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Knowage vs Teradata comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 4, 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

Knowage
Ranking in BI (Business Intelligence) Tools
33rd
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
18
Ranking in other categories
Reporting (22nd)
Teradata
Ranking in BI (Business Intelligence) Tools
9th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
83
Ranking in other categories
Customer Experience Management (6th), Backup and Recovery (17th), Data Integration (14th), Relational Databases Tools (6th), Data Warehouse (3rd), Marketing Management (5th), Cloud Data Warehouse (3rd), Database Management Systems (DBMS) (6th)
 

Mindshare comparison

As of February 2026, in the BI (Business Intelligence) Tools category, the mindshare of Knowage is 0.8%, up from 0.5% compared to the previous year. The mindshare of Teradata is 1.0%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
BI (Business Intelligence) Tools Market Share Distribution
ProductMarket Share (%)
Teradata1.0%
Knowage0.8%
Other98.2%
BI (Business Intelligence) Tools
 

Featured Reviews

BS
Software Engineer at syntegra
Open-source with great embedding capabilities but the dashboards could be better
I know the initial setup is pretty straightforward. It doesn't take a long time to deploy. Even on your own personal computer, when you want to try it out, it doesn't take too long to get it running. For the initial setup, I'd say it's maybe a four out of five in terms of how easy it is. You need to add these Java dependencies and so forth, which can be a bit boring, however, it's almost perfect. To deploy Knowage usually takes about a day. In terms of the implementation strategy, it's just following the instructions that they give us on the installation and then just knowing how to handle the process. Usually, there is a group of engineers who do that for us and manage the server itself. If a team is knowledgeable, then it doesn't take a long time. When you need a new instance, it's very quick. The implementation strategy is based on just following instructions on the installation process from Knowage. For deployment and maintenance, we need just maybe two people simply to monitor the traffic coming in. However, it's maintained by people who were doing other jobs like maintaining our other server. They just monitor the Knowage server and make sure that it's up and running and that there are no bugs. There are not too many bugs coming out from the debugger.
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

"The embedding feature is great."
"We can easily do our own customizations."
"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."
"The performance is great, we are able to query our data in one operation."
"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."
"A conventional and easily defined way to build a data warehouse or a layer of data marts."
"Things have started moving faster in my company, such as data retrieval happens more quickly.​"
"The product is reliable."
"​Building a data warehouse with Teradata has definitely helped a lot of our downstream applications to more easily access information."
"Teradata has good performance, the response times are very fast. Overall the solution is easy to use. When we do the transformation, we have all of our staging and aggregation data available."
"It effectively has allowed us to remove over 20 portion copies of the data sets on other DB platforms for real-time operational reporting purposes."
 

Cons

"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."
"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."
"Teradata should focus on functionality for building predictive models because, in that regard, it can definitely improve."
"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."
"From my perspective, it would be good if they gave better ITIN/R plugins to use the data for AI modeling, or data science modeling. We can do it now; however, it could be more elegant in terms of interfacing."
"If I want to implement an upgrade, I'd like to see how it will be different. Ideally, Data Lab should help me test production items and also do future things. Future releases should be downloadable and testable in Data Lab."
"The user interface needs to be improved."
"​Their level of technical support is adequate. It could be better.​"
"There is some improvement required on OLTP level and some analytical function is missing."
"I would like more security and speed."
 

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."
"​When looking into implementing this product, pricing is the main issue followed by technical expertise​."
"The tool costs about 30,000 euros a month, while Azure Synapse SQL only costs 10,000."
"The initial cost may seem high, but the TCO is low."
"It's a very expensive product."
"The cost is substantial, totaling around $1.2 million, solely dedicated to upgrading the hardware."
"Teradata pricing is fine, and it's competitive with all the legacy models. On a scale of one to five, with one being the worst and five being the best, I'm giving Teradata a three, because it can be a little expensive, when compared to other solutions."
"In this day and age, we want to get things done quickly. So, we go to the AWS Marketplace."
"Teradata is a very expensive solution."
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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
Marketing Services Firm
13%
University
9%
Insurance Company
9%
Hospitality Company
9%
Financial Services Firm
23%
Manufacturing Company
8%
Computer Software Company
7%
Government
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise6
Large Enterprise6
By reviewers
Company SizeCount
Small Business28
Midsize Enterprise13
Large Enterprise52
 

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,...
 

Comparisons

 

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

 

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
Netflix
Find out what your peers are saying about Knowage vs. Teradata and other solutions. Updated: February 2026.
881,707 professionals have used our research since 2012.