Ab Initio Co&gt;Operating System vs Qlik Talend Cloud comparison

Ab Initio Co>Operating System vs. Qlik Talend Cloud

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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

32nd

Average Rating

8.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Workload Automation (20th)

Qlik Talend Cloud

Ranking in Data Integration

7th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (4th), Cloud Data Integration (6th), Data Governance (8th), Cloud Master Data Management (MDM) (3rd), Streaming Analytics (11th), Integration Platform as a Service (iPaaS) (6th)

Mindshare comparison

As of November 2026, in the Data Integration category, the mindshare of Ab Initio Co>Operating System is 1.1%, down from 1.5% compared to the previous year. The mindshare of Qlik Talend Cloud is 2.5%, up from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Qlik Talend Cloud	2.5%
Ab Initio Co>Operating System	1.1%
Other	96.4%

Data Integration

Featured Reviews

reviewer2777331

Data Analyst at a tech services company with 11-50 employees

Metadata-driven lineage has transformed our data governance and delivers flexible integration

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 with each other. If I'm using two separate import feeds for running my codes and they contain the same code inside, they experience conflicts, which creates difficulties. I believe this should not occur because it requires me to clear the work queue to run my import feed. I don't believe there are any missing features in Ab Initio Co>Operating System so far, but I would appreciate a better search feature. The global search is excellent, but a more in-depth search feature that allows me to search within the feeds or assets would be beneficial.

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Henrique Fsantos

Data & Analytics Engineer at PicPay

Automated data pipelines have improved analytics workflows and provide trusted reporting data

The best features of Qlik Talend Cloud are its connectors to many systems, databases, APIs, and files, including both SQL and NoSQL databases. The scheduling feature allows me to run jobs automatically in the cloud, and the built-in data quality tools help clean and check data. The reusable components enable me to reuse jobs and parts, which saves time, making it easy to build good data pipelines. The feature that has made the biggest difference for me in Qlik Talend Cloud is the scheduling and automation, which helps me run ETL jobs automatically without manual work. This saves time, reduces errors, and makes the pipelines more stable. In my daily work, I can trust that the data is updated on time and ready for reports and analytics. Qlik Talend Cloud has had a positive impact on my organization by automating data integration processes, reducing manual errors, and ensuring reliable and up-to-date data for reports and business decisions. This has improved operational stability, productivity, and trust in the data. Since using Qlik Talend Cloud, we have reduced manual work, resulting in approximately 20% to 30% time savings in data load processes. We have also seen a reduction in operational errors, mainly due to automation and the data quality checks, and a clear improvement in data reliability since the pipelines became more standardized and monitored.

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Quotes from Members

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

Pros

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

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

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

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

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

"I like the way that you can use the context variables, and how you can work those context variables to give you values and settings for every development environment, such as PROD, TEST, and DEV."

"The Studio is easy to understand."

"Better control and flexibility to add/custom define features, to tailor to your needs by modifying its Java generated code."

"The scheduling part of the solution is very good."

"We are still in the process of evaluating them, but I love the way things look in Talend, and I'm all for Talend."

"It is saving a lot of time. Today, we can mask around a hundred million records in 10 minutes. Masking is one of the key pieces that is used heavily by the business and IT folks. Normally in the software development life cycle, before you project anything into the production environment, you have to test it in the test environment to make sure that when the data goes into production, it works, but these are all production files. For example, we acquired a new company or a new state for which we're going to do the entire back office, which is related to claims processing, payments, and member enrollment every year. If you get the production data and process it again, it becomes a compliance issue. Therefore, for any migrations that are happening, we have developed a new capability called pattern masking. This feature looks at those files, masks that information, and processes it through the system. With this, there is no PHI and PII element, and there is data integrity across different systems. It has seamless integration with different databases. It has components using which you can easily integrate with different databases on the cloud or on-premise. It is a drag and drop kind of tool. Instead of writing a lot of Java code or SQL queries, you can just drag and drop things. It is all very pictorial. It easily tells you where the job is failing. So, you can just go quickly and figure out why it is happening and then fix it."

"Talend has allowed us to systematically organise/structure and deploy our staged ETL transformation processes from Development into production, we have tracked our data quality efforts during our runs and supplied comprehensive feedback during our development."

"Some of the algorithms that are inbuilt in Talend Data Quality, such as Levenshtein, are the most valuable functions for us."

More Qlik Talend Cloud pros

Cons

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

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

"Ab Initio Co>Operating System is a costly technology."

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

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

"Processing large volumes of data sometimes consumes a lot of resources."

"The solution's memory sometimes bottlenecks and that can be challenging."

"If the SQL input controls could dynamically determine the schema-based on the SQL alone, it would simplify the steps of having to use a manually created and saved schema for use in the TMap for the Postgres and Redshift components. This would make things even easier."

"In terms of the solution's technical support, the interactions were satisfactory, but there is room for improvement, especially in managing expectations."

"If we encounter issues, it’s most likely when using the Talend Open Studio. The studio can be slow, get stuck, or crash. But again, it can be caused by the resources of your machine or your connection with the repository. If we encounter issues with the Studio we restart the Studio. In emergencies, we create and use a new workspace."

"I'd be interested in seeing the running of Python programs and transformations from within the studio itself."

"The ability to change the code when debugging the JavaScript could be improved."

"The product's setup process could be simpler."

More Qlik Talend Cloud cons

Pricing and Cost Advice

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

"I have been using the open-source version."

"The solution's pricing is very reasonable and half the cost of Informatica."

