AWS Glue vs Ab Initio Co>Operating System comparison

Ab Initio and Amazon Web Services (AWS) are both solutions in the Cloud Data Integration category. Additionally, 80% of Ab Initio users are willing to recommend the solution, compared to 90% of Amazon Web Services (AWS) users who would recommend it.

Ab Initio Co>Operating System

Read 4 Ab Initio Co>Operating System reviews

2,213 Views
1,416 Comparison Views

80% willing to recommend

AWS Glue

Read 50 AWS Glue reviews

7,756 Views
4,809 Comparison Views

90% willing to recommend

Ab Initio Co>Operating System

AWS Glue

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Executive Summary

We performed a comparison between Ab Initio Co>Operating System and AWS Glue based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed AWS Glue vs. Ab Initio Co>Operating System Report (Updated: September 2025).

Buyer's Guide

AWS Glue vs. Ab Initio Co>Operating System

September 2025

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Helped 868,787 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

Average Rating

9.0

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

Data Integration (27th), Workload Automation (17th)

AWS Glue

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Cloud Data Integration (1st)

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.

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Saurabh Jaiswal

Python AWS & AI Expert at a tech consulting company

Enables seamless integration and data preparation with robust transformation capabilities

AWS Glue's most valuable features include its transformation capabilities, which provide data quality and shape for processing in ML or AI models. It offers transformation options on canvas or through ETL pipelines, notebooks, and code. Additionally, it supports data preparation, cleaning, and filtering seamlessly. AWS Glue also enhances job scheduling and orchestration capabilities, integrating with AWS Glue Studio for comprehensive data workflow management.

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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

"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."

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

"It is AWS-integrated. There is end-to-end integration with the other AWS services. It is also user-friendly."

"AWS Glue's most valuable features are the data catalog, including crawlers and tables, and Glue Studio, which means you don't have to use custom code."

"AWS Glue is a stable and easy-to-use solution."

"The solution's technical support is good. Whenever we raise a use case where we face an issue in our company, we get a response from the solution's technical team."

"It is a stable and scalable solution."

"Its user interface is quite good. You just need to choose some options to create a job in AWS Glue. The code-generation feature is also useful. If you don't want to customize it and simply want to read a file and store the data in the database, it can generate the code for you."

"AWS Glue is quite better than other tools, but you have to learn it properly before you start using it."

"I also like that you can add custom libraries like JAR files and use them. So, the ability to use a fast processing engine and embed basic jobs easily are significant advantages."

More AWS Glue pros

Cons

"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 very expensive product."

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

"The drawbacks associated with the product stem from the fact that, based on the data volume, it can become very costly."

"The solution’s stability could be improved."

"Currently, it supports only two languages in the background: Python and Scala. From our customization point of view, it would be helpful if it can also support Java in the background."

"Cost-wise, AWS Glue is expensive, so that's an area for improvement. The process for setting up the solution was also complex, which is another area for improvement."

"It would be better if it were more user-friendly. The interesting thing we found is that it was a little strange at the beginning. The way Glue works is not very straightforward. After trying different things, for example, we used just the console to create jobs. Then we realized that things were not working as expected. After researching and learning more, we realized that even though the console creates the script for the ETL processes, you need to modify or write your own script in Spark to do everything you want it to do. For example, we are pulling data from our source database and our application database, which is in Aurora. From there, we are doing the ETL to transform the data and write the results into Redshift. But what was surprising is that it's almost like whatever you want to do, you can do it with Glue because you have the option to put together your own script. Even though there are many functionalities and many connections, you have the opportunity to write your own queries to do whatever transformations you need to do. It's a little deceiving that some options are supposed to work in a certain way when you set them up in the console, but then they are not exactly working the right way or not as expected. It would be better if they provided more examples and more documentation on options."

"The product is expensive for data streaming. This area needs improvement."

"I am quite technical, yet when it comes to data pipelines, I prefer using GUIs over code-based calls. It might be easier with a different skill set."

"The mapping area and the use of the data catalog from Glue could be better."

More AWS Glue cons

Pricing and Cost Advice

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

"AWS Glue follows a pay-as-you-go model, wherein the cost of the data you use will be counted as a monthly bill."

"AWS Glue is a paid service that doesn't come under the free trial of AWS."

"The pricing is a bit higher than other solutions like Athena and EC2. If the pricing becomes more scaled or flexible, it will be good because you have to pay 44 cents just for one DPU for an hour. If you increase DPUs to 5 or 10, the pricing gets multiplied. There are also some time limits like 0 to 10 minutes or 10 to 20 minutes. If the pricing is according to the minutes, it would be better because you have to limit your job to 10 minutes or 20 minutes."

"Technical support is a paid service, and which subscription you have is dependent on that. You must pay one of them, and it ranges from $15,000 to $25,000 per year."

"The solution's pricing is based on DPUs so it is a good idea to optimize use or it can get expensive."

"The overall cost of AWS Glue could be better. It cost approximately $1,000 a month. There is paid support available from AWS Glue."

"I would rate the solution a six or seven on a scale of one to ten, with ten being very expensive. Specifically, I rate its pricing a six out of ten."

"I rate the tool's pricing a four out of ten."

