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IBM Informix 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

IBM Informix
Ranking in Relational Databases Tools
25th
Average Rating
8.2
Reviews Sentiment
7.5
Number of Reviews
17
Ranking in other categories
Embedded Database (9th)
Teradata
Ranking in Relational Databases Tools
5th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
83
Ranking in other categories
Customer Experience Management (5th), Backup and Recovery (15th), Data Integration (14th), Data Warehouse (3rd), 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 Relational Databases Tools category, the mindshare of IBM Informix is 1.8%, up from 1.8% compared to the previous year. The mindshare of Teradata is 4.0%, down from 5.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Relational Databases Tools Mindshare Distribution
ProductMindshare (%)
Teradata4.0%
IBM Informix1.8%
Other94.2%
Relational Databases Tools
 

Featured Reviews

Nasir Niamat - PeerSpot reviewer
DB Consultant at i2c
Has offered a cost-effective option despite frequent technical issues and limited market demand
We find some bugs in IBM Informix. Maybe we are using it more aggressively than others. Every month or every second month, we find some bugs in it, which is not ideal. It should be rare, not this frequent. The good thing is they cover those bugs in the next release within weeks or days on demand. IBM Informix should become hybrid and should include AI features similar to other DBMS systems such as Snowflake, Redshift, and DataBricks. This would help its value rise with the market.
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

"Every version is faster than the previous."
"The initial setup is pretty easy."
"The solution is quite stable and reliable; we use it mainly due to its general stable nature."
"Replication is a valuable feature and easy to use."
"The solution's stability, performance, enhanced functionality, and replication are all great features."
"Replication, all levels of replication, query charting, and the MongoDB embedded are the most valuable features of this solution."
"It supports in-house-built applications in .NET and VB6"
"So far, we do not have a lot of issues. It's pretty problem-free."
"The most valuable feature is the ease of uploading data from multiple sources."
"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."
"BTEQ is the best feature of Teradata, as it allows me to execute multiple queries such as select, insert, update, and delete in a single script, handle errors, automate running multiple SQL statements, and schedule ETL jobs, making it lightweight and scriptable, unlike SQL Assistant."
"The two types of partitioning have been very significant for us - row and columnar partitioning."
"Designing the database is easy."
"Teradata has positively impacted our organization by allowing our team to reduce from 27 people down to eight, consolidating our headcount, and helping the enterprise achieve a higher rate of internal return on financials."
"It is the core of our fundamental real-time reporting and operational planning and has saved us over eight figures in the operational run costs, improved data quality and consistency as well as reduced our overall infrastructure support requirements."
"We moved from an Enterprise platform, to non-Enterprise and ended up with a machine that was 20X more powerful."
 

Cons

"Informix is very sturdy, but the problem for us is the marketing action around Informix."
"The technical support services need substantial improvement."
"The support team could include local engineers to establish efficient communication. It will help us speed up the escalation process."
"The product needs a lot more marketing involvement from IBM."
"There should be more intelligence surrounding discovering data to be able to automatically create indexes."
"Every month or every second month, we find some bugs in it, which is not ideal."
"For me, it's always too expensive. The problem is that Informix sometimes competes with free products, so yes, it's very expensive, but when we're talking about licensed products like SQL Server or anything, the midsize pricing could be significantly improved."
"Continue extending the SQL language for compatibility with the competition's language, including Stored Procedure Language."
"Teradata is a bit late for the cloud."
"The following could be better: licensing, architecture openness, integration with other tools."
"It should be compatible and free on CLOUD/ AWS. Currently many DB's on AWS are free, Teradata is also on Amazon Web Services, but its charged and no documentation available to practice those LABS."
"Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly."
"The current operational approach needs improvement."
"The Query Response time needs improving."
"I truly believe that in five years, we will breach the effective limits of Teradata to perform in a multi-petabyte environment, i.e., without significant changes to its underlying architecture."
"One challenge I have faced regarding the main use case is the integration with AI, as Teradata does not have the AI models that other OLAP systems such as BigQuery provide, making it difficult for us to give proper recommendations without using different tools for AI integration."
 

Pricing and Cost Advice

"For me, it's always too expensive."
"I am not aware of the licensing costs or terms."
"The product has reasonable pricing. We purchase its yearly license."
"The free edition can be enough to handle moderate-size implementations, but you may want a pay for edition to benefit from more functionality, such as replication."
"Teradata is a very expensive solution."
"It is still a very expensive solution. While I very much like the pure technological supremacy of the software itself, I believe Teradata as a company needs to become more affordable. They are already losing the market to more flexible or cheaper competitors."
"The product cost is high for what the client gets. There may be more cost-effective solutions for small and medium-sized organizations."
"Teradata used to be expensive, but they have been lowering their prices."
"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 is expensive but gives value for money, especially if you don't want to move your data to the cloud."
"I rate the product price a nine on a scale of one to ten, where one is cheap and ten is expensive."
"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."
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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
Construction Company
11%
Financial Services Firm
9%
Comms Service Provider
9%
University
7%
Financial Services Firm
20%
Manufacturing Company
9%
Construction Company
7%
Comms Service Provider
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise2
Large Enterprise8
By reviewers
Company SizeCount
Small Business28
Midsize Enterprise13
Large Enterprise53
 

Questions from the Community

What is your experience regarding pricing and costs for IBM Informix?
There is a cost reason to move from IBM Informix. It is relatively cheaper than Oracle. The second reason is that moving the whole application to a new database would require significant cost. The ...
What needs improvement with IBM Informix?
We find some bugs in IBM Informix. Maybe we are using it more aggressively than others. Every month or every second month, we find some bugs in it, which is not ideal. It should be rare, not this f...
What is your primary use case for IBM Informix?
We are using IBM Informix for OLTP systems. We are using IBM Informix although it is a technology that is not very popular compared to others. We are using it because our application was initially ...
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

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

Overview

 

Sample Customers

Shaspa, Hildebrand, Kaifa, Ranhill Powertron, Federaci‹ Farmacutica (FedeFarma), Camden Council, The German Aerospace Center (DLR), Myers, Votorantim Group, Doosan Infracore, GreenIvory
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Find out what your peers are saying about IBM Informix vs. Teradata and other solutions. Updated: June 2026.
900,747 professionals have used our research since 2012.