AWS Glue vs Stitch comparison

Amazon Web Services (AWS) and Qlik are both solutions in the Cloud Data Integration category. Amazon Web Services (AWS) is ranked #1 with an average rating of 7.4, while Qlik is ranked #30. Amazon Web Services (AWS) holds a 10.9% mindshare in CDI, compared to Qlik’s 0.8% mindshare. Additionally, 90% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Qlik users who would recommend it.

AWS Glue

Read 50 AWS Glue reviews

6,826 Views
4,369 Comparison Views

90% willing to recommend

Stitch

Read 2 Stitch reviews

301 Views
154 Comparison Views

100% willing to recommend

AWS Glue

Stitch

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Nov 18, 2025

AWS Glue and Stitch compete in data integration and ETL services. AWS Glue seems to have the advantage in scalability and integration with AWS services, while Stitch is more attractive for smaller businesses with its streamlined offerings and flexible pricing.

Features: AWS Glue offers serverless architecture, automated schema discovery, and data transformation tasks, integrating seamlessly with AWS services. Stitch prioritizes ease of use with a simple interface, robust support for a wide range of data sources, and quick data connectivity across platforms.

Ease of Deployment and Customer Service: AWS Glue may require more technical expertise for deployment with comprehensive yet formal customer support from AWS. Stitch provides straightforward deployment with intuitive processes and responsive customer support that facilitates quicker resolutions.

Pricing and ROI: AWS Glue operates on a pay-as-you-go model, suitable for large-scale operations, potentially offering high ROI in extensive AWS environments but with higher initial costs for smaller cases. Stitch offers flexible pricing that scales with usage, providing affordable entry points and optimizing ROI for smaller or budget-conscious businesses.

To learn more, read our detailed AWS Glue vs. Stitch Report (Updated: December 2025).

Buyer's Guide

AWS Glue vs. Stitch

December 2025

Download the complete report

Helped 879,259 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

Ranking in Cloud Data Integration

1st

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Stitch

Ranking in Cloud Data Integration

30th

Average Rating

7.0

Reviews Sentiment

5.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of December 2025, in the Cloud Data Integration category, the mindshare of AWS Glue is 10.9%, down from 20.0% compared to the previous year. The mindshare of Stitch is 0.8%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration Market Share Distribution
Product	Market Share (%)
AWS Glue	10.9%
Stitch	0.8%
Other	88.3%

Cloud Data Integration

Featured Reviews

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.

Read full review

reviewer2783532

Cloud Data Architect at a comms service provider with 10,001+ employees

Improved data management has reduced errors while consistent loads have saved weekly effort

I think the best feature Stitch offers is that it handles deleted records. Stitch's ability to handle deleted records is a standout feature for me because if a record is deleted at the source, I can easily track it with soft delete and all that functionality. Stitch has impacted my organization positively, as I have both positive and negative aspects with it. One positive aspect is that full loads are free, so whenever I see data issues, I can go for full loads. At the same time, I need to look at the limitations, such as API limits. Stitch has helped my organization achieve better data management, making it easier. Better data management means that Stitch helps my team access data faster and reduces errors.

Read full review

Quotes from Members

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

Pros

"The product has a valuable feature for data catalog."

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

"The solution is serverless so it allows us to transform data while optimizing the cost and performance of Spark jobs."

"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."

"The best thing about AWS Glue is its scalability and how easy it is to process a large amount of data."

"The two features I find most valuable in AWS Glue are its user interface and ease of use."

"The key role for Glue is that it hosts our metadata before rolling out our actual data. This is the major advantage of using this solution and our clients client have been very satisfied with it."

"It is a very scalable solution."

More AWS Glue pros

"Stitch has helped my organization achieve better data management, making it easier, as it helps my team access data faster and reduces errors."

"The most valuable feature of Stitch for us is ease of use. This solution is fire-and-forget. All an organization has to do is set up the connection or integration and move on."

Cons

"The price of the solution could improve."

"On occasion, the solution's dashboard reports that a project failed due to runtime but it actually succeeded."

