AWS Data Pipeline [EOL] vs Ab Initio Co>Operating System comparison

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Executive Summary

We performed a comparison between Ab Initio Co>Operating System and AWS Data Pipeline [EOL] 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 Data Pipeline [EOL] vs. Ab Initio Co>Operating System Report (Updated: March 2024).
768,740 professionals have used our research since 2012.
Featured Review
Alejandro Mosso
BarathwajRamamoorthy
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."

More Ab Initio Co>Operating System Pros →

"It is a stable solution...It is a scalable solution.""The most valuable feature of the solution is that orchestration and development capabilities are easier with the tool."

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Cons
"An awesome improvement would be big data solutions, for example, implementing some kind of business intelligence or neural networks for artificial intelligence.""Co>Operating System would be improved with more integrations for less well-known technologies."

More Ab Initio Co>Operating System Cons →

"The user-defined functions have shortcomings in AWS Data Pipeline.""It's almost semi-automatic because you must review and approve code push, which works well. Still, we had many problems getting there during the deployment process, but we got there."

More AWS Data Pipeline [EOL] Cons →

Pricing and Cost Advice
  • "Co>Operating System's pricing is on the expensive end since it tends to be used by big enterprises."
  • More Ab Initio Co>Operating System Pricing and Cost Advice →

  • "The way we use it, I think it is fair as we're getting a good value for money compared to having a server or some other data pipeline."
  • "I rate the pricing between six to eight on a scale from one to ten, where one is low price, and ten is high price."
  • More AWS Data Pipeline [EOL] Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Co>Operating System's most valuable feature is its ability to process bulk data effectively.
    Top Answer: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… more »
    Top Answer:My primary use of this solution is in the banking sector to process financial movements and generate reports. I also use it in the risk area of banking to detect thefts and risky behaviors.
    Top Answer:The most valuable feature of the solution is that orchestration and development capabilities are easier with the tool.
    Top Answer:I rate the pricing between six to eight on a scale from one to ten, where one is low price, and ten is high price.
    Top Answer:The user-defined functions have shortcomings in AWS Data Pipeline. The user-defined functions could be one of the areas where I can write a custom function and embed it as a part of AWS Data Pipeline… more »
    Ranking
    28th
    out of 100 in Data Integration
    Views
    2,206
    Comparisons
    1,092
    Reviews
    2
    Average Words per Review
    243
    Rating
    9.5
    Unranked
    In Cloud Data Integration
    Comparisons
    Also Known As
    Co>Operating System
    Learn More
    Overview
    The Co>Operating System is an environment for building, integrating, and running enterprise business applications. The Co>Operating System is the foundation for all of Ab Initio's technologies. These technologies provide a complete and seamless application development and execution environment.

    AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. ... AWS Data Pipeline also allows you to move and process data that was previously locked up in on-premises data silos.

    Sample Customers
    A multinational transportation company
    bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm41%
    Computer Software Company9%
    Insurance Company6%
    Educational Organization6%
    VISITORS READING REVIEWS
    Computer Software Company20%
    Financial Services Firm18%
    Government9%
    Manufacturing Company7%
    Company Size
    VISITORS READING REVIEWS
    Small Business12%
    Midsize Enterprise7%
    Large Enterprise81%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise15%
    Large Enterprise65%
    Buyer's Guide
    AWS Data Pipeline [EOL] vs. Ab Initio Co>Operating System
    March 2024
    Find out what your peers are saying about AWS Data Pipeline [EOL] vs. Ab Initio Co>Operating System and other solutions. Updated: March 2024.
    768,740 professionals have used our research since 2012.

    Ab Initio Co>Operating System is ranked 28th in Data Integration with 2 reviews while AWS Data Pipeline [EOL] doesn't meet the minimum requirements to be ranked in Cloud Data Integration with 2 reviews. Ab Initio Co>Operating System is rated 9.6, while AWS Data Pipeline [EOL] is rated 8.0. The top reviewer of Ab Initio Co>Operating System writes "High performance and flexible solution for companies with large amounts of data". On the other hand, the top reviewer of AWS Data Pipeline [EOL] writes "A tool with great orchestration and development capabilities but needs to improve its user-defined functions". Ab Initio Co>Operating System is most compared with SSIS, Collibra Catalog, AWS Glue, Informatica Cloud Data Integration and Talend Data Management Platform, whereas AWS Data Pipeline [EOL] is most compared with AWS Database Migration Service, AWS Glue, Oracle Data Integrator (ODI), FME and Perspectium DataSync. See our AWS Data Pipeline [EOL] vs. Ab Initio Co>Operating System report.

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    We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.