AWS Data Pipeline [EOL] vs Dataloader.io comparison

Amazon Web Services (AWS) and Salesforce 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 Salesforce users who would recommend it.

AWS Data Pipeline [EOL]

Read 2 AWS Data Pipeline [EOL] reviews

100% willing to recommend

Dataloader.io

Read 2 Dataloader.io reviews

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1,056 Comparison Views

100% willing to recommend

AWS Data Pipeline [EOL]

Dataloader.io

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Executive Summary

We performed a comparison between AWS Data Pipeline [EOL] and Dataloader.io 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: May 2026).

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Cloud Data Integration

May 2026

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Helped 895,272 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

Dataloader.io

Average Rating

7.6

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

Data Integration (49th)

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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reviewer2542599

Lead Database Administrator at a insurance company with 201-500 employees

Integrating external keys seamlessly while has transaction constraints

I find DataLoader's ability to easily integrate with external keys valuable, which is a bit more challenging with DBM. It provides automation for scheduling data loads, and we use the server's functionality for this. Additionally, DataLoader is cost-effective since it is free. As long as I have stable network access, uploading and downloading data is straightforward.

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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."

"he product’s most valuable feature is ease of access."

"DataLoader is cost-effective since it is free."

"I find DataLoader's ability to easily integrate with external keys valuable, which is a bit more challenging with DBM."

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."

"DataLoader has limitations, including constraints with file sizes and transactions."

"We need help with large data migrations. It only works well for a few thousand records or less than a million records."

"Dataloader has limitations, including constraints with file sizes and transactions. Additionally, at times it can be slow, and when integrating DBM, we find it more complex than Dataloader."

Pricing and Cost Advice

"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."

"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."

"The product is inexpensive and economical."

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Top Industries

By visitors reading reviews

No data available

Construction Company

20%

Comms Service Provider

16%

Transportation Company

Insurance 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 Dataloader.io?

Dataloader.io is cost-effective, particularly since it is free.

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What needs improvement with Dataloader.io?

DataLoader has limitations, including constraints with file sizes and transactions. Additionally, at times it can be slow, and when integrating DBM, we find it more complex than DataLoader.

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What advice do you have for others considering Dataloader.io?

For small to mid-range businesses, DataLoader is perfectly fine, offering everything needed for uploading. On a scale of one to ten, I would rate DataLoader a seven or eight depending on specific n...

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Comparisons

AWS Glue vs AWS Data Pipeline [EOL]

Compared 39% of the time

Perspectium DataSync vs AWS Data Pipeline [EOL]

Compared 34% of the time

IBM InfoSphere DataStage vs AWS Data Pipeline [EOL]

Compared 27% of the time

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Jitterbit Harmony vs Dataloader.io

Compared 11% of the time

SSIS vs Dataloader.io

Compared 9% of the time

TetraScience vs Dataloader.io

Compared 9% of the time

DBamp vs Dataloader.io

Compared 8% of the time

Qlik Talend Cloud vs Dataloader.io

Compared 7% of the time

More Dataloader.io Competitors

Product Reports

Buyer's Guide

Cloud Data Integration

May 2026

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Buyer's Guide

Data Integration

May 2026

Download Dataloader.io product report

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)

Dataloader.io is a cloud-based application designed to simplify data import, export, and integration tasks. It caters to users looking for a straightforward data management tool that supports Salesforce.

Users benefit from Dataloader.io's ability to streamline workflows and automate repetitive data-handling processes. Its advanced capabilities allow businesses to efficiently manage large volumes of data, ensuring accuracy and consistency across Salesforce environments. With intuitive scheduling and user-friendly operations, Dataloader.io is a preferred choice for tech-savvy professionals aiming to enhance productivity.

What are the main features of Dataloader.io?

Cloud-based: Access Dataloader.io from anywhere without installation.
Data Scheduling: Automate data tasks to run at specified intervals.
OAuth Authentication: Securely connect to Salesforce without storing passwords.
Support for Bulk API: Handle large data sets efficiently to optimize processing time.
Export/Import: Move data to and from Salesforce easily.
Intuitive Interface: Simple navigation and operation to decrease the learning curve.

What benefits or ROI should be evaluated in reviews?

Time Efficiency: Reduction in manual data processes, freeing up resources.
Data Accuracy: Maintains consistency across Salesforce applications.
Cost Savings: Decreased overhead by minimizing manual intervention.
Scalability: Easily manages increased data volumes as business needs grow.

In industries like retail, Dataloader.io is valuable for managing large customer databases and inventory data. Financial services benefit from its accuracy in processing transaction data. The straightforward design aids sectors with significant data operations, ensuring efficient data handling and smooth information flow within Salesforce.

Salesforce

Sample Customers

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

UCSF, Box, CareFusion, Unilever, Hershey's

Buyer's Guide

Cloud Data Integration

May 2026

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