--- title: AWS Glue Reviews meta\_title: 'AWS Glue Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter 202 reviews by the users' company size, role or industry to find out how AWS Glue works for a business like yours. aggregate\_rating: rating\_value: 4.3 review\_count: 202 scale: '5' date\_modified: '2026-08-07' parent\_category: name: Cloud Data Integration url: https://www.g2.com/categories/cloud-data-integration ---

# AWS Glue Reviews & Product Details

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AWS Glue is a serverless data integration service that makes it easier for analytics users to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning, and application develop-ment. You can discover and connect to 70+ diverse data sources, manage your data in a centralized data catalog, and visually create, run, and monitor ETL pipelines to load data into your data lakes. You can im-mediately search and query catalogued data using Amazon Athena, Amazon EMR, and Amazon Redshift Spectrum.

* * *

Product Website
AWS Glue
Seller
[Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
Discussions
[AWS Glue Community](https://www.g2.com/products/aws-glue/discuss)
Languages Supported

German, English, Japanese, Portuguese, Spanish

Solution Type

All-in-One

Overview by
Colleen Quinn (Marketing | Strategy | Product Development | Digital Media)

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## Value at a Glance

Averages based on real user reviews.

### Time to Implement

3 months

### Return on Investment

16 months

[
View More Pricing Information
](https://www.g2.com/products/aws-glue/pricing)

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## User Insights

Average based on 202 real user reviews.

Implementation Time

3 months

Perceived Cost

$$$$$

[Log in to unlock pricing and user insights](/login)

## AWS Glue Integrations
(3)

What do users say about integrations?

Integration information sourced from real user reviews.

[

 ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image")

Amazon Athena

](https://www.g2.com/products/amazon-athena/reviews)[

 ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image")

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](https://www.g2.com/products/aws-step-functions/reviews)[

 ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image")

Databricks

](https://www.g2.com/products/databricks/reviews)

Show More

 ![Pradip G.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Pradip G.")
PG

Pradip G.

Technology Lead

Computer Software

Enterprise (\> 1000 emp.)

2/19/2026

"AWS Glue Makes ETL Simple with Serverless Scalability and Deep AWS Integration"

4.5/5

What do you like best about AWS Glue?

AWS Glue simplifies ETL with its serverless architecture and tight integration with the AWS ecosystem. The built-in Data Catalog, schema discovery, and job automation features reduce operational overhead. It is highly scalable, cost-effective, and suitable for both batch and streaming workloads. Review collected by and hosted on G2.com.

What do you dislike about AWS Glue?

One downside of AWS Glue is the job startup time, which can be slow for small workloads. Debugging Spark jobs is sometimes difficult, especially when logs are not very clear. Cost can increase if jobs are not optimized properly. Also, the UI can feel limited for complex transformations compared to full-scale Spark development Review collected by and hosted on G2.com.

What problems is AWS Glue solving and how is that benefiting you?

AWS Glue is solving the problem of managing and transforming large amounts of data from multiple sources. Earlier, setting up ETL infrastructure required servers and manual maintenance. With AWS Glue, we can automate data ingestion, transformation, and cataloging without managing infrastructure. This benefits us by reducing operational effort, improving data reliability, and enabling faster analytics through services like Athena and Redshift

In our DevOps workflow, we manage AWS Glue resources entirely through Terraform. We’ve deployed several Glue Jobs (Spark-based) to handle partitioned data in our S3 data lake. Using Glue's serverless nature helps us avoid the overhead of managing a dedicated EMR cluster while maintaining high scalability for our monthly batch processing Review collected by and hosted on G2.com.

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4/20/2026
Current UserValidated ReviewerIncentivizedSource: G2 invite

MS

mani s.

data engineer

Enterprise (\> 1000 emp.)

5/24/2026

"Serverless ETL Made Easy with AWS Glue"

5/5

What do you like best about AWS Glue?

The best thing I like about AWS Glue is that it provides serverless ETL capabilities without having to manage infrastructure. AWS Glue also supports schema enforcement through the Glue Data Catalog. It’s easy to integrate with S3 and Athena seamlessly. It also supports PySpark for big data processing, which is another reason I like AWS Glue. Review collected by and hosted on G2.com.

What do you dislike about AWS Glue?

I don’t have any major dislikes about AWS Glue. Overall, it’s a good tool and has worked well for what I need. Review collected by and hosted on G2.com.

What problems is AWS Glue solving and how is that benefiting you?

AWS Glue solves problems like ETL automation and schema enforcement very easily. For me, it mainly addresses the manual effort of ETL pipeline creation and ongoing maintenance. Another major problem it solves is integration: it can connect to multiple data sources without much hassle. It also eliminates server management thanks to its serverless architecture. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerIncentivizedSource: G2 invite

 ![Sujith C.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Sujith C.")
SC

Sujith C.

Senior Software Developer

Mid-Market (51-1000 emp.)

5/20/2026

"Cloud native, Serverless, Scalable, and Easy Setup for Python ETL"

4/5

What do you like best about AWS Glue?

Serverless service.

Scalable (based on number of workers).

