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AWS Glue vs Oracle Big Data SQL comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 3, 2024

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 Glue
Ranking in Cloud Data Integration
1st
Average Rating
7.8
Reviews Sentiment
6.9
Number of Reviews
50
Ranking in other categories
No ranking in other categories
Oracle Big Data SQL
Ranking in Cloud Data Integration
18th
Average Rating
8.6
Reviews Sentiment
7.6
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2025, in the Cloud Data Integration category, the mindshare of AWS Glue is 14.4%, down from 21.3% compared to the previous year. The mindshare of Oracle Big Data SQL is 0.6%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration Market Share Distribution
ProductMarket Share (%)
AWS Glue14.4%
Oracle Big Data SQL0.6%
Other85.0%
Cloud Data Integration
 

Featured Reviews

Saurabh Jaiswal - PeerSpot reviewer
Enables seamless integration and data preparation with robust transformation capabilities
AWS Glue's most valuable features include its transformation capabilities, which provide data quality and shape for processing in ML or AI models. It offers transformation options on canvas or through ETL pipelines, notebooks, and code. Additionally, it supports data preparation, cleaning, and filtering seamlessly. AWS Glue also enhances job scheduling and orchestration capabilities, integrating with AWS Glue Studio for comprehensive data workflow management.
Mohamed Moustafa - PeerSpot reviewer
Offers good scalability, strong stability and seamless integration
The user interface is really user-friendly and intuitive. It was a major plus. The integration process was smooth. Oracle's security is good and significantly better than that of other solutions I've encountered. Previously, we had separate data interfaces for 15 concrete mixing plants, requiring manual document creation in Oracle. Now, with integrated automation, production has become much easier and more efficient over the past three years.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"I also like that you can add custom libraries like JAR files and use them. So, the ability to use a fast processing engine and embed basic jobs easily are significant advantages."
"It is a very scalable solution."
"The most valuable feature of AWS Glue is its ease of use and good documentation. Additionally, we can do all the transformations that we need."
"Glue is a NoSQL-based data ETL tool that has some advantages over IIS and ISAs."
"The two features I find most valuable in AWS Glue are its user interface and ease of use."
"AWS Glue's most valuable features include its transformation capabilities, which provide data quality and shape for processing in ML or AI models."
"Its user interface is quite good. You just need to choose some options to create a job in AWS Glue. The code-generation feature is also useful. 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."
"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."
"The user interface is really user-friendly and intuitive."
"This solution can maintain a large volume of data and is flexible to what data it can handle. The performance is very good."
 

Cons

"While working on AWS Glue, I could not find any training material for it."
"Cost-wise, AWS Glue is expensive, so that's an area for improvement. The process for setting up the solution was also complex, which is another area for improvement."
"The drawbacks associated with the product stem from the fact that, based on the data volume, it can become very costly."
"Overall, I consider the technical support to be fine, although the response time could be faster in certain cases."
"Setting up pipelines is challenging, especially with version control and testing requirements."
"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 technical support for this solution could be improved. In future, we would like to connect more services like Athena or Kinesis to help control more loads of data."
"AWS Glue's error handling is difficult."
"There is room for improvement in the pricing."
"The solution could improve by adding more advanced features."
 

Pricing and Cost Advice

"It is an expensive product. I rate its pricing a nine out of ten."
"AWS Glue is a paid service that doesn't come under the free trial of AWS."
"Its price is good. We pay as we go or based on the usage, which is a good thing for us because it is simple to forecast for the tool. It is good in terms of the financial planning of the company, and it is a good way to estimate the cost. It is also simple for our clients. In my opinion, it is one of the best tools in the market for ETL processes because of the fact that you pay as you use, which separates it from other big tools such as PowerCenter, Pentaho Data Integration, and Talend."
"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 follows a pay-as-you-go model, wherein the cost of the data you use will be counted as a monthly bill."
"The current cost is around forty to fifty thousand a month."
"I rate the tool's pricing a four out of ten."
"I rate the product's pricing a five on a scale of one to ten, where one is a high price, and ten is a low price."
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
12%
Manufacturing Company
8%
Government
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise6
Large Enterprise32
No data available
 

Questions from the Community

How do you select the right cloud ETL tool?
AWS Glue and Azure Data factory for ELT best performance cloud services.
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...
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...
What do you like most about Oracle Big Data SQL?
The user interface is really user-friendly and intuitive.
What needs improvement with Oracle Big Data SQL?
There is room for improvement in the pricing.
What is your primary use case for Oracle Big Data SQL?
With Oracle Big Data SQL, I primarily managed data organization and structure. It helped streamline data within the system. I integrated Oracle with other systems. I worked with Oracle integrations...
 

Overview

 

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
Information Not Available
Find out what your peers are saying about AWS Glue vs. Oracle Big Data SQL and other solutions. Updated: September 2025.
869,566 professionals have used our research since 2012.