AWS Data Pipeline [EOL] vs AWS Glue comparison

Why PeerSpot?

AWS Data Pipeline [EOL] and AWS Glue are both solutions in the Cloud Data Integration category. Additionally, 100% of AWS Data Pipeline [EOL] users are willing to recommend the solution, compared to 90% of AWS Glue users who would recommend it.

AWS Data Pipeline [EOL]

Read 2 AWS Data Pipeline [EOL] reviews

100% willing to recommend

AWS Glue

Read 50 AWS Glue reviews

10,436 Views
8,036 Comparison Views

90% willing to recommend

AWS Data Pipeline [EOL]

AWS Glue

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Executive Summary

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

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

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

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Cloud Data Integration

October 2026

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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

AWS Glue

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Cloud Data Integration (1st)

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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Nivas Srinivasan

Principal Consultant at a retailer with 1,001-5,000 employees

The solution improves ETL performance but faces challenges with version upgrades

For ETL, I feel the performance is excellent. If I create jobs in a standard way, the performance is great, and maintenance is also seamless. It is serverless, so I do not need to worry about other integrations. It runs on a serverless VM. Glue services from AWS are regularly upgraded with new properties and functions. We use PySpark and other frameworks, which help customize our ETL process in a standard way. During our process, we utilized the typical SQL ITIL process standard in Glue-oriented ETL services, which helped us improve performance and time. AWS running time, mostly during the morning, saved us time compared to the old ETL method. There are many email notifications once a job is successful or fails, and we get notifications using SES or AWS's Simple Notification Service. Glue is integrated with both email alerts, and we are responsible for managing the full data journey from end to end.

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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."

"The solution's technical support is good. Whenever we raise a use case where we face an issue in our company, we get a response from the solution's technical team."

"Its user interface is quite good; you just need to choose some options to create a job in AWS Glue, and the code-generation feature is also useful because if you don't want to customize it and simply want to read a file and store the data in the database, it can generate the code for you."

"AWS Glue is a good solution for developers, they have the ability to write code in different languages and other software."

"AWS Glue's best features are scalability and cloud-based features."

"AWS Glue has reduced efforts by 60%, which is the main benefit."

"We no longer had to worry much about infrastructure management because AWS Glue is serverless, and Amazon takes care of the underlying infrastructure."

"The most valuable feature of AWS Glue is that it provides a GUI format with a drag-and-drop feature."

"What I like best about AWS Glue is its real-time data backup feature. Last week, there was a production push, and what used to take almost ten days to send out around fifty-six thousand emails now takes only two hours."

More AWS Glue pros

Cons

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

"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."

"AWS Glue would be improved by making it easier to switch from single to multi-cloud."

"It is not clear how the partition discovery would have been affected by more data coming in."

"It would be better if it were more user-friendly. The interesting thing we found is that it was a little strange at the beginning. The way Glue works is not very straightforward. After trying different things, for example, we used just the console to create jobs. Then we realized that things were not working as expected. After researching and learning more, we realized that even though the console creates the script for the ETL processes, you need to modify or write your own script in Spark to do everything you want it to do. For example, we are pulling data from our source database and our application database, which is in Aurora. From there, we are doing the ETL to transform the data and write the results into Redshift. But what was surprising is that it's almost like whatever you want to do, you can do it with Glue because you have the option to put together your own script. Even though there are many functionalities and many connections, you have the opportunity to write your own queries to do whatever transformations you need to do. It's a little deceiving that some options are supposed to work in a certain way when you set them up in the console, but then they are not exactly working the right way or not as expected. It would be better if they provided more examples and more documentation on options."

"The solution’s stability could be improved."

"There is a learning curve to this tool."

"Beginners need additional support as it currently lacks some features required for complex transformations, often necessitating custom Python coding."

"The interface for AWS Glue could improve, they do not put a lot of details."

"We face performance issues when using AWS Glue for data transformation and integration."

More AWS Glue cons

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."

"AWS Glue is a paid service that doesn't come under the free trial of AWS."

"I would rate the solution a six or seven on a scale of one to ten, with ten being very expensive. Specifically, I rate its pricing a six out of ten."

"AWS Glue uses a pay-as-you-go approach which is helpful. The price of the overall solution is low and is a great advantage."