Easy setup. Can start with simple Python script.

Abstracts away some of the complexities of PySpark. Review collected by and hosted on G2.com.

What do you dislike about AWS Glue?

Single script file based - It is difficult to deploy modular code on Glue. There are options to zip and link. But the UI only displays entrypoint file. could have been much better if it was similar to lambda functions in terms of deployment and packaging.

Auto scaling sometimes doesn't work as expected. Unexpected compute usage even when running single threaded low compute tasks.

No direct integration with Event bridge.

Logging is problematic. By default, all jobs uses one log group. Difficult to parse logs. Review collected by and hosted on G2.com.

What problems is AWS Glue solving and how is that benefiting you?

Abstracts server setup for ETL tasks. Flexible and cost effective ETL solution. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerIncentivizedSource: G2 invite

 ![Caleb F.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Caleb F.")
CF

Caleb F.

Data &amp; IA Specialist

Mid-Market (51-1000 emp.)

3/10/2026

"AWS Glue: Scalable and automated ETL with seamless integration into the AWS ecosystem"

4.5/5

What do you like best about AWS Glue?

What I value most about AWS Glue is that it allows building and automating ETL processes within the AWS ecosystem without having to manage infrastructure directly. The integration with services like S3, Athena, IAM, Glue Data Catalog, and Step Functions greatly facilitates the orchestration of data pipelines. It is also useful to be able to work with jobs in PySpark and maintain a more scalable architecture for data processing and transformation. In general, it reduces operational effort and speeds up the implementation of pipelines in cloud environments. Review collected by and hosted on G2.com.

What do you dislike about AWS Glue?

What I like the least is that debugging errors is not always straightforward, especially in jobs with PySpark or when configuration issues related to permissions, network, or catalogs arise. The learning curve can also be somewhat steep if you don't have prior experience with data services in AWS. Additionally, some startup and execution times can feel heavy for small loads, and monitoring could be clearer in certain scenarios. Review collected by and hosted on G2.com.

What problems is AWS Glue solving and how is that benefiting you?

AWS Glue helps us address the need to extract, transform, and load data from different sources into a centralized analytical architecture. In particular, it allows for data standardization, automation of recurring processes, and reduction of manual work in integration pipelines. The main benefit is that it improves data flow traceability, facilitates information preparation for analysis and dashboards, and allows processes to scale without relying on manually managed servers. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerIncentivizedSource: G2 inviteAI Translated

 ![Atharva P.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Atharva P.")
AP

Atharva P.

Cloud BI Engineer

Enterprise (\> 1000 emp.)

5/19/2026

"Efficient Data Management with Serverless Power, But Debugging Needs Work"

4/5

What do you like best about AWS Glue?

I appreciate AWS Glue's serverless model and data catalog because it makes it easy to process large datasets and maintain metadata without managing clusters manually. Its serverless architecture simplifies building ETL workflows without worrying about infrastructure, which is fantastic for data integration, especially when working within the AWS ecosystem. The crawler and catalog features are particularly useful as they automate schema discovery and metadata management. Schema inference and automated data discovery through crawlers significantly reduce manual setup and simplify onboarding new datasets. These features help in managing metadata efficiently and automatically infer new data schemas when data gets loaded to our storage bucket. Review collected by and hosted on G2.com.

What do you dislike about AWS Glue?

Debugging complex jobs can sometimes be difficult. Especially when working with large part-based transformations, job startup time can also add latency and troubleshooting failures occasionally requires checking multiple logs and configurations. Review collected by and hosted on G2.com.

What problems is AWS Glue solving and how is that benefiting you?

AWS Glue solves data integration and ETL orchestration challenges by automating data discovery, transformation, and movement, reducing manual effort and improving pipeline reliability. Review collected by and hosted on G2.com.

Show More

Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise.G2 IconValidated ReviewerIncentivizedSource: G2 invite

 ![akhil k.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "akhil k.")
AK

akhil k.

Senior Engineer

Enterprise (\> 1000 emp.)

3/12/2026

"AWS Glue’s Catalog and Crawlers Make Full and Incremental Loads Easy"

5/5

What do you like best about AWS Glue?

The catalog and the crawling services that Glue has make it very easy to design both full and incremental loads. it is very easy and everything can be done from the AWS Glue UI screen itself, thats the best part. Review collected by and hosted on G2.com.

What do you dislike about AWS Glue?

We have millions of databases and millions of tables in each database, and it’s very difficult to search and get to the table we’re looking for because Glue only shows the first 100 records. As a result, this takes a lot of time, and consumers have to wait until it’s done. Review collected by and hosted on G2.com.

What problems is AWS Glue solving and how is that benefiting you?

AWS Glue Data Catalog and AWS Glue Crawlers are the primary features of Glue that we’re leveraging right now. We also use the Glue metastore to process and write our big data pipelines. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

 ![Alankrita P.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Alankrita P.")
AP

Alankrita P.

Software Engineer

Information Technology and Services

Enterprise (\> 1000 emp.)

12/20/2025

"A Reliable Serverless ETL Tool for Scalable Data Processing"

4/5

What do you like best about AWS Glue?

