AWS Glue vs Toad Data Point comparison

Amazon Web Services (AWS) and Quest Software are both solutions in the Cloud Data Integration category. Additionally, 90% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Quest Software users who would recommend it.

AWS Glue

Read 49 AWS Glue reviews

7,339 Views
5,504 Comparison Views

90% willing to recommend

Toad Data Point

Read 5 Toad Data Point reviews

559 Views
442 Comparison Views

100% willing to recommend

AWS Glue

Toad Data Point

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between AWS Glue and Toad Data Point based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed AWS Glue vs. Toad Data Point Report (Updated: April 2025).

Buyer's Guide

AWS Glue vs. Toad Data Point

April 2025

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Helped 850,028 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 Glue

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Integration (1st)

Toad Data Point

Average Rating

9.0

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

Data Integration (29th), Data Preparation Tools (5th)

Featured Reviews

Muthuvel Sivaraman

AVP at a manufacturing company with 10,001+ employees

Handles a huge volume of data and is serverless, but it can be considered costly by some users

We use Amazon's services to provide technical support for the product. If you want to have support, Oracle and others offer a single support, and other tools have a direct support window. For Amazon, we need to pay 10 percent of my billing amount for the tool to get support services. Whether to raise a support ticket or not is an issue since ten percent is a huge amount. My company ends up using all the options without help from support. It is very difficult for any common man to understand why there is a need to pay ten percent for support. If I find an issue in the product, and I need to get support from AWS to fix it, then I need to pay ten percent of the tool's bill amount to Amazon. AWS is a very tricky tool because everything is evolving nowadays. AWS engineers are getting hired from other places, and even after that, if I am not getting any technical support, then things will be very nasty. There are some good engineers who help users outside the normal support cycle, but it doesn't meet their needs. I rate the technical support a four out of ten.

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Aaron Payne

ERP Manager at a tech services company with 5,001-10,000 employees

Offers power developers the tooling they need

I am not the end user of this solution. I am not close enough to it because I manage the platform that it runs against. The end users who use the Toad tool come against the database that my team manages, so it is hard for me to provide any area for improvement when it comes to the Toad tool. However, in the administration case, cost is a significant issue. The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version. Scalability is difficult when it is that costly.

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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

"It is AWS-integrated. There is end-to-end integration with the other AWS services. It is also user-friendly."

"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."

"AWS Glue's most valuable features include its transformation capabilities, which provide data quality and shape for processing in ML or AI models."

"The most valuable feature of AWS Glue is scalability."

"AWS Glue is quite better than other tools, but you have to learn it properly before you start using it."

"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."

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

"The facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features."

More AWS Glue pros

"I have never experienced any issues with customer service."

"The best thing about it is its automation features."

"With Toad Data Point, I can automate most steps automatically."

"One of the greatest features is that you can get data from anywhere to anywhere with Toad Data Point."

"The most valuable features of Toad Data are you could write a parameterized query and it wouldn't error out, it would give you the parameters that you could input. The auto-formatting feature is useful because it was great for keeping your queries neat and understandable. The auto comment, and uncomment toggles that you could do were convenient."

"It provides better SQL development tooling than SQL Developer, which is not a sufficient tool for all development use cases. It offers power developers the tools they need."

"The Connectivity and Connection Manager supports a broad number of connection types, and it is trivial for end-users to set up their own connections to sources."

"We love it."

Cons

"Overall, I consider the technical support to be fine, although the response time could be faster in certain cases."

"The interface for AWS Glue could improve, they do not put a lot of details. You can write the code, in PySpark or in Scala, which is a big advantage, it is only easy to use for a developer. It will be difficult for new users to enter the cloud environment."

"The mapping area and the use of the data catalog from Glue could be better."

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

"Improvements in the UI are needed, as it is challenging to understand some functionalities."

"Only people who can code, either in Java or Python, can use the product freely. Those who don't know Java or Python might find using AWS Glue difficult."

"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."

"If there's a cluster-related configuration, we have to make worker notes, which is quite a headache when processing a large amount of data."

More AWS Glue cons

"I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky."

"It's not user-friendly. Once you start using it, you eventually get to know the features."

"The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version."

"On the scheduling server, some scheduled reports just sit there and never execute for the first time. After manually executing the first time, they run with no issues."

"The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version. Scalability is difficult when it is that costly."

"I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky."

"It's not user-friendly. Once you start using it, you eventually get to know the features."

"Toad Data could improve by having additional features, such as query prediction. This could help someone who's not the strongest programmer. If the software could help them write queries correctly it would be very helpful, especially for small development teams or teams that lack the input skills necessary to write and program efficiently."

Pricing and Cost Advice

"I rate the tool's pricing a four out of ten."

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

"AWS Glue is a high-priced solution that bills the client $150,000 to $250,000 annually."

"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."

"I rate the tool an eight on a scale of one to ten, where one is expensive, and ten is expensive."

"The current cost is around forty to fifty thousand a month."

"The pricing is a bit higher than other solutions like Athena and EC2. If the pricing becomes more scaled or flexible, it will be good because you have to pay 44 cents just for one DPU for an hour. If you increase DPUs to 5 or 10, the pricing gets multiplied. There are also some time limits like 0 to 10 minutes or 10 to 20 minutes. If the pricing is according to the minutes, it would be better because you have to limit your job to 10 minutes or 20 minutes."

"I rate pricing an eight out of ten."

More AWS Glue pricing and cost advice

"The cost of this product is reasonable."

"The price of Toad Data Point was approximately $500 annually."

