Infobright DB vs Teradata comparison

Read 83 Teradata reviews

17,947 Views
4,487 Comparison Views

88% willing to recommend

Infobright DB

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Apr 5, 2026

Teradata and Infobright DB are leading analytics solutions in their field. Teradata has a competitive edge with its scalability and integration capabilities, ideal for larger enterprises.

Features: Teradata offers robust analytics, extensive integration options, and powerful data management tools, catering to complex enterprise needs. Infobright DB is known for its simplicity in use and administration, along with cost-effective data storage and retrieval solutions. Teradata provides a richer set of features, whereas Infobright DB's simplicity is appealing to small businesses.

Room for Improvement: Teradata could improve with simpler deployment processes, reduced costs, and a more user-friendly interface. Infobright DB may enhance its scalability, offer more advanced features, and improve customer support to match enterprise-level needs.

Ease of Deployment and Customer Service: Teradata's deployment is comprehensive but complex, supported by strong customer service for smoother implementation. Infobright DB offers faster and easier deployment due to its simpler architecture but lacks the depth of customer service provided by Teradata.

Pricing and ROI: Teradata requires a higher initial investment focusing on long-term ROI through its broad capabilities. Infobright DB attracts with lower setup costs, benefiting budget-conscious businesses. While Teradata offers significant ROI for large investments, Infobright DB provides value with its cost efficiency and ease of accessibility.

To learn more, read our detailed Infobright DB vs. Teradata Report (Updated: June 2026).

Infobright DB vs. Teradata

June 2026

Download the complete report

Helped 900,644 peers since 2012

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

34th

Ranking in Data Warehouse

18th

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

5th

Ranking in Data Warehouse

3rd

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (5th), Backup and Recovery (15th), Data Integration (14th), BI (Business Intelligence) Tools (7th), Marketing Management (4th), Cloud Data Warehouse (2nd), Database Management Systems (DBMS) (4th)

Mindshare comparison

As of June 2026, in the Data Warehouse category, the mindshare of Infobright DB is 2.4%, up from 0.5% compared to the previous year. The mindshare of Teradata is 8.7%, down from 15.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Warehouse Mindshare Distribution
Product	Mindshare (%)
Teradata	8.7%
Infobright DB	2.4%
Other	88.9%

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.

Read full review

David Durand Velásquez

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.

Read full review

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."

"We now have multiple times faster queries in comparison to MS SQL."

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

"It is very straightforward and easy to work with."

"A valuable feature was the use of a columnar database for large, ever-growing, big datasets."

"Infobright gave us the ability to avoid significant changes in our data structure and just use Infobright like BigDataMySql."

"ICE helped us improve the speed for the “group-by” query by 10x."

More Infobright DB pros

"The best features Teradata offers, in my experience, include fast performance during multi-parallel processing, very good scalability, support for linear scalability, and its suitability for handling large volumes of data; additionally, it facilitates data integration, where we integrate and analyze data from various sources, making it a powerful and high-quality reliable solution for the company."

"IntelliFlex is easy to scale - one of its best features is that you can upscale it to the size you want."

"Teradata has immensely helped our organization to fetch the data at a faster rate, which has saved us quite a lot of time."

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

"Teradata's scalability is one of its best features."

"What really impressed me is their approach to design the data warehouse."

"The solution is the Rolls-Royce of data warehousing."

"Improved performance of ETL procedures, reporting."

More Teradata pros

Cons

"MPP, distributed processing!!! And better integration with Hadoop."

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

"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."

"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."

"When running a complex subquery, the system hangs without giving the user any response."

"There still are issues with data replication - Infobright is currently for one server (unless you buy the Infobright appliance)."

"On the contrary, we have switched back to the MS SSAS Tabular Model, because of pricing policy."

"The feedback I get from customers is the cost is high for what they get."

"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."

"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."

"We tried to use case Teradata for a data warehouse system, but we had some problems in relation to the Teradata system, CDC tools, and source databases. We were unable to transfer data from HPE Integrity mainframe to Teradata."

"The scalability could be better. The on-premises solution is always more complicated to scale."

"GUI of administrative tools is really outdated."

"The current operational approach needs improvement."

"There are some ways that the handling of unstructured data could be improved."

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."

"I would advise others to look into migration and setup as a fixed price and incorporate a SaaS option for other Teradata services."

"Teradata is not cheap, but you get what you pay for."

"Teradata is a very expensive solution."

"The price of Teradata could be less expensive."

"The cost of running Teradata is quite high, but you get a good return on investment."

"I rate the product price a nine on a scale of one to ten, where one is cheap and ten is expensive."

"Teradata's licensing is on the expensive side."

"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

See which vendors are best for you

Use our free recommendation engine to learn which Data Warehouse solutions are best for your needs.

See recommendations

900,644 professionals have used our research since 2012.

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

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 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

Read full answer

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.

Read full answer

See all 3 answers

Top Industries

By visitors reading reviews

Manufacturing Company

19%

Construction Company

12%

Comms Service Provider

11%

Outsourcing Company

10%

Financial Services Firm

20%

Manufacturing Company

Construction Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	1
Large Enterprise	2

By reviewers
Company Size	Count
Small Business	28
Midsize Enterprise	13
Large Enterprise	53

Questions from the Community

Ask a question

Earn 20 points

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,...

VMware Tanzu Data Solutions vs Infobright DB

Comparisons

Compared 10% of the time

MySQL vs Infobright DB

Compared 8% of the time

OpenText Analytics Database (Vertica) vs Infobright DB

Compared 7% of the time

Amazon RDS on Outposts vs Infobright DB

Compared 5% of the time

SAP BW4HANA vs Infobright DB

Compared 5% of the time

More Infobright DB Competitors

Snowflake vs Teradata

Compared 4% of the time

Oracle Database vs Teradata

Compared 4% of the time

SQL Server vs Teradata

Compared 3% of the time

MySQL vs Teradata

Compared 3% of the time

Oracle Exadata vs Teradata

Compared 2% of the time

More Teradata Competitors

Product Reports

Download Infobright DB product report

Infobright DB

June 2026

Download Teradata product report

May 2026

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

Infobright DB is an established column-oriented database management system known for its analytical prowess in storing and managing large volumes of data efficiently.

Designed to handle intense data workloads, Infobright DB supports data warehousing and business intelligence operations. It is favored for its efficient use of storage and processing capabilities, making it an ideal choice for companies analyzing massive datasets. Infobright DB's analytic algorithms and data compression techniques make it suitable for enterprises seeking to process queries rapidly.

What are the essential features of Infobright DB?

Columnar Storage: Optimizes read performance by storing data in columns.
Data Compression: Reduces storage needs with advanced compression techniques.
Query Performance: Enhances speed through automatic query optimization.
Scalability: Handles terabytes of data without compromising performance.
Self-Management: Minimizes administrative tasks with automated maintenance.

What benefits should users consider when evaluating Infobright DB?

Cost Efficiency: Lower storage costs due to high data compression.
Improved Analytics: Faster data insights lead to better decision-making.
Resource Optimization: Requires fewer resources for maintenance and scaling.
Operational Simplicity: Ease of integration with existing systems.

Infobright DB is prevalent in industries like finance and telecommunications, providing robust data analysis and reporting capabilities. Its ability to manage large datasets efficiently makes it suitable for sectors needing real-time analytics and deep data insights.

IgniteTech

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.

Sample Customers

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

Netflix