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

307 Views
203 Comparison Views

100% willing to recommend

AWS Data Pipeline [EOL]

Precisely Connect

Comparison Buyer's Guide

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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, Salesforce and others in Cloud Data Integration.

To learn more, read our detailed Cloud Data Integration Report (Updated: June 2025).

Buyer's Guide

Cloud Data Integration

June 2025

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Helped 860,632 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 (39th)

Featured Reviews

Geoffrey Leigh

Chief Data Strategy and Governance Architect at INDEPENDENT PURCHASING COOPERATIVE, INC

A stable, scalable, and reliable solution for moving and processing data

We're only considering enhancing the presentation layer to give a more multidimensional OLAP view that AWS seems to have decided on. Redshift with the data mart structure is like an OLAP cube. Oracle Analytics Cloud is an over-code killer and is not what we need. I was looking at Mondrian, which used to be part of the open-source stack from another vendor that works. Still, I am also looking at some of the other OLAP environments like Kaiser and perhaps decided to go to Azure with Microsoft Azure analysis cloud, but that's not multidimensional either as SSAS used to be. We tried the Mondrian, and that didn't perform how we expected. So, we are looking at resetting something to perform as an OLAP in the cloud, particularly AWS, so that we might consider an Azure solution.

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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

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

"It is a stable solution...It is a scalable solution."

"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

Computer Software Company

27%

Financial Services Firm

20%

Educational Organization

Government

Insurance Company

20%

Financial Services Firm

15%

Government

10%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about AWS Data Pipeline?

The most valuable feature of the solution is that orchestration and development capabilities are easier with the tool.

See all answers

What is your experience regarding pricing and costs for AWS 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.

See all answers

What needs improvement with AWS Data Pipeline?

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 Pipeli...

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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.

See all answers

What is your primary use case for Precisely Connect?

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Comparisons

No data available

Qlik Replicate vs Precisely Connect

Compared 70% of the time

Informatica PowerCenter vs Precisely Connect

Compared 30% of the time

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Product Reports

Buyer's Guide

Cloud Data Integration

June 2025

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Buyer's Guide

Data Integration

June 2025

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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)

Transforming and delivering application data for analytics with speed, efficiency and a flexible “design once, deploy anywhere” approach

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

June 2025

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