Knowage vs Teradata comparison

Knowage and Teradata are both solutions in the BI (Business Intelligence) Tools category. Knowage is ranked #33, while Teradata is ranked #13 with an average rating of 7.3. Knowage holds a 0.7% mindshare in BIT, compared to Teradata’s 0.7% 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

771 Views
586 Comparison Views

85% willing to recommend

Teradata

Read 77 Teradata reviews

10,160 Views
711 Comparison Views

87% willing to recommend

Knowage

Teradata

Comparison Buyer's Guide

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Executive SummaryUpdated on Sep 30, 2025

Knowage and Teradata are competing products in the data analytics and business intelligence space. Knowage offers stronger pricing and support, while Teradata stands out with superior functionalities, making it more attractive for those seeking advanced features.

Features: Knowage provides robust integration capabilities with diverse data sources, exceptional flexibility in reporting, and an open-source model for extensive customization. Teradata, known for advanced analytics capabilities and scalability, suits large enterprises with complex analytics needs. The distinction stems from Knowage's open-source accessibility and Teradata's analytical strength.

Room for Improvement: Knowage could enhance its scalability to match larger enterprise needs, improve its user interface for broader appeal, and expand its analytical functionalities. Teradata might focus on simplifying its deployment process to attract smaller businesses, reduce costs for budget-conscious organizations, and bolster its open-source community support for wider adoption.

Ease of Deployment and Customer Service: Knowage's open-source framework supports an uncomplicated deployment process with efficient customer support for integration assistance. Teradata offers a more complex deployment suitable for resource-equipped organizations, with adept customer service for extensive analytics solutions.

Pricing and ROI: Knowage's low initial costs, due to its open-source nature, provide appealing ROI for cost-sensitive enterprises. Small to medium businesses find its pricing structure favorable. Teradata, with comprehensive features and advanced analytics, demands a higher investment, delivering significant ROI for large-scale organizations needing extensive data analysis.

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

Buyer's Guide

Knowage vs. Teradata

September 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

33rd

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Reporting (25th)

Teradata

Ranking in BI (Business Intelligence) Tools

13th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (21st), Data Integration (17th), Relational Databases Tools (8th), Data Warehouse (3rd), Marketing Management (5th), Cloud Data Warehouse (4th)

Mindshare comparison

As of October 2025, in the BI (Business Intelligence) Tools category, the mindshare of Knowage is 0.7%, up from 0.5% compared to the previous year. The mindshare of Teradata is 0.7%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools Market Share Distribution
Product	Market Share (%)
Teradata	0.7%
Knowage	0.7%
Other	98.6%

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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Kirk Robinson

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

Has improved data quality, optimized reporting processes, and enabled predictive insights across business units

The limitation we encountered was related to speed, prompting us to increase our AWS cloud thresholds and benchmarks on the servers, adding more throughput. We have been testing that, but speed remains one of our key issues. The integration has been awesome because of the platforms and their usage, and usability is great. The most challenging aspect is finding Teradata resources, so we are focusing on internal training and looking for more Teradata experts. If Teradata could provide a list of certified experts, that would be fantastic. I rated Teradata a nine because the main area for improvement is the bandwidth of resources that could assist us in applying to our projects, specifically more certified and expert resources. The market share of Teradata professionals is limited, creating an issue for us.

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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."

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

"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."

"I like this solution's ease of design and the fact that its performance is quite good. It is stable as well."

"The most valuable feature is the ease of running queries."

"The most valuable feature of Teradata is the quick processing of large data."

"Teradata's most valuable feature is that it's easy to use."

"It is a stable program."

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

"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."

"It's the same as your visual database. I like the fast load feature for data, the BTQ solution is very good, and storage procedures are very fast."

More Teradata pros

Cons

"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."

"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."

"Teradata could improve by being less complicated. There are some aspects that are not available on the Unix server and a Unix system is required to access some data, such as in case of an emergency."

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

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

"I've been using the same UI for 20 years in Teradata. It could use some updating. Adding more stability around Teradata Studio would be outstanding. Teradata Studio is a Java-based version of their tool. It's much better now, but it still has some room for improvement."

"They should add more connectors to different platforms."

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

"Teradata's UI could be more user-friendly."

"Apart from Control-M, it would be nice if it could integrate with other tools."

More Teradata cons

Pricing and Cost Advice

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

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

"The cost is significantly high."

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

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

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

"Teradata is currently making improvements in this area."

"The solution requires a license."

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

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

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

Hospitality Company

13%

Government

11%

Insurance Company

Retailer

Financial Services Firm

25%

Computer Software Company

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	6
Large Enterprise	6

By reviewers
Company Size	Count
Small Business	26
Midsize Enterprise	12
Large Enterprise	49

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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Compared 7% of the time

OpenText Analytics Database (Vertica) vs Teradata

Compared 6% of the time

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Product Reports

Buyer's Guide

Knowage

September 2025

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Buyer's Guide

Teradata

September 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, Teradata Vantage Enterprise (DIY)

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 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.

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

September 2025

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