Infobright DB vs Teradata comparison

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Infobright DB

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Executive SummaryUpdated on Apr 20, 2025

Teradata and Infobright DB are competing in the data warehouse solutions category for large-scale data management and analytics. Teradata appears to have the upper hand in handling complex queries more efficiently, while Infobright DB stands out in cost-effectiveness and speed for smaller datasets.

Features: Teradata offers robust analytics capabilities with scalability, parallel processing for efficient data handling, and advanced data mining functions. Infobright DB provides excellent simplicity, fast query performance, and a columnar database design for data compression and efficient execution.

Room for Improvement: Teradata could enhance user-friendliness for less technical users and improve cost management for scaling. Infobright DB might benefit from expanding support for very large datasets and enhancing its feature set to handle a broader range of analytical functions. Continuing to refine their integration capabilities could also be advantageous.

Ease of Deployment and Customer Service: Teradata offers comprehensive deployment options with extensive customer support, ensuring integration in complex environments. Infobright DB provides an easy setup, ideal for organizations with limited IT resources, emphasizing simplicity in its deployment process.

Pricing and ROI: Teradata's pricing reflects its broad functionality and scalability, delivering significant ROI for enterprises with extensive data needs. Infobright DB's lower upfront costs are appealing for companies seeking fast, specific analytical solutions with quick ROI, prioritizing cost-efficiency for targeted use cases.

To learn more, read our detailed Infobright DB vs. Teradata Report (Updated: May 2025).

Infobright DB vs. Teradata

May 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

Infobright DB

Ranking in Relational Databases Tools

39th

Ranking in Data Warehouse

25th

Average Rating

7.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Relational Databases Tools

8th

Ranking in Data Warehouse

3rd

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (20th), Data Integration (15th), BI (Business Intelligence) Tools (9th), Marketing Management (6th), Cloud Data Warehouse (4th)

Mindshare comparison

As of July 2025, in the Data Warehouse category, the mindshare of Infobright DB is 0.7%, up from 0.2% compared to the previous year. The mindshare of Teradata is 15.5%, up from 15.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Warehouse

Q&A Highlights

it_user104457

Consultant at a comms service provider with 51-200 employees

Apr 13, 2014

Infobright vs. Exadata vs. Teradata vs. SQL Server Data Warehouse- which is most compatible with front end tools?

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.

Excellent reporting server that is compatible with MySQL

Featured Reviews

it_user708987

MySQL DBA at a financial services firm with 51-200 employees

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.

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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

"It has very amazing smart grid query feature for very fast aggregate queries across millions of rows"

"Designing the database is easy."

"The data processing, clustering, and distributed computing are impressive."

"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."

"A conventional and easily defined way to build a data warehouse or a layer of data marts."

"The product is reliable."

"The ability to handle machine data parallel processing is the most valuable feature of Teradata."

"The performance is great, we are able to query our data in one operation."

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

More Teradata pros

Cons

"Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk."

"The primary challenge with Teradata lies in its cost structure, encompassing subscription fees, software licenses, and hardware expenses."

"I would like more security and speed."

"I think the UI is not there yet. It could be improved by being more user-friendly."

"The SQL Assistant is very basic. This tool can be improved for usability."

"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."

"Teradata is an old data warehouse, and they're not improving in terms of new, innovative features."

"Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly."

"Teradata is an expensive tool. Like, if you're already using Microsoft products like Windows, they'll market all their products together. And with the rise of cloud technologies, companies will adopt solutions that offer them some privileges or facilities. Similar to how SAP does it in the market, so do Microsoft and other companies. Even Oracle and other such tools are quite commonly seen compared to Teradata's competitors in everyday solutions."

More Teradata cons

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

"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 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."

"In this day and age, we want to get things done quickly. So, we go to the AWS Marketplace."

"The cost is significantly high."

"The price of Teradata is expensive. However, what they deliver they are outstanding. If you're looking for an inexpensive solution to run a database, this isn't your tool. It's the Ferrari of databases for data warehousing."

"Teradata is a very expensive solution."

"The price of Teradata is on the higher side, and I think that it where they lose out on some of their business."

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…

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Answers from the Community

it_user104457

Consultant at a comms service provider with 51-200 employees

Apr 13, 2014

Infobright vs. Exadata vs. Teradata vs. SQL Server Data Warehouse- which is most compatible with front end tools?

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

Sales at Information Builders

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

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it_user3309

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.

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See all 3 answers

Top Industries

By visitors reading reviews

No data available

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...

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,...

Oracle Exadata vs Teradata

Comparisons

No data available

Compared 13% of the time

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Compared 9% of the time

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Compared 7% of the time

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Product Reports

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Infobright DB

June 2025

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June 2025

Also Known As

Infobright

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

Overview

Infobright's high performance analytic database is designed for analyzing large volumes of machine-generated data

Ignite Technologies

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.

Sample Customers

REZ-1, SonicWALL, IntegriChain, Fuseforward International Inc., Polystar, Live Rail, Mavenir Systems, JDSU Partners, Bango

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