"AWS Glue follows a pay-as-you-go model, wherein the cost of the data you use will be counted as a monthly bill."

"It is not expensive. AWS Glue works on the serverless architecture. We get charged for the time the server is up. For our use case, we have to use it once in a day, and it is not expensive for us."

"The overall cost of AWS Glue could be better. It cost approximately $1,000 a month. There is paid support available from AWS Glue."

"Technical support is a paid service, and which subscription you have is dependent on that. You must pay one of them, and it ranges from $15,000 to $25,000 per year."

"AWS Glue is quite costly, especially for small organizations."

More AWS Glue pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

18%

Manufacturing Company

Comms Service Provider

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	5
Large Enterprise	34

Questions from the Community

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How do you select the right cloud ETL tool?

AWS Glue and Azure Data factory for ELT best performance cloud services.

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How does Talend Open Studio compare with AWS Glue?

We reviewed AWS Glue before choosing Talend Open Studio. AWS Glue is the managed ETL (extract, transform, and load) from Amazon Web Services. AWS Glue enables AWS users to create and manage jobs in...

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What are the most common use cases for AWS Glue?

AWS Glue's main use case is for allowing users to discover, prepare, move, and integrate data from multiple sources. The product lets you use this data for analytics, application development, or ma...

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Comparisons

IBM InfoSphere DataStage vs AWS Data Pipeline [EOL]

Compared 15% of the time

Perspectium DataSync vs AWS Data Pipeline [EOL]

Compared 15% of the time

Stitch vs AWS Data Pipeline [EOL]

Compared 11% of the time

MuleSoft Composer vs AWS Data Pipeline [EOL]

Compared 11% of the time

IBM Cloud Pak for Integration vs AWS Data Pipeline [EOL]

Compared 10% of the time

More AWS Data Pipeline [EOL] Competitors

AWS Database Migration Service vs AWS Glue

Compared 43% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs AWS Glue

Compared 5% of the time

SSIS vs AWS Glue

Compared 4% of the time

Amazon Data Firehose vs AWS Glue

Compared 3% of the time

Palantir Foundry vs AWS Glue

Compared 3% of the time

More AWS Glue Competitors

Product Reports

Buyer's Guide

Cloud Data Integration

October 2026

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Buyer's Guide

AWS Glue

October 2026

Download AWS Glue 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)

AWS Glue is a serverless data integration service offering seamless integration with AWS services like S3, Redshift, and Athena. Known for its flexibility with data formats and automation of ETL tasks, AWS Glue enhances data management and transformation.

AWS Glue facilitates seamless data extraction, transformation, and loading for businesses, integrating with key AWS services, allowing efficient data pipeline automation. It's valued for a user-friendly GUI, scalability, and cost-effectiveness, supporting PySpark for complex datasets and includes a robust data catalog, real-time backup capabilities, and code generation. Despite its strengths, improvements are needed in documentation, training, and broader programming language support. Users face challenges with its complex interface and integration with non-AWS products, driving demand for enhancements in its usability and performance.

What are AWS Glue's most important features?

Seamless AWS Integration: Connects effortlessly with services like S3, Redshift, and Athena.
Serverless Operation: Removes the need for infrastructure management.
Flexible Data Format Handling: Supports various data formats for comprehensive data management.
User-Friendly GUI: Simplifies the creation and management of ETL jobs.
Data Catalog: Provides an organized repository for metadata management.
Real-Time Data Backup: Ensures data integrity and availability.
Code Generation: Facilitates easy script generation for data processes.

What benefits or ROI should users look for in reviews?

Cost Efficiency: Reduced operational costs through serverless architecture.
High Performance: Efficient data processing and transformation capabilities.
Scalability: Adapts to businesses' evolving data demands.
Ease of Use: Intuitive interface allowing streamlined ETL workflows.
Automation: Simplified data pipeline tasks saving time and effort.

Businesses leverage AWS Glue in industries for ETL processes, data integration, and transformation. It is used to optimize data lakes or warehouses integration, enhancing data cataloging and real-time integration. Its serverless feature enables efficient data processing in sectors like finance and healthcare, where handling complex data-intensive tasks is crucial.

Amazon Web Services (AWS)

Sample Customers

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

Buyer's Guide

Cloud Data Integration

October 2026

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