What I like most about AWS Glue is that it is a fully managed ETL service, so there is very little infrastructure to worry about. It integrates seamlessly with other AWS services like S3, Athena, Redshift, and Lake Formation, which makes data movement and transformation very smooth. The Glue Data Catalog is especially useful because it automatically discovers and organizes data, saving a lot of manual effort. The serverless nature and auto-scaling also help optimize costs since we only pay for what we use. Review collected by and hosted on G2.com.

What do you dislike about AWS Glue?

One challenge with AWS Glue is the learning curve, especially for beginners who are new to Spark or AWS services. Debugging Glue jobs can sometimes be difficult because the error messages are not always very clear. Job startup time can also feel a bit slow for smaller workloads. Additionally, costs can increase quickly if jobs are not optimized properly, so monitoring and tuning are important. Review collected by and hosted on G2.com.

What problems is AWS Glue solving and how is that benefiting you?

AWS Glue solves the problem of managing complex ETL pipelines and infrastructure by providing a serverless, scalable solution. It reduces the time and effort required to build and maintain data pipelines, allowing the team to focus more on data analysis and insights rather than operations. Automated schema discovery and centralized metadata management improve data consistency and accessibility. Overall, it helps speed up data processing, improve reliability, and reduce operational overhead. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

 ![Jayalakshmi D.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Jayalakshmi D.")
JD

Jayalakshmi D.

Senior Customer success Executive

Mid-Market (51-1000 emp.)

1/20/2026

"Simplifies Data Discovery and Preparation with Strong Quality & Schema Management"

4.5/5

What do you like best about AWS Glue?

It simplifies discovering, preparing, and combining data for analytics, machine learning, and application development and provides features like data quality, schema management . Review collected by and hosted on G2.com.

What do you dislike about AWS Glue?

It gets start-up times, complex debugging processes. sometimes taking several minutes to start. Review collected by and hosted on G2.com.

What problems is AWS Glue solving and how is that benefiting you?

AWS Glue automatically provisions and scales compute resources based on workload. This reduces operational burden, lowers costs by eliminating idle capacity, and ensures high availability. Making data immediately query able by services like Amazon Athena. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

 ![Anshul J.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Anshul J.")
AJ

Anshul J.

Analyst 

Mid-Market (51-1000 emp.)

11/19/2024

"My experience with AWS Glue"

4/5

What do you like best about AWS Glue?

Easy to trace the error in the script through runs.

My team build a framework to fetch data from different platform through AWS Glue and stores them in S3 in the file format mention by us. That make our integration and fetching data a lot easier.

Sppourt frequent data load.

It is easy to implement.

Good customer support. Review collected by and hosted on G2.com.

What do you dislike about AWS Glue?

Many a time I face server/connectivity issue when using glue and our job get blocked due to that.

Does not support xml file formats. Review collected by and hosted on G2.com.

What problems is AWS Glue solving and how is that benefiting you?

I used Glue to fetch data according to my sql query from differeent servers and store it S3 in my defined file format. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerIncentivizedSource: G2 invite

 ![Sourab S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Sourab S.")
SS

Sourab S.

Data Analyst

Small-Business (50 or fewer emp.)

3/8/2025

"Glue- Best Integration Tool"

5/5

What do you like best about AWS Glue?

Absolutly love Glue for its functionality. Provides everything needed Review collected by and hosted on G2.com.

What do you dislike about AWS Glue?

The legacy version is now not accesible. Also, the documenttation could be beeter. Review collected by and hosted on G2.com.

What problems is AWS Glue solving and how is that benefiting you?

Intergration Tool and helps me colate data from multiple sources conveinely. the crawlers help me catalog with ease. Review collected by and hosted on G2.com.

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Validated ReviewerSource: Thank You page

## Questions about AWS Glue? Ask real users or explore answers from the community

Get practical answers, real workflows, and honest pros and cons from the G2 community or share your insights.

[
Ask about AWS Glue
](https://www.g2.com/products/aws-glue/discussions/new)

GU

Guest User
•
Last activity over 3 years ago

What is AWS Glue and how it works?

0 Upvotes

1

[
Join the conversation
](https://www.g2.com/discussions/what-is-aws-glue-and-how-it-works)

GU

Guest User
•
Last activity over 2 years ago

What does AWS Glue do?

0 Upvotes

2

[
Join the conversation
](https://www.g2.com/discussions/what-does-aws-glue-do)

[
View all Discussions
](https://www.g2.com/products/aws-glue/discuss)

## Pricing Insights

Averages based on real user reviews.

### Time to Implement

3 months

### Return on Investment

16 months

### Average Discount

13%

[
View More Pricing Information
](https://www.g2.com/products/aws-glue/pricing)

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##### 
##### AWS Glue Features

Data Source Access

Breadth of Data Sources

Ease of Data Connectivity

Data Interaction

Profiling and Classification

Metadata Management

Data Modeling

Data Exporting

Data Workflows

Management

Reporting

[
View More Features
](https://www.g2.com/products/aws-glue/features)

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