"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."

"License renewal is on a yearly basis."

"The price is on a per-user basis. It's a little more expensive than other tools. There aren't any additional costs beyond the standard licensing fee."

"The licensing cost is about 40,000 Euros a year."

"It's a subscription-based platform, we renew it every year."

"The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."

More Qlik Talend Cloud pricing and cost advice

See which vendors are best for you

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Top Industries

By visitors reading reviews

Financial Services Firm

25%

Comms Service Provider

10%

Construction Company

10%

Healthcare Company

Financial Services Firm

14%

Outsourcing Company

12%

Comms Service Provider

11%

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	21
Midsize Enterprise	12
Large Enterprise	20

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...

What needs improvement with Talend Data Quality?

I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not ...

What is your primary use case for Talend Data Quality?

It is for consistency, mainly; data consistency and data quality are our main use cases for the product. Data consistency is the primary purpose we use it for, as we have written rules in Talend Da...

What advice do you have for others considering Talend Data Quality?

Currently, I'm working with batch jobs and don't perform real-time data quality monitoring because of the large data volume. For real-time, we use a different product. I cannot provide details abou...

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Product Reports

Data Integration

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Qlik Talend Cloud

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Also Known As

Co>Operating System

Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance

Overview

Ab Initio Co>Operating System provides an intuitive graphical interface ideal for visualizing data flows, outstanding bulk data processing performance, and excellent large SAS code handling. It offers flexible parallelism, scalability, efficient data extraction, and comprehensive data lineage insights.

Designed for enterprises handling vast data volumes, Ab Initio Co>Operating System shines in environments requiring high-performance analytics and ETL processes. The software's parallelism and scalability are suited for complex data processes, while its Metadata Hub and integrated profiling tools enhance data insights. Seamless database extraction without complex formatting is a notable advantage, contributing to its widespread use in demanding industries. Critiques focus on the need for improved online resources, big data capabilities, enhanced data import handling, and advanced search functions. Users also desire better local support and tools to manage code conflicts in its unique paradigm.

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

Graphical Interface: Provides intuitive data flow visualization.
Flexible Parallelism: Ensures scalability for complex data processing.
Data Lineage Insights: Metadata Hub offers detailed lineage and understanding.
Integrated Profiling Tools: Enhance data analysis and comprehension.
Seamless Extraction: Efficiently extracts data from databases without complex formatting.

What benefits or ROI should users expect?

Scalability: Supports growth in data processes seamlessly.
Performance: Handles bulk data processing with efficiency.
Enhanced Understanding: Data profiling tools bolster data comprehension.
Data Lineage: Improved traceability with detailed lineage insights.
Responsive Support: Continually beneficial for troubleshooting and guidance.

Ab Initio Co>Operating System is heavily utilized in banking, focusing on processing financial transactions, risk detection, and reporting. Its flexibility aids in integrating diverse data types and has led to applications in ETL, KPIs, and real-time services like web services. Features like data lineage and Express IT for GUI and business rule development are valued for their capability to create intricate applications without similar competitive tools.

Ab Initio

Qlik Talend Cloud provides robust data integration tools tailored for efficient management of large volumes, offering real-time data access, Java integration, and custom code capabilities for developers.

Qlik Talend Cloud is known for its extensive connectivity options, enabling seamless integration across different platforms, such as S3, Redshift, Oracle, and SQL Server. The central repository facilitates consistent metadata access throughout organizations, enhancing collaboration. Despite its strengths in advanced monitoring, automation, and user-friendly drag-and-drop interfaces, users face challenges with installation stability, technical support, documentation inconsistencies, and complexities in learning. Performance concerns also include multitasking limitations and excessive memory usage. The platform's licensing costs can be prohibitive for smaller companies, while demands for improved data governance and intuitive code management continue. Its applications in healthcare data parsing, ETL task automation, and diverse data platform integration demonstrate its utility, although there's a constant demand for better scalability and efficient transformations.

What are the key features?

Seamless Real-Time Data Access: Ensures that users can access the latest information across systems without delays for better decision-making.
Java Integration: Facilitates smooth incorporation of Java components into workflows, broadening development options.
Custom Code Development: Offers flexibility to develop tailored solutions to meet specific integration scenarios.
Vast Connectors: Enhances connectivity between multiple platforms, supporting comprehensive data integration strategies.
Central Repository: Allows for uniform metadata access across departments, promoting cohesive data management practices.
Automation and Monitoring: Streamlines workflows with advanced automation and monitoring, reducing manual intervention and errors.

What benefits and ROI should users evaluate?

Improved Data Quality: Tools for data matching and error handling ensure high-quality, reliable data for analytics and reporting.
Efficient Workflow Streamlining: Drag-and-drop interfaces and automation features simplify complex workflows, enhancing operational efficiency.
Enhanced Business Insights: By integrating diverse data sources, businesses can derive deeper insights and ensure compliance through better data management.
Cost Management: Although some users find licensing expensive, comprehensive feature sets aimed at improving data processes can justify costs.
Community Support: Users benefit from active community forums that provide assistance, although technical support also necessitates enhancements.

In specialized industries like healthcare, users leverage Qlik Talend Cloud for data integration and transformation, aiding in compliance and analytics. Compatibility with cloud and on-premises systems ensures adaptability to complex data tasks, facilitating business application development. Organizations focus on enhanced data ingestion and quality checks for comprehensive solutions.

Qlik

Sample Customers

A multinational transportation company

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Ab Initio Co>Operating System vs. Qlik Talend Cloud