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Knowage vs Teradata comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Sep 30, 2025

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
32nd
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 (15th), Relational Databases Tools (7th), Data Warehouse (3rd), Marketing Management (5th), Cloud Data Warehouse (3rd), Database Management Systems (DBMS) (4th)
 

Mindshare comparison

As of December 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 0.9%, 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
ProductMarket Share (%)
Teradata0.9%
Knowage0.7%
Other98.4%
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."
"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."
"We can easily do our own customizations."
"Teradata solutions help organizations reduce IT, operations, and maintenance costs; enhance on-time delivery of products and services."
"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."
"Teradata can be deployed on-premise, on the cloud, or in a virtual machine, which means customers can move without having to create their architecture all over again."
"It is quick, secure, and has less hassles because we don't have to involve our networking team, infrastructure, etc. It is very easy to deploy and make market ready."
"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."
"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."
"​Parallel processing features have helped to easily dump any size of data and retrieve data with great performance."
"The cloud is ten times better than physical hardware; it is more cost-effective and the upgrade process is ten times easier."
 

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."
"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."
"It's primarily designed for big projects and therefore, the pricing is pretty high. It's not suitable for smaller companies."
"GUI of administrative tools is really outdated."
"The solution is stable. However, there are times when we are using large amounts of data and we can see some latency issues."
"The capability to implement it with comparable performance across various private cloud environments, ensuring adaptability to different infrastructure setups would be beneficial."
"Apart from Control-M, it would be nice if it could integrate with other tools."
"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."
"The limitation we encountered was related to speed, prompting us to increase our AWS cloud thresholds and benchmarks on the servers, adding more throughput."
 

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."
"It comes at a notably high cost for what it offers."
"Teradata is currently making improvements in this area."
"It's a very expensive product."
"In this day and age, we want to get things done quickly. So, we go to the AWS Marketplace."
"The product cost is high for what the client gets. There may be more cost-effective solutions for small and medium-sized organizations."
"The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space."
"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."
"​I would advise others to look into migration and setup as a fixed price and incorporate a SaaS option for other Teradata services​."
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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
Hospitality Company
11%
Government
9%
University
9%
Insurance Company
9%
Financial Services Firm
23%
Manufacturing Company
8%
Computer Software Company
7%
Healthcare Company
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: December 2025.
879,259 professionals have used our research since 2012.