More AWS Glue pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

33%

Computer Software Company

Insurance Company

Comms Service Provider

Financial Services Firm

21%

Computer Software Company

12%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	6
Large Enterprise	32

Questions from the Community

What needs improvement with Ab Initio Co>Operating System?

If Ab Initio Co>Operating System could provide an environment that allows users to practice or use it on their own computers, it would be beneficial. Additionally, having more accessible online ...

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

I am primarily in charge of building applications using Ab Initio Co>Operating System.

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

If Ab Initio Co>Operating System provided an environment for users to practice on their own computers, it would be preferable. I sometimes recommend it based on company needs. I rate it eight or...

See all answers

How do you select the right cloud ETL tool?

AWS Glue and Azure Data factory for ELT best performance cloud services.

See all answers

How does Talend Open Studio compare with AWS Glue?

We reviewed AWS Glue before choosing Talend Open Studio. AWS Glue is the managed ETL (extract, transform, and load) from Amazon Web Services. AWS Glue enables AWS users to create and manage jobs in...

See all answers

What are the most common use cases for AWS Glue?

AWS Glue's main use case is for allowing users to discover, prepare, move, and integrate data from multiple sources. The product lets you use this data for analytics, application development, or ma...

See all answers

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Compared 31% of the time

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Product Reports

Buyer's Guide

Data Integration

September 2025

Download Ab Initio Co>Operating System product report

Buyer's Guide

AWS Glue

September 2025

Download AWS Glue product report

Also Known As

Co>Operating System

No data available

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

AWS Glue is a serverless cloud data integration tool that facilitates the discovery, preparation, movement, and integration of data from multiple sources for machine learning (ML), analytics, and application development. The solution includes additional productivity and data ops tooling for running jobs, implementing business workflows, and authoring.

AWS Glue allows users to connect to more than 70 diverse data sources and manage data in a centralized data catalog. The solution facilitates visual creation, running, and monitoring of extract, transform, and load (ETL) pipelines to load data into users' data lakes. This Amazon product seamlessly integrates with other native applications of the brand and allows users to search and query cataloged data using Amazon EMR, Amazon Athena, and Amazon Redshift Spectrum.

The solution also utilizes application programming interface (API) operations to transform users' data, create runtime logs, store job logic, and create notifications for monitoring job runs. The console of AWS Glue connects all of these services into a managed application, facilitating the monitoring and operational processes. The solution also performs provisioning and management of the resources required to run users' workloads in order to minimize manual work time for organizations.

AWS Glue Features

AWS Glue groups its features into four categories - discover, prepare, integrate, and transform. Within those groups are the following features:

Automatic schema discovery: AWS Glue crawlers connect to the organization's source or target data source through a prioritized list of classifiers to determine the schema for users' data. This feature creates metadata in companies' AWS Glue Data Catalog.
Schemas for data stream management: The AWS Glue Schema Registry enables users to validate and control the evolution of streaming data through registered Apache Avro schemas for no additional charge.
Automatic scaling based on workload: This feature dynamically scales resources up and down based on workload. The feature controls job resources, removing them depending on how much the workload can be split up.
FindMatches: This feature is for machine learning-based data deduplication and cleansing, and works by finding records that are imperfect matches of each other to remove useless data copies.
Edit, debug, and test ETL code: This feature helps users who have chosen to interactively develop their ETL code by providing development endpoints for editing, debugging, and testing the code it generates for them.
AWS Glue DataBrew: An interactive, point-and-click visual interface for specialists to clean and normalize data without the need to write any code.
AWS Glue Interactive Sessions: This feature simplifies the development of data integration jobs by enabling data engineers to interactively prepare and explore data.
AWS Glue Studio Job Notebooks: This AWS Glue feature provides serverless notebooks with minimal setup, allowing developers to start working in a timely manner.
Complex ETL pipeline building: This feature allows the product to be invoked on a schedule, on demand, or based on an event, allowing users to start multiple jobs in parallel or specify dependencies to build complex ETL pipelines.
AWS Glue Studio: This AWS Glue feature allows users to visually transform data through a drag-and-drop interface. The product automatically generates the code for ETL processes for users' data.

AWS Glue Benefits

AWS Glue offers a wide range of benefits for its users. These benefits include:

Users of other AWS products can easily onboard with AWS Glue, as it is integrated across a wide range of the company's services.
The solution is serverless, which allows for a lower total cost of ownership.
AWS Glue offers more power for users, as it automates much of the effort in building, maintaining, and running ETL jobs.
The product allows customers to easily discover and search across all their AWS datasets through AWS Glue Data Catalog.
AWS Glue does not require additional payment for managing and enforcing schemas for data streams.
The solution facilitates the authority of scalable ETL jobs for beginners and non-coding experts through a drag-and-drop interface.

Reviews from Real Users

Mustapha A., a cloud data engineer at Jems Groupe, likes AWS Glue because it is a product that is great for serverless data transformations.

Liana I., CEO at Quark Technologies SRL, describes AWS Glue as a highly scalable, reliable, and beneficial pay-as-you-go pricing model.

Amazon Web Services (AWS)

Sample Customers

A multinational transportation company

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday

Buyer's Guide

AWS Glue vs. Ab Initio Co>Operating System

September 2025

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