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Infobright DB vs Teradata comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 5, 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

Infobright DB
Ranking in Relational Databases Tools
33rd
Ranking in Data Warehouse
19th
Average Rating
7.6
Reviews Sentiment
6.3
Number of Reviews
10
Ranking in other categories
No ranking in other categories
Teradata
Ranking in Relational Databases Tools
5th
Ranking in Data Warehouse
3rd
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
83
Ranking in other categories
Customer Experience Management (6th), Backup and Recovery (14th), Data Integration (12th), BI (Business Intelligence) Tools (7th), Marketing Management (6th), Cloud Data Warehouse (2nd), Database Management Systems (DBMS) (4th)
 

Mindshare comparison

As of May 2026, in the Data Warehouse category, the mindshare of Infobright DB is 2.3%, up from 0.5% compared to the previous year. The mindshare of Teradata is 8.8%, down from 15.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
Teradata8.8%
Infobright DB2.3%
Other88.9%
Data Warehouse
 

Q&A Highlights

it_user104457 - PeerSpot reviewer
Consultant at a comms service provider with 51-200 employees
Apr 13, 2014
 

Featured Reviews

it_user708987 - PeerSpot reviewer
MySQL DBA at a financial services firm with 51-200 employees
Excellent reporting server that is compatible with MySQL
We ran into some quirks that Infobright had. We interacted with Infobright's support and were able to resolve them. There still are issues with data replication - Infobright is currently for one server (unless you buy the Infobright appliance). This would mean that redundancy is something you need to implement yourself.
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 high compression and the relatively fast load for a free product."
"The performance of ad hoc aggregation queries is superior to any RDBMS that I have used and I have used them all."
"ICE helped us improve the speed for the “group-by” query by 10x."
"It has very amazing smart grid query feature for very fast aggregate queries across millions of rows"
"A valuable feature was the use of a columnar database for large, ever-growing, big datasets."
"It is very straightforward and easy to work with."
"We now have multiple times faster queries in comparison to MS SQL."
"Infobright allowed us to reduce the number of moving parts and complexity that we had while providing good performance to produce our reports."
"As it is a data warehousing solution, many reporting sessions and users can run simultaneously without much performance degradation."
"The functionality of the solution is excellent."
"It's simple to use and scalable."
"Teradata is a 100% stable environment."
"The performance is great, we are able to query our data in one operation."
"Our customers are very happy with the configuration."
"Teradata has immensely helped our organization to fetch the data at a faster rate, which has saved us quite a lot of time."
"Teradata features high productivity and reliability because it has several redundancy options, so the system is always up and running."
 

Cons

"When running a complex subquery, the system hangs without giving the user any response."
"On the contrary, we have switched back to the MS SSAS Tabular Model, because of pricing policy."
"We didn’t purchase the Enterprise Edition because it was too expensive for a product that wasn’t going to replace our main DWH database (Oracle), but was, somehow, only an addition for it."
"Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk."
"MPP, distributed processing!!! And better integration with Hadoop."
"After all the re-work to our product to remove as much reliance on Infobright, and the extra hardware costs we had to absorb, there was definitely a negative return on investment."
"There was no scalability at all. Infobright didn't permit any changes in tables."
"There still are issues with data replication - Infobright is currently for one server (unless you buy the Infobright appliance)."
"The SQL Assistant is very basic. This tool can be improved for usability."
"Stability-wise, we have had some issues with automation and the ability to handle large datasets."
"Apart from Control-M, it would be nice if it could integrate with other tools."
"Teradata could be improved by having a web interface that can really help users to plug and play."
"Teradata is a bit late for the cloud."
"Data synchronization to the DR site."
"Teradata's UI could be more user-friendly."
"The scalability of Teradata is extremely poor, unfortunately."
 

Pricing and Cost Advice

"Our pricing was based on server instances and it was actually very cheap compared to Oracle. I guess you get what you pay for."
"The price of Teradata is on the higher side, and I think that it where they lose out on some of their business."
"Teradata is expensive, so it's typically marketed to big customers. However, there have been some changes, and Teradata is now offering more flexible pricing models and equipment leasing. They've added pay-as-you-go and cloud models, so it's changing, but Teradata is generally known as an expensive high-end product."
"Teradata used to be expensive, but they have been lowering their prices."
"Teradata is a very expensive solution."
"The initial cost may seem high, but the TCO is low."
"We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise."
"Price is quite high, so if it is really possible to use other solutions (e.g. you do not have strict requirements for performance and huge data volumes), it might be better to look at alternatives from the RDBMS world."
"The solution requires a license."
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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…
 

Answers from the Community

it_user104457 - PeerSpot reviewer
Consultant at a comms service provider with 51-200 employees
Apr 13, 2014
Apr 13, 2014
I think hands down it's Exadata since for the front end apps it's just another Oracle database which means everything under the sun is compatible with it.
2 out of 3 answers
it_user89046 - PeerSpot reviewer
Sales at a tech vendor with 1,001-5,000 employees
Apr 10, 2014
Given we partner with many or all of the above, or can get to them as we access all data, I have the following opinion - InfoBright is very new and probable to be sold long term. It is also an expensive subscription so presents highest risk to me. Exidata is Oracle - if you like Oracle and their style, it maybe ok, but then it is Oracle. Microsoft is Microsoft - tends to be cheap to acquire and expensive to implement and maintain. Teradata is pricey but of the group presents the least risk and the greatest number of front end partners. The product I represent is unique as it is designed for high complexity large numbers of users and data and runs inside Teradata taking better advantage of the architecture. Disclosure: I work for Information Builders
it_user3309 - PeerSpot reviewer
Presenter at a consultancy
Apr 10, 2014
You are asking about front end tools but you do not mention which ones. What you have are "database backends" and each has different features. The utilization will depend on what kind of expertise you have available else you will end up trying to implement say, Teradata on Exadata which may not give you the best solution. What are your criteria for success? Based on these you will have to evaluate each solution -- I am sure each vendor will be happy to set up the environment and work with your set of sampl,e data to show you have they evaluate against your criteria.
 

Top Industries

By visitors reading reviews
Manufacturing Company
18%
Comms Service Provider
12%
University
9%
Construction Company
9%
Financial Services Firm
20%
Manufacturing Company
8%
Comms Service Provider
6%
Construction Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise1
Large Enterprise2
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,...
 

Also Known As

Infobright
IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture, Teradata Vantage Enterprise (DIY)
 

Overview

 

Sample Customers

REZ-1, SonicWALL, IntegriChain, Fuseforward International Inc., Polystar, Live Rail, Mavenir Systems, JDSU Partners, Bango
Netflix
Find out what your peers are saying about Infobright DB vs. Teradata and other solutions. Updated: April 2026.
893,221 professionals have used our research since 2012.