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AWS Data Pipeline [EOL] vs Informatica Enterprise Data Lake comparison

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Buyer's Guide
Cloud Data Integration
March 2024
Executive Summary

We performed a comparison between AWS Data Pipeline [EOL] and Informatica Enterprise Data Lake based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration.
To learn more, read our detailed Cloud Data Integration Report (Updated: March 2024).
Download the complete report
767,847 professionals have used our research since 2012.
Featured Review
BarathwajRamamoorthy
A tool with great orchestration and development capabilities but needs to improve its user-defined functions
Anonymous User
A scalable tool that needs a lot of maintenance due to its unstable nature
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
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."

More AWS Data Pipeline [EOL] Pros →

"The process of using the tool's scalability option is well documented."

More Informatica Enterprise Data Lake Pros →

Cons
"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.""The user-defined functions have shortcomings in AWS Data Pipeline."

More AWS Data Pipeline [EOL] Cons →

"Informatica Enterprise Data Lake's setup process was complex since it doesn't support a lot of real-time systems."

More Informatica Enterprise Data Lake Cons →

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 →

  • "The licenses attached to the solution are highly priced."

    • More Informatica Enterprise Data Lake Pricing and Cost Advice →

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    Questions from the Community
    What do you like most about AWS Data Pipeline?
    Top Answer:The most valuable feature of the solution is that orchestration and development capabilities are easier with the tool.
    Read all 2 answers   →
    What is your experience regarding pricing and costs for AWS Data Pipeline?
    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.
    Read all 2 answers   →
    What needs improvement with AWS Data Pipeline?
    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 »
    Read all 2 answers   →
    What do you like most about Informatica Enterprise Data Lake?
    Top Answer:The process of using the tool's scalability option is well documented.
    What is your experience regarding pricing and costs for Informatica Enter...
    Top Answer:The licenses attached to the solution are highly priced. Informatica has licensing models for every product and for every feature, like the web service feature, which is something my company doesn't… more »
    What needs improvement with Informatica Enterprise Data Lake?
    Top Answer:Governance, data dictionary, and data cataloging are not available in Informatica Enterprise Data Lake. A lot of businesses are facing issues related to understanding the area revolving around… more »
    Ranking
    Unranked
    In Cloud Data Integration
    41st
    out of 100 in Data Integration
    Views
    434
    Comparisons
    413
    Reviews
    1
    Average Words per Review
    832
    Rating
    7.0
    Comparisons
    Also Known As
    Informatica Intelligent Data Lake, Intelligent Data Lake
    Learn More
    Amazon Web Services (AWS)
    Informatica
    Overview

    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.

    The Intelligent Data Lake enables raw big data to be systematically transformed into fit-for-purpose data sets for a variety of data consumers. Data scientists and analysts can quickly find the data they’re looking for using semantic and faceted search. They can see data profiles, lineage, and other relationships to know whether they can trust the data and whether it’s fit-for-use in their analytic projects. 

    Sample Customers
    bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
    Information Not Available
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company21%
    Financial Services Firm18%
    Government9%
    Manufacturing Company7%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Manufacturing Company11%
    Computer Software Company11%
    Healthcare Company9%
    Company Size
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise15%
    Large Enterprise65%
    VISITORS READING REVIEWS
    Small Business11%
    Midsize Enterprise11%
    Large Enterprise78%
    Buyer's Guide
    Cloud Data Integration
    March 2024
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    AWS Data Pipeline [EOL] doesn't meet the minimum requirements to be ranked in Cloud Data Integration with 2 reviews while Informatica Enterprise Data Lake is ranked 41st in Data Integration with 1 review. AWS Data Pipeline [EOL] is rated 8.0, while Informatica Enterprise Data Lake is rated 7.0. 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". On the other hand, the top reviewer of Informatica Enterprise Data Lake writes "A scalable tool that needs a lot of maintenance due to its unstable nature". AWS Data Pipeline [EOL] is most compared with AWS Database Migration Service, AWS Glue, Oracle Data Integrator (ODI), FME and Perspectium DataSync, whereas Informatica Enterprise Data Lake is most compared with Palantir Foundry.

    See our list of best Cloud Data Integration vendors.

    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.