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AWS Data Pipeline [EOL] vs Informatica Data Engineering Streaming comparison

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Buyer's Guide
Cloud Data Integration
June 2024
Executive Summary

We performed a comparison between AWS Data Pipeline [EOL] and Informatica Data Engineering Streaming 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: June 2024).
Download the complete report
785,987 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
Reviewer43443
Helps with real-time data processing and improves decision-making overall
It improves decision-making overall for the company. Informatica is usually the tool for setting up the data, streaming the data into your data... Read more →
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 →

"It improves the performance."

More Informatica Data Engineering Streaming 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 →

"Skill requirement is required. There is a learning curve."

More Informatica Data Engineering Streaming 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 →

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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 needs improvement with Informatica Data Engineering Streaming?
    Top Answer:Skill requirement is required. There is a learning curve.
    What is your primary use case for Informatica Data Engineering Streaming?
    Top Answer:We implement business intelligence solutions, including data warehousing tools, data integration to load data into warehouses, and then creating reports.
    What advice do you have for others considering Informatica Data Engineeri...
    Top Answer:Overall, I would rate the solution an eight out of ten. Usually, Informatica is for big clients because of its pricing, and it also requires some skill sets. It requires investment into a proper data… more »
    Ranking
    Unranked
    In Cloud Data Integration
    15th
    out of 39 in Streaming Analytics
    Views
    531
    Comparisons
    512
    Reviews
    1
    Average Words per Review
    305
    Rating
    8.0
    Comparisons
    Also Known As
    Big Data Streaming, Informatica Intelligent Streaming, Intelligent Streaming
    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.

    Informatica Intelligent Streaming allows organizations to prepare and process streams of data and uncover insights while acting in time to suit business needs. It can scale out horizontally and vertically to handle petabytes of data while honoring business service level agreements (SLAs). Intelligent Streaming provides pre-built high-performance connectors such as Kafka, HDFS, NoSQL databases, and enterprise messaging systems and data transformations to enable a code-free method of defining your data integration logic.

    Sample Customers
    bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
    Jewelry TV
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company21%
    Financial Services Firm18%
    Government9%
    Manufacturing Company6%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Computer Software Company15%
    Manufacturing Company15%
    Insurance Company7%
    Company Size
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise16%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise10%
    Large Enterprise68%
    Buyer's Guide
    Cloud Data Integration
    June 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 Data Engineering Streaming is ranked 15th in Streaming Analytics with 1 review. AWS Data Pipeline [EOL] is rated 8.0, while Informatica Data Engineering Streaming is rated 8.0. 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 Data Engineering Streaming writes "Helps with real-time data processing and improves decision-making overall". AWS Data Pipeline [EOL] is most compared with AWS Database Migration Service, Oracle Data Integrator (ODI), FME, AWS Glue and Perspectium DataSync, whereas Informatica Data Engineering Streaming is most compared with Google Cloud Dataflow, Apache Flink, Databricks, Starburst Enterprise and Mule Anypoint Platform.

    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.