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Actian Ingres 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

Actian Ingres
Ranking in Relational Databases Tools
27th
Ranking in Data Warehouse
16th
Average Rating
8.6
Reviews Sentiment
7.9
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Teradata
Ranking in Relational Databases Tools
7th
Ranking in Data Warehouse
3rd
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), BI (Business Intelligence) Tools (10th), Marketing Management (6th), Cloud Data Warehouse (6th)
 

Mindshare comparison

As of April 2025, in the Data Warehouse category, the mindshare of Actian Ingres is 0.8%, up from 0.5% compared to the previous year. The mindshare of Teradata is 16.3%, up from 15.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse
 

Featured Reviews

GH
Reliable performance enhances operations with good technical support
We run the entire IRS system, the income system, and the tax system. We also manage the entire Absa banking system in Africa. There's a lot of database applications, similar to those used in banks and the IRS The most valuable features for us are reliability and performance. Our system is used…
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

"The most valuable features for us are reliability and performance."
"The deployment of our solution across a number of servers using Ingres .NET has meant that we can protect the database server behind a highly secure firewall and deploy the front end solutions on a normal web server."
"It has massive parallel processing ability to do large amounts of concurrent querying."
"Teradata's most valuable feature is that it's easy to use."
"Teradata can be easily used in ETL mode transformations, so there is no need for expensive and inconvenient ETL tools"
"It's stable and reliable."
"The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems."
"​Building a data warehouse with Teradata has definitely helped a lot of our downstream applications to more easily access information."
"The performance is great, we are able to query our data in one operation."
"I like this solution's ease of design and the fact that its performance is quite good. It is stable as well."
 

Cons

"The seamless integration is a bit of an issue."
"The ability to reset the log file without stopping the DBMS would be helpful for us."
"Azure Synapse SQL has evolved from a solely dedicated support tool to a data lake. It can store data from multiple systems, not just traditional database management systems. On the other hand, Teradata has limitations in loading flat files or unstructured data directly into its warehouse. In Azure Synapse SQL, we can implement machine learning using Python scripts. Additionally, Azure Synapse SQL offers advanced analytical capabilities compared to Teradata. Teradata is also expensive."
"An additional feature I would you like to see included in the next release, is that it needs to be more cloud-friendly."
"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."
"Needs compatibility with more Big Data platforms."
"Data synchronization to the DR site."
"The solution’s pricing, scalability, and technical support response time could be improved."
"​The initial setup was complex as we had to rewrite a lot of the code.​"
"Query language and its functionality are rather limited, compared to Oracle or even SQL Server. However, it is possible to perform any kind of logic in it (though some workarounds may be required)."
 

Pricing and Cost Advice

Information not available
"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."
"Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."
"The price of the solution could be reduced, it is expensive."
"Teradata's licensing is on the expensive side."
"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."
"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."
"Users have to pay a yearly licensing fee for Teradata IntelliFlex, which is very expensive."
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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
Computer Software Company
16%
Government
10%
University
9%
Insurance Company
9%
Financial Services Firm
26%
Computer Software Company
11%
Manufacturing Company
7%
Healthcare Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What needs improvement with Actian Ingres?
The seamless integration is a bit of an issue. I would like to see more direct connectors and stuff like SQLAlchemy. It's there but isn't available as a standard, so it involves going to GitHub to ...
What is your primary use case for Actian Ingres?
We run the entire IRS system, the income system, and the tax system. We also manage the entire Absa banking system in Africa. There's a lot of database applications, similar to those used in banks ...
What is your experience regarding pricing and costs for Actian Ingres?
Initially, it's a lot less expensive than competitors. Price performance has always been a priority, ensuring we remain competitive in the market.
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

Ingres, Ingres 2006
IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture
 

Overview

 

Sample Customers

Groupe Adeo, IsCool Entertainment
Netflix
Find out what your peers are saying about Actian Ingres vs. Teradata and other solutions. Updated: April 2025.
848,716 professionals have used our research since 2012.