Try our new research platform with insights from 80,000+ expert users

IBM Informix vs Teradata comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 20, 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

IBM Informix
Ranking in Relational Databases Tools
18th
Average Rating
8.6
Reviews Sentiment
7.7
Number of Reviews
16
Ranking in other categories
Embedded Database (9th)
Teradata
Ranking in Relational Databases Tools
8th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
76
Ranking in other categories
Customer Experience Management (6th), Backup and Recovery (20th), Data Integration (17th), Data Warehouse (3rd), BI (Business Intelligence) Tools (10th), Marketing Management (6th), Cloud Data Warehouse (6th)
 

Mindshare comparison

As of May 2025, in the Relational Databases Tools category, the mindshare of IBM Informix is 1.8%, up from 1.6% compared to the previous year. The mindshare of Teradata is 5.3%, up from 5.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Relational Databases Tools
 

Featured Reviews

Nazzareno Maria Rezzini - PeerSpot reviewer
Supports multiple business intelligence tools, but the technical support services need improvement
IBM Informix is a central database solution across various environments, supporting multiple applications and business intelligence tools The key areas for improvement revolve around understanding the current customer trends and demands, particularly in software and database requirements. The…
SurjitChoudhury - PeerSpot reviewer
Offers seamless integration capabilities and performance optimization features, including extensive indexing and advanced tuning capabilities
We created and constructed the warehouse. We used multiple loading processes like MultiLoad, FastLoad, and Teradata Pump. But those are loading processes, and Teradata is a powerful tool because if we consider older technologies, its architecture with nodes, virtual processes, and nodes is a unique concept. Later, other technologies like Informatica also adopted the concept of nodes from Informatica PowerCenter version 7.x. Previously, it was a client-server architecture, but later, it changed to the nodes concept. Like, we can have the database available 24/7, 365 days. If one node fails, other nodes can take care of it. Informatica adopted all those concepts when it changed its architecture. Even Oracle databases have since adapted their architecture to them. However, this particular Teradata company initially started with its own different type of architecture, which major companies later adopted. It has grown now, but initially, whatever query we sent it would be mapped into a particular component. After that, it goes to the virtual processor and down to the disk, where the actual physical data is loaded. So, in between, there's a map, which acts like a data dictionary. It also holds information about each piece of data, where it's loaded, and on which particular virtual processor or node the data resides. Because Teradata comes with a four-node architecture, or however many nodes we choose, the cost is determined by that initially. So, what type of data does each and every node hold? It's a shared-no architecture. So, whatever task is given to a virtual processor it will be processed. If there's a failure, then it will be taken care of by another virtual processor. Moreover, this solution has impacted the query time and data performance. In Teradata, there's a lot of joining, partitioning, and indexing of records. There are primary and secondary indexes, hash indexing, and other indexing processes. To improve query performance, we first analyze the query and tune it. If a join needs a secondary index, which plays a major role in filtering records, we might reconstruct that particular table with the secondary index. This tuning involves partitioning and indexing. We use these tools and technologies to fine-tune performance. When it comes to integration, tools like Informatica seamlessly connect with Teradata. We ensure the Teradata database is configured correctly in Informatica, including the proper hostname and properties for the load process. We didn't find any major complexity or issues with integration. But, these technologies are quite old now. With newer big data technologies, we've worked with a four-layer architecture, pulling data from Hadoop Lake to Teradata. We configure Teradata with the appropriate hostname and credentials, and use BTEQ queries to load data. Previously, we converted the data warehouse to a CLD model as per Teradata's standardized procedures, moving from an ETL to an EMT process. This allowed us to perform gap analysis on missing entities based on the model and retrieve them from the source system again. We found Teradata integration straightforward and compatible with other tools.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"IBM Informix benefits users with high availability and good integration capabilities."
"So far, we do not have a lot of issues. It's pretty problem-free."
"For IoT business cases, having Informix Enterprise Edition work on edge computers, like Raspberry Pi and using Informix replication, makes complex situations simple to build and maintain."
"It supports in-house-built applications in .NET and VB6"
"The most valuable feature is concurrency and locking because my customers usually use databases in OLTP mode. So, for a large number of competitive users. Other features that are well valued are quick large-scale data types. It is better than Oracle."
"The scalability is very good."
"Replication is a valuable feature and easy to use."
"It supports multiple applications and business intelligence tools."
"We did performance testing. We had a set of real life MicroStrategy reports. Our conditions were: Not allowed to redesign data model, not allowed to rewrite the queries, all queries should be generated by MicroStrategy, no aggregates. Teradata appeared to be way faster than a similarly configured (in terms of hardware) Oracle server."
"It's very, very fast"
"It's very mature from a technology perspective."
"The key advantages are Performance when processing Terabytes of data and scalability."
"I found all parts --loading, transformation, processing & querying work in parallel, and end-to-end-- to be valuable."
"It's stable and reliable."
"Auto-partitioning and indexing, and resource allocation on the fly are key features."
"The ability to handle machine data parallel processing is the most valuable feature of Teradata."
 

Cons

"I experienced poor input/output (IO) performance."
"The support team could include local engineers to establish efficient communication. It will help us speed up the escalation process."
"This product could be made easier to use for beginners."
"This solution is in need of more current tools."
"I would like to see backups from secondary servers."
"It would be helpful to have IBM salespeople know that Informix exists, and sell it. Currently, it is completely ignored by IBM."
"In my opinion, the packages could be improved. The version I use doesn't allow for packages. I can do some general procedures, but no packages like in Oracle. So, develop separate modules in SQL language. This would be most beneficial for me."
"The technical support services need substantial improvement."
"It is hard for some of our users to set up rules for cleansing and transforming data, so this is something that could be improved."
"The tool's flexibility and capacity for expansion are areas of concern where improvements are required."
"Stability-wise, we have had some issues with automation and the ability to handle large datasets."
"It could be a bit more user-friendly."
"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."
"The cloud is the new challenge and the new opportunity."
"Limited interest and success in some areas make us hesitate about upgrading."
"Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly."
 

Pricing and Cost Advice

"For me, it's always too expensive."
"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."
"I am not aware of the licensing costs or terms."
"I rate the product price a nine on a scale of one to ten, where one is cheap and ten is expensive."
"We had a lot of parties involved when purchasing from the AWS Marketplace. They are very flexible and aggressive in trying to close the deal. They are good at what they have to offer and listening to the customer. It's a two-way street."
"The cost is significantly high."
"The solution requires a license."
"We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise."
"The tool costs about 30,000 euros a month, while Azure Synapse SQL only costs 10,000."
"​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."
report
Use our free recommendation engine to learn which Relational Databases Tools solutions are best for your needs.
851,604 professionals have used our research since 2012.
 

Comparison Review

it_user232068 - PeerSpot reviewer
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
Educational Organization
58%
Financial Services Firm
6%
Computer Software Company
6%
Retailer
4%
Financial Services Firm
26%
Computer Software Company
11%
Healthcare Company
7%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about IBM Informix?
It supports multiple applications and business intelligence tools.
What is your experience regarding pricing and costs for IBM Informix?
The product has reasonable pricing. We purchase its yearly license.
What needs improvement with IBM Informix?
The key areas for improvement revolve around understanding the current customer trends and demands, particularly in software and database requirements. The product's performance could be better com...
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
 

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
Netflix
Find out what your peers are saying about IBM Informix vs. Teradata and other solutions. Updated: April 2025.
851,604 professionals have used our research since 2012.