparison Views

87% willing to recommend

Knowage

Teradata

Comparison Buyer's Guide

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Executive SummaryUpdated on Apr 20, 2025

Knowage and Teradata compete in the business intelligence and analytics sector. Teradata has the upper hand with its advanced features, although Knowage appeals with its pricing and support.

Features: Knowage provides robust open-source capabilities, flexibility, adaptability, and strong data visualization and reporting features. It caters to diverse analytics needs. Teradata handles large-scale data operations efficiently, manages complex queries, and integrates advanced analytics and integration capabilities, making it suitable for enterprise tasks.

Room for Improvement: Knowage could benefit from more structured professional support, enhanced deployment capabilities, and improved formal documentation. Teradata may improve by providing more user-friendly interfaces, reducing its initial setup complexity, and offering more flexible pricing options to appeal to a wider range of businesses.

Ease of Deployment and Customer Service: Knowage's open-source model accommodates various deployment scenarios, offering community-driven support that eases integration. Teradata offers comprehensive support and deployment guidance, ideal for large enterprises, backed by dedicated customer service.

Pricing and ROI: Knowage's open-source nature results in low initial setup costs, presenting a high ROI if strategically deployed. Teradata requires higher initial investment but promises substantial long-term ROI due to its efficient data handling and robust support, making it appealing for performance-oriented enterprises.

To learn more, read our detailed Knowage vs. Teradata Report (Updated: June 2025).

Buyer's Guide

Knowage vs. Teradata

June 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

Knowage

Ranking in BI (Business Intelligence) Tools

34th

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Reporting (26th)

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 (5th), 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 June 2025, in the BI (Business Intelligence) Tools category, the mindshare of Knowage is 0.4%, down from 0.5% 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

AbdulshukoorMohammed

General Manager Information Technology & Enterprise Applications Manager at OXFORD HOLDING

Easy to customize, cross-platform capable, and very stable

The only challenge here is that it's a Java-based platform. It requires very high technical skills. When we come to the integration with the single sign-on facilities, that part is very challenging. In Power BI and other tools, it's very easy to integrate with active directory and single sign-on, and identity management is very easy in other business intelligence tools. However, when it comes to Knowage, it's a bit heavy, it's time-consuming sometimes, it's not very fast, and definitely not as fast as other business intelligence tools in terms of getting graphical reports. The solution could be cheaper.

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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

"We can easily do our own customizations."

"The embedding feature is great."

"I can't name the features the way the Knowage community calls them because I still don't know the lingo. However, I can describe them. I like the ability to join more than one report, set all fields on one end, and replicate that on the other reports. I like that a lot. I think it's one of the features that got me using Knowage. They have tables, and I like that too. They took SQL scripts and many other scripts and enabled them to even correlate with Python. That's also one of the best things about Knowage. You could also decide to get information per user role, and this is also a feature that I like in Knowage."

"The concept of engines is quite powerful allowing the user to work with report authoring/provisioning tools of their choice."

"It is a stable program."

"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."

"The most valuable features are the Shared-nothing architecture and data protection functionality."

"It is a stable solution. Stability-wise, I rate the solution a nine out of ten."

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

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

"Teradata can be easily used in ETL mode transformations, so there is no need for expensive and inconvenient ETL tools"

"We really enjoy the FastLoad, TPump, and MultiLoad features."

More Teradata pros

Cons

"The dashboard components could be better."

"Development of SpagoBI has now been moved to Knowage. Users interested in further developments of the platform will have to look there."

"It would be better if more resources were available to help us learn how to use it. I wanted to use Knowage for a more extended period, but learning materials around the product were not really available and were not really straightforward. I've also seen inconsistencies between versions. For example, under the tools, especially in the cockpit, the way you create reports is now different. You will also find some configurations within a particular state, like a line chart, which differs from version to version. I think consistency is an essential feature in a product, especially for business intelligence products."

"The only challenge here is that it's a Java-based platform. It requires very high technical skills."

"Since I was working on the very basic, legacy systems, the memory thing was always a challenge. If Teradata is moving to the cloud, the space constraint or the memory issue that my company generally faces will eventually resolve, in time. What I'd like to see in the next release of Teradata is that it becomes full-fledged on the cloud, apart from better connectivity to various systems. For example, if I have to read or include a Python script, if I write some basic codes, I should be able to read even unstructured data. I know that it's not supported even in Snowflake, but at least semi-structured data support, if that can be a little more enhanced, that would be good."

"It would help to make scaling easier with a reduced cost. "

"There are some ways that the handling of unstructured data could be improved."

"Query language and its functionality are rather limited, compared to Oracle or even SQL Server. However, it is possible to perform any kind of logic in it (though some workarounds may be required)."

"Teradata can improve the way it handles big data and unstructured data."

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

"It could use some more advanced analytics relating to structured and semi-structured data."

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

More Teradata cons

Pricing and Cost Advice

"Knowage is open-source, and an enterprise edition is also available."

"It allows the implementation of an effective reporting system using internal skills at a limited upfront cost."

"The solution requires a license."

"The price of the solution could be reduced, it is expensive."

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

"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."

"I rate the product price a nine on a scale of one to ten, where one is cheap and ten is expensive."

"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."

"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."

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

Government

16%

Real Estate/Law Firm

10%

Computer Software Company

10%

Hospitality Company

Financial Services Firm

26%

Computer Software Company

11%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

Microsoft Power BI vs Knowage

Compared 51% of the time

Procurify vs Knowage

Compared 32% of the time

Tableau vs Knowage

Compared 16% of the time

More Knowage Competitors

Oracle Exadata vs Teradata

Compared 13% of the time

SQL Server vs Teradata

Compared 10% of the time

Snowflake vs Teradata

Compared 7% of the time

IBM Db2 Database vs Teradata

Compared 6% of the time

MySQL vs Teradata

Compared 6% of the time

More Teradata Competitors

Product Reports

Buyer's Guide

Knowage

June 2025

Download Knowage product report

Buyer's Guide

Teradata

May 2025

Download Teradata product report

Also Known As

SpagoBI

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

Overview

Knowage (formerly SpagoBI) has a 14-years history. The actual release is the 6.3.

Knowage offers FULL ANALYTICAL CAPABILITIES, with a special focus on big data analytics and comprehensive support to rich and multi-source data analysis. Knowage provides different modules, each one focused on a specific domain but mutually combinable (Big Data, Smart Intelligence, Enterprise Reporting, Location Intelligence, Performance Management, Predictive Analysis). Moreover, Knowage is an OPEN SOURCE solution: the source code is freely accessible, everyone is allowed to join the community and build the own business solution to ensure strategic decision-making and improved productivity.

Knowage suite is supported by Engineering Group, the leading Italian software and services company, with about 10,000 people and more than 50 offices worldwide. Maintenance and support services (such as trainings, migration support, proof-of-concepts, etc) are provided by Engineering Group (KNOWAGE Labs) under subscription.

Knowage

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

FIAT Group, Italian air navigation service provider, Ministry of Education and Science of the Russian Federation, Telecom Italia, ASL Genovese, San Giovanni Battista University Hospital

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Buyer's Guide

Knowage vs. Teradata

June 2025

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