AWS Data Pipeline [EOL] vs Precisely Connect comparison

Amazon Web Services (AWS) and Precisely are both solutions in the Cloud Data Integration category. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Precisely users who would recommend it.

AWS Data Pipeline [EOL]

Read 2 AWS Data Pipeline [EOL] reviews

100% willing to recommend

Precisely Connect

Read 1 Precisely Connect review

1,787 Views
1,465 Comparison Views

100% willing to recommend

AWS Data Pipeline [EOL]

Precisely Connect

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Executive Summary

We performed a comparison between AWS Data Pipeline [EOL] and Precisely Connect based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Palantir and others in Cloud Data Integration.

To learn more, read our detailed Cloud Data Integration Report (Updated: July 2026).

Buyer's Guide

Cloud Data Integration

July 2026

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Helped 908,402 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

AWS Data Pipeline [EOL]

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Precisely Connect

Average Rating

8.0

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Data Integration (45th)

Featured Reviews

BarathwajRamamoorthy

Senior Director Data Architecture at Managed Markets Insight & Technology, LLC

A tool with great orchestration and development capabilities but needs to improve its user-defined functions

In the tool, parallel processing is an area that is contingent, in the sense that you have to be watchful for the cap that you have in terms of computing behind AWS Data Pipeline. You need to always watch for some reason. I am capped with 200 nodes, and if I get to use more than 200 nodes, the AWS Data Pipeline will fail. AWS doesn't state that I have almost gone beyond my limits, and it is allowing me now to go beyond the set limits if I talk to a representative and figure it out. Such aforementioned warnings are not let out by AWS, and they end up failing the nodes if I go beyond the set cap limits.

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reviewer2667306

Data Engineer at a consultancy with 1-10 employees

AI compliance integration elevates data quality and decision-making

I usually implement Precisely and Collibra tools for clients to enhance data quality. My main use case involves working with the data catalog of Precisely to integrate data management processes and ensure data governance Precisely has the AI Act already implemented into the data catalog, which…

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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

"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."

"Precisely has the AI Act already implemented into the data catalog, which allows the integration of the European Artificial Intelligence Act into our processes."

"Using Precisely improves data quality, which can lead to a 30% increase in revenue and boost net income by 20% to 25% if implemented correctly."

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."

"Precisely works with a tool called Analyze, which has a steep learning curve due to its use of Jython, a combination of Java and Python. This could be improved to make the tool more user-friendly."

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."

Information not available

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

15%

Construction Company

11%

Insurance Company

10%

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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What is your experience regarding pricing and costs for Precisely Connect?

Precisely has a high entry price, which is why it is not suitable for small to mid-sized organizations.

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What needs improvement with Precisely Connect?

Precisely works with a tool called Analyze, which has a steep learning curve due to its use of Jython, a combination of Java and Python. This could be improved to make the tool more user-friendly.

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What is your primary use case for Precisely Connect?

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Comparisons

AWS Glue vs AWS Data Pipeline [EOL]

Compared 31% of the time

IBM InfoSphere DataStage vs AWS Data Pipeline [EOL]

Compared 26% of the time

Perspectium DataSync vs AWS Data Pipeline [EOL]

Compared 24% of the time

MuleSoft Composer vs AWS Data Pipeline [EOL]

Compared 19% of the time

More AWS Data Pipeline [EOL] Competitors

Oracle Data Integrator (ODI) vs Precisely Connect

Compared 19% of the time

Qlik Talend Cloud vs Precisely Connect

Compared 15% of the time

Informatica PowerCenter vs Precisely Connect

Compared 13% of the time

SSIS vs Precisely Connect

Compared 9% of the time

ASCENDING Data Integration vs Precisely Connect

Compared 9% of the time

More Precisely Connect Competitors

Product Reports

Buyer's Guide

Cloud Data Integration

July 2026

Download AWS Data Pipeline [EOL] product report

Buyer's Guide

Data Integration

July 2026

Download Precisely Connect product report

Also Known As

No data available

DMExpress, Syncsort DMX, Syncsort Connect ETL

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.

Amazon Web Services (AWS)

Precisely Connect is a robust data integration solution designed for seamless data connectivity across diverse platforms. It offers impressive capabilities to manage and analyze data efficiently, delivering great value for businesses aiming to optimize data-driven decision-making processes.

Precisely Connect stands out by providing comprehensive integration options for heterogenous data environments. Its user-friendly design and extensive functionality make it an ideal choice for businesses looking to harness the full potential of their data assets. Its flexibility and support for a wide range of data sources simplify the task of managing complex data landscapes. By enabling efficient data movement and transformation, it empowers enterprises to derive meaningful insights and drive strategic initiatives effectively.

What are the main features of Precisely Connect?

Data Integration: Effortlessly connects various data sources, ensuring seamless data flow and accuracy.
Scalability: Adapts to growing business needs while maintaining performance and reliability.
Real-time Data Processing: Supports immediate data gathering and analysis for timely decision-making.
Comprehensive Support: Includes extensive documentation and customer service for end-user ease.

What benefits should users expect?

Increased Efficiency: Streamlined processes reduce time and labor costs associated with data management.
Enhanced Insight: Greater access to integrated data leads to informed business strategies.
Cost Savings: Minimizes infrastructure costs by optimizing data operations and reducing resource consumption.
Improved Decision Making: Facilitates data-driven decisions with reliable and up-to-date information.

In industries such as finance and healthcare, Precisely Connect is implemented to ensure data integrity and compliance, crucial for regulatory mandates. Retail businesses leverage its capabilities to analyze consumer data for personalized marketing strategies, while manufacturing companies utilize it for optimizing supply chain operations and inventory management.

Precisely

Sample Customers

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

Hermes, Kantar Worldpanel, Kojima Press Industry Co. Ltd., OTC Markets Group, Experian, Co-operative Group, State of Tennessee Department of Human Services, Centers for Medicare & Medicaid Services, Silverton, comScore

Buyer's Guide

Cloud Data Integration

July 2026

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