"The Mac licenses are expensive, costing 1,600 dollars each. This is much higher than for the Windows version. I maintain a very limited number of licenses due to this cost."

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Top Industries

By visitors reading reviews

Financial Services Firm

22%

Computer Software Company

13%

Manufacturing Company

Government

Financial Services Firm

36%

Healthcare Company

13%

Government

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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.

See all answers

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...

See all answers

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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What is your experience regarding pricing and costs for Toad Data Point?

The pricing for Toad Data Point is where it gets into trouble. Microsoft is free, so if you get SQL Server, you get all the other stuff with it. You have to use several Microsoft tools that don't a...

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What needs improvement with Toad Data Point?

I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky.

See all answers

What is your primary use case for Toad Data Point?

When I use it, I'm using it for writing SQL or testing SQL code. I used to use it for moving data, loading files into database tables, from tables to other tables.

See all answers

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Compared 36% of the time

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Compared 5% of the time

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Compared 5% of the time

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Compared 5% of the time

Talend Open Studio vs AWS Glue

Compared 5% of the time

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Compared 23% of the time

WhereScape RED vs Toad Data Point

Compared 18% of the time

Teradata vs Toad Data Point

Compared 16% of the time

Oracle Data Integrator (ODI) vs Toad Data Point

Compared 14% of the time

SSIS vs Toad Data Point

Compared 14% of the time

More Toad Data Point Competitors

Product Reports

Buyer's Guide

AWS Glue

April 2025

Download AWS Glue product report

Buyer's Guide

Toad Data Point

April 2025

Download Toad Data Point product report

Overview

AWS Glue is a serverless cloud data integration tool that facilitates the discovery, preparation, movement, and integration of data from multiple sources for machine learning (ML), analytics, and application development. The solution includes additional productivity and data ops tooling for running jobs, implementing business workflows, and authoring.

AWS Glue allows users to connect to more than 70 diverse data sources and manage data in a centralized data catalog. The solution facilitates visual creation, running, and monitoring of extract, transform, and load (ETL) pipelines to load data into users' data lakes. This Amazon product seamlessly integrates with other native applications of the brand and allows users to search and query cataloged data using Amazon EMR, Amazon Athena, and Amazon Redshift Spectrum.

The solution also utilizes application programming interface (API) operations to transform users' data, create runtime logs, store job logic, and create notifications for monitoring job runs. The console of AWS Glue connects all of these services into a managed application, facilitating the monitoring and operational processes. The solution also performs provisioning and management of the resources required to run users' workloads in order to minimize manual work time for organizations.

AWS Glue Features

AWS Glue groups its features into four categories - discover, prepare, integrate, and transform. Within those groups are the following features:

Automatic schema discovery: AWS Glue crawlers connect to the organization's source or target data source through a prioritized list of classifiers to determine the schema for users' data. This feature creates metadata in companies' AWS Glue Data Catalog.
Schemas for data stream management: The AWS Glue Schema Registry enables users to validate and control the evolution of streaming data through registered Apache Avro schemas for no additional charge.
Automatic scaling based on workload: This feature dynamically scales resources up and down based on workload. The feature controls job resources, removing them depending on how much the workload can be split up.
FindMatches: This feature is for machine learning-based data deduplication and cleansing, and works by finding records that are imperfect matches of each other to remove useless data copies.
Edit, debug, and test ETL code: This feature helps users who have chosen to interactively develop their ETL code by providing development endpoints for editing, debugging, and testing the code it generates for them.
AWS Glue DataBrew: An interactive, point-and-click visual interface for specialists to clean and normalize data without the need to write any code.
AWS Glue Interactive Sessions: This feature simplifies the development of data integration jobs by enabling data engineers to interactively prepare and explore data.
AWS Glue Studio Job Notebooks: This AWS Glue feature provides serverless notebooks with minimal setup, allowing developers to start working in a timely manner.
Complex ETL pipeline building: This feature allows the product to be invoked on a schedule, on demand, or based on an event, allowing users to start multiple jobs in parallel or specify dependencies to build complex ETL pipelines.
AWS Glue Studio: This AWS Glue feature allows users to visually transform data through a drag-and-drop interface. The product automatically generates the code for ETL processes for users' data.

AWS Glue Benefits

AWS Glue offers a wide range of benefits for its users. These benefits include:

Users of other AWS products can easily onboard with AWS Glue, as it is integrated across a wide range of the company's services.
The solution is serverless, which allows for a lower total cost of ownership.
AWS Glue offers more power for users, as it automates much of the effort in building, maintaining, and running ETL jobs.
The product allows customers to easily discover and search across all their AWS datasets through AWS Glue Data Catalog.
AWS Glue does not require additional payment for managing and enforcing schemas for data streams.
The solution facilitates the authority of scalable ETL jobs for beginners and non-coding experts through a drag-and-drop interface.

Reviews from Real Users

Mustapha A., a cloud data engineer at Jems Groupe, likes AWS Glue because it is a product that is great for serverless data transformations.

Liana I., CEO at Quark Technologies SRL, describes AWS Glue as a highly scalable, reliable, and beneficial pay-as-you-go pricing model.

Amazon Web Services (AWS)

Toad Data Point is a cross-platform, self-service, data-integration tool that simplifies data access, preparation and provisioning. It provides nearly limitless data connectivity, desktop data integration, visual query building and workflow automation.

Quest Software

Sample Customers

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

Concordia University

Buyer's Guide

AWS Glue vs. Toad Data Point

April 2025

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