"While working on AWS Glue, I could not find any training material for it."

"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 point for improvement in AWS Glue would be the dynamic allocation of resources while utilizing Lambda functions."

"I would like to see a more robust interface on the no-code side. This would be nice to be able to split cells."

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

"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."

More AWS Glue cons

"Generally speaking, support is a pain point. In the next release, I would love to see a change in support from the current chat to a more comprehensive portal."

"My experience with customer support for Stitch has been very bad."

Pricing and Cost Advice

"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."

"If you are using the solution for an enterprise business, it will be expensive."

"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."

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

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

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

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

More AWS Glue pricing and cost advice

Information not available

See which vendors are best for you

Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.

See recommendations

879,259 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

12%

Manufacturing Company

Government

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	6
Large Enterprise	32

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...

See all answers

What needs improvement with Talend Stitch?

I wish Stitch could handle changes and updates to data better. I think improvement is needed in the licensing process.

See all answers

What is your primary use case for Talend Stitch?

I have been using Stitch for the last five years. My main use case for Stitch is to ingest SFDC data and also Google Analytics, Facebook Ads, and GA4. I use Stitch as a data ingestion tool for SFDC...

See all answers

What advice do you have for others considering Talend Stitch?

I do not want to add more about the features of Stitch. I do not have any other improvements needed for Stitch that I have not mentioned yet. My advice to others looking into using Stitch is to con...

See all answers

Comparisons

AWS Database Migration Service vs AWS Glue

Compared 35% of the time

SSIS vs AWS Glue

Compared 5% of the time

Oracle Integration Cloud Service vs AWS Glue

Compared 5% of the time

Palantir Foundry vs AWS Glue

Compared 5% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs AWS Glue

Compared 4% of the time

More AWS Glue Competitors

Fivetran vs Stitch

Compared 58% of the time

More Stitch Competitors

Product Reports

Buyer's Guide

AWS Glue

December 2025

Download AWS Glue product report

Buyer's Guide

Cloud Data Integration

December 2025

Download Stitch product report

Also Known As

No data available

Talend Stitch ETL

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)

Stitch is a cloud-based ETL service designed to synchronize data between a variety of sources and destinations, offering robust and scalable data integration capabilities.

Stitch facilitates seamless data integration, providing users with real-time data movement across their tech stack. Its flexible architecture allows easy connectivity between diverse systems and ensures data consistency. With its user-friendly setup, Stitch empowers data teams to efficiently manage complex data workflows, enhancing decision-making and operational efficiency.

What are Stitch's most important features?

Data Extraction: Efficiently extracts data from numerous sources, ensuring smooth data flow across platforms.
Real-Time Data Sync: Offers synchronized data transfer to maintain up-to-date datasets.
Scalability: Supports growing data needs with scalable architecture.
Secure Data Transfer: Implements security practices ensuring data integrity during transfers.
API Access: Provides API connectivity for robust data pipeline customization.

What benefits and ROI should users look for when evaluating Stitch?

Improved Decision-Making: Enables timely and informed business decisions with real-time data accessibility.
Cost Efficiency: Reduces expenses associated with manual data integration processes.
Increased Productivity: Frees up IT resources by automating data movement, allowing teams to focus on strategic tasks.
Enhanced Data Accuracy: Minimizes errors through automated and consistent data integration processes.

In industries like e-commerce and finance, Stitch is instrumental in integrating data from sales platforms and financial systems to analytics tools. Retailers can combine online and offline sales data, while financial firms streamline data into centralized repositories, ensuring comprehensive analysis and reporting.

Qlik

Sample Customers

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

AB InBev, Accolade, Accor, AstraZeneca, Beachbody

Buyer's Guide

AWS Glue vs. Stitch

December 2025

Free Report: AWS Glue vs. Stitch

Find out what your peers are saying about AWS Glue vs. Stitch and other solutions. Updated: December 2025.

DOWNLOAD NOW

879,259 professionals have used our research since 2012.

See our AWS Glue vs. Stitch report.

See our list of best Cloud Data Integration vendors.

We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.