Ab Initio Co&gt;Operating System vs Teradata comparison

Ab Initio Co>Operating System

Read 83 Teradata reviews

11,391 Views
1,367 Comparison Views

88% willing to recommend

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jan 4, 2026

Teradata and Ab Initio Co>Operating System are competing in the data management and processing space. Teradata stands out with its scalability and analytics due to its robust data warehousing, while Ab Initio excels in data integration, making it a top choice for handling complex data processing.

Features: Teradata offers large-scale data warehousing, advanced analytics, and real-time data access support. Ab Initio specializes in data integration with parallel processing, automation ease, and comprehensive metadata management.

Room for Improvement: Teradata could enhance its adaptability for varied enterprise environments, reduce initial costs, and simplify its analytics offerings. Ab Initio might work on minimizing deployment complexity, broadening its tool integration, and improving user training resources.

Ease of Deployment and Customer Service: Teradata provides an easy deployment model with extensive customer support. Ab Initio, while more complex initially, allows for a customizable solution, supported by responsive customer service during the deployment phase.

Pricing and ROI: Teradata is premium-priced due to its analytics capabilities, but offers justified ROI through efficient large data volume management. Ab Initio, although having higher initial setup costs, is generally cost-effective long-term for complex data environments, providing substantial ROI.

To learn more, read our detailed Ab Initio Co>Operating System vs. Teradata Report (Updated: February 2026).

Ab Initio Co>Operating System vs. Teradata

February 2026

Download the complete report

Helped 881,707 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

Ab Initio Co>Operating System

Ranking in Data Integration

27th

Average Rating

8.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Workload Automation (18th)

Teradata

Ranking in Data Integration

14th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (17th), Relational Databases Tools (6th), Data Warehouse (3rd), BI (Business Intelligence) Tools (9th), Marketing Management (5th), Cloud Data Warehouse (3rd), Database Management Systems (DBMS) (6th)

Mindshare comparison

As of February 2026, in the Data Integration category, the mindshare of Ab Initio Co>Operating System is 1.2%, down from 1.3% compared to the previous year. The mindshare of Teradata is 0.9%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Teradata	0.9%
Ab Initio Co>Operating System	1.2%
Other	97.9%

Data Integration

Featured Reviews

AlejandroMosso

Senior Solutions Architect at IDS Comercial

Enables creation of sophisticated applications with powerful parallelism and quick, effective support

The most valuable features of Ab Initio Co>Operating System are its performance and the ability to implement parallelism. There are three kinds of parallelism in Ab Initio Co>Operating System, which allow us to create very sophisticated solutions for almost any kind of application. This parallelism is one of the strongest features. Additionally, its scalability offers a unique way to escalate applications that differs from other technologies. In terms of data processing, the emphasis is on understanding the data. Data profiling is fundamental, and Ab Initio Co>Operating System integrates tools to perform this within the GDE, as well as specialized products for this purpose. Data profiling graphs can be implemented when necessary to understand the data sources.

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

"Co>Operating System's most valuable feature is its ability to process bulk data effectively."

"Ab Initio reaches the highest performance and is very flexible in processing huge amounts of data."

"Ab Initio Co>Operating System support is the best I have encountered."

"Ab Initio Co>Operating System excels at providing data lineage regardless of the type of data I have."

"The graphical interface of Ab Initio Co>Operating System is very easy to understand and allows me to visualize the data flow effectively."

"I've never had any issues with scalability."

"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."

"Cuts time to process huge amounts of data with efficient analytical queries."

"Their extensive experience in data warehousing, the platform's performance, and their strong reputation in the market are the most valuable."

"It has a solid set of tools and consulting services."

"The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems."

"It handles large amounts of information with a linear performance increase, in relation to a HW investment."

"The solution scales well on the cloud."

More Teradata pros

Cons

"Ab Initio Co>Operating System is a very expensive product."

"While Ab Initio Co>Operating System has positive attributes, I find that certain features can sometimes be difficult to understand."

"Co>Operating System would be improved with more integrations for less well-known technologies."

"An awesome improvement would be big data solutions, for example, implementing some kind of business intelligence or neural networks for artificial intelligence."

"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."

"It could use some more advanced analytics relating to structured and semi-structured data."

"The only issue our company has with Teradata IntelliFlex is that it is not cost-effective because of the way the product has been designed."

