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AWS Glue vs Ab Initio Co>Operating System comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Ab Initio Co>Operating System
Average Rating
9.6
Reviews Sentiment
7.9
Number of Reviews
2
Ranking in other categories
Data Integration (31st), Workload Automation (20th)
AWS Glue
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
45
Ranking in other categories
Cloud Data Integration (1st)
 

Featured Reviews

RV
Excellent bulk data processing for large enterprises
Co>Operating System's most valuable feature is its ability to process bulk data effectively Co>Operating System would be improved with more integrations for less well-known technologies. In the next release, Co>Operating System should include some AI capabilities on the data governance side, like…
Ajaykumar Myana - PeerSpot reviewer
Provides serverless mechanism, easy data transformation and automated infrastructure management
We no longer had to worry much about infrastructure management because AWS Glue is serverless, and Amazon takes care of the underlying infrastructure. This allowed us to focus on the code and application logic without concerns about scaling, CPU management, or handling fluctuations in flow. The serverless nature of Glue jobs relieved us from these infrastructure-related worries.

Quotes from Members

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

Pros

"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."
"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."
"AWS Glue is quite better than other tools, but you have to learn it properly before you start using it."
"You do not need many frameworks to run Glue."
"Transformations are valuable because you can modify or override complex data logic from an open source or Spark to solve issues."
"It is a stable and scalable solution."
"AWS Glue is fast and managed by AWS. Hence, you don't have to worry about capacity and the performance of Glue jobs. It has integrations with other data stores of AWS. The product offers metadata management, logging, and ETL processing capabilities. It comes with a powerful feature, Glue Studio, which helps to do queries interactively within the community. It is a managed service and very secure. Another popular and mature service is S3."
"The facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features."
"Its ease of use, cost-effectiveness, and highly secure architecture are some of the most valuable features."
 

Cons

"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."
"On occasion, the solution's dashboard reports that a project failed due to runtime but it actually succeeded."
"AWS Glue should be more reliable and faster in processing. Enhancing the speed of data processing would be beneficial."
"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."
"I have encountered challenges with multi-region support."
"The technical support for this solution could be improved. In future, we would like to connect more services like Athena or Kinesis to help control more loads of data."
"Setting up pipelines is challenging, especially with version control and testing requirements."
"In terms of performance, if they can further optimize the execution time for serverless jobs, it would be a welcome improvement."
"The price of the solution could improve."
 

Pricing and Cost Advice

"Co>Operating System's pricing is on the expensive end since it tends to be used by big enterprises."
"It is not expensive. AWS Glue works on the serverless architecture. We get charged for the time the server is up. For our use case, we have to use it once in a day, and it is not expensive for us."
"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 an eight on a scale of one to ten, where one is expensive, and ten is expensive."
"I rate the product's pricing a five on a scale of one to ten, where one is a high price, and ten is a low price."
"AWS Glue is quite costly, especially for small organizations."
"AWS Glue follows a pay-as-you-go model, wherein the cost of the data you use will be counted as a monthly bill."
"The solution's pricing is based on DPUs so it is a good idea to optimize use or it can get expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
39%
Computer Software Company
8%
Insurance Company
8%
University
6%
Financial Services Firm
21%
Computer Software Company
14%
Manufacturing Company
8%
Insurance Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Ab Initio Co>Operating System?
Co>Operating System's most valuable feature is its ability to process bulk data effectively.
What needs improvement with Ab Initio Co>Operating System?
Co>Operating System would be improved with more integrations for less well-known technologies. In the next release, Co>Operating System should include some AI capabilities on the data governa...
What advice do you have for others considering Ab Initio Co>Operating System?
Co>Operating System is best suited for big enterprises. I would rate it nine out of ten.
How do you select the right cloud ETL tool?
AWS Glue and Azure Data factory for ELT best performance cloud services.
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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...
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...
 

Also Known As

Co>Operating System
No data available
 

Learn More

 

Overview

 

Sample Customers

A multinational transportation company
bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
Find out what your peers are saying about AWS Glue vs. Ab Initio Co>Operating System and other solutions. Updated: October 2024.
816,406 professionals have used our research since 2012.