"It could be a bit more user-friendly."

"The following could be better: licensing, architecture openness, integration with other tools."

"Teradata should focus on functionality for building predictive models because, in that regard, it can definitely improve."

"There is some improvement required on OLTP level and some analytical function is missing."

"The setup is not straightforward."

More Teradata cons

Pricing and Cost Advice

"Co>Operating System's pricing is on the expensive end since it tends to be used by big enterprises."

"Users have to pay a yearly licensing fee for Teradata IntelliFlex, which is very expensive."

"The solution requires a license."

"The cost is significantly high."

"The price of the solution could be reduced, it is expensive."

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

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

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

"Make sure you have the in-house skills to design and support the solution, as relying on external sources is extremely costly and tends to lock you into specific platforms, tools, and paradigms."

More Teradata pricing and cost advice

See which vendors are best for you

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

See recommendations

881,707 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

Top Industries

By visitors reading reviews

Financial Services Firm

31%

Computer Software Company

Healthcare Company

Insurance Company

Financial Services Firm

23%

Manufacturing Company

Computer Software Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	28
Midsize Enterprise	13
Large Enterprise	52

Questions from the Community

What needs improvement with Ab Initio Co>Operating System?

While Ab Initio Co>Operating System has positive attributes, I find that certain features can sometimes be difficult to understand. When I have too many import feeds opened, they can conflict wi...

What is your primary use case for Ab Initio Co>Operating System?

The flexibility of data type and source integration for my IT ecosystem is excellent because Ab Initio Co>Operating System uses metadata, so it doesn't actually access the data; it takes the dat...

What advice do you have for others considering Ab Initio Co>Operating System?

I have not been involved in the security access of the platform's data security features, but I know that Ab Initio Co>Operating System is very careful because it doesn't access any customer dat...

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,...

SSIS vs Ab Initio Co>Operating System

Comparisons

Compared 7% of the time

Control-M vs Ab Initio Co>Operating System

Compared 7% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Ab Initio Co>Operating System

Compared 6% of the time

Informatica PowerCenter vs Ab Initio Co>Operating System

Compared 5% of the time

Collibra Platform vs Ab Initio Co>Operating System

Compared 5% of the time

More Ab Initio Co>Operating System Competitors

Snowflake vs Teradata

Compared 6% of the time

Oracle Exadata vs Teradata

Compared 6% of the time

Oracle Database vs Teradata

Compared 5% of the time

SQL Server vs Teradata

Compared 5% of the time

IBM Db2 Database vs Teradata

Compared 4% of the time

More Teradata Competitors

Product Reports

Download Ab Initio Co>Operating System product report

Data Integration

January 2026

Download Teradata product report

January 2026

Also Known As

Co>Operating System

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

Overview

Ab Initio Co>Operating System offers powerful data processing capabilities, catering to big data needs with robustness and flexibility. Its architecture is designed for high performance, efficient data management, and advanced analytics, making it suitable for tech-savvy industries.

Ab Initio Co>Operating System provides an integrated platform that simplifies data processing tasks, from data validation to complex data transformations. It's engineered to handle large data volumes with efficiency, featuring an intuitive design and consistent performance. This makes it indispensable for industries requiring seamless integration and processing power, supported by tools for debugging, metadata management, and data profiling.

What are the key features of Ab Initio Co>Operating System?

Graphical Development Environment: Provides a user-friendly interface for designing data transformations.
Parallel Processing: Enables efficient handling of large datasets by leveraging parallelism.
Data Quality Management: Offers comprehensive tools for ensuring data accuracy and consistency.
Metadata Management: Facilitates easy access and management of data lineage and metadata.

What benefits and ROI should users consider?

Scalability: Easily adapts to increasing data and processing demands, minimizing additional costs.
Time Efficiency: Reduces development and processing time, enhancing productivity.
Cost Savings: Lowers operational expenses through efficient resource use.
Data Accuracy: Ensures reliable data quality, critical for decision-making processes.

In industries like telecommunications and finance, Ab Initio Co>Operating System is implemented to streamline data workflows and provide real-time analytics. Its role in these sectors involves batch processing, complex event processing, and integrating diverse sources, addressing the demands for agility and performance excellence.

Ab Initio

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

A multinational transportation company

Netflix