AWS Glue vs Talend Data Integration comparison

Amazon Web Services (AWS) and Talend are both solutions in the Cloud Data Integration category. Amazon Web Services (AWS) is ranked #1 with an average rating of 7.6, while Talend is ranked #18 with an average rating of 9.0. Amazon Web Services (AWS) holds a 20.5% mindshare in CDI, compared to Talend’s 0.9% mindshare. Additionally, 90% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Talend users who would recommend it.

AWS Glue

Read 49 AWS Glue reviews

6,745 Views
5,190 Comparison Views

90% willing to recommend

Talend Data Integration

Read 5 Talend Data Integration reviews

225 Views
169 Comparison Views

100% willing to recommend

AWS Glue

Talend Data Integration

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Executive SummaryUpdated on Mar 31, 2025

Talend Data Integration and AWS Glue are competitors in the data integration category. AWS Glue seems to have an upper hand due to its seamless integration with other AWS services, while Talend is appreciated for its pricing and support.

Features: Talend Data Integration offers robust ETL capabilities, flexible data transformations, and a wide library of connectors. AWS Glue is known for its serverless architecture, deep integration with AWS services, and automated data cataloging.

Room for Improvement: Talend could benefit from improved cloud-based deployment options and a more streamlined upgrade process. AWS Glue users might seek enhancements in learning resources and support for diverse coding languages, and a simplified user interface.

Ease of Deployment and Customer Service: Talend provides versatile deployment options along with dedicated assistance. AWS Glue offers cloud-based deployment without setup hassles but relies heavily on its online documentation and cloud support options.

Pricing and ROI: Talend offers a perpetual licensing model that is cost-effective for long-term needs. AWS Glue uses a pay-as-you-go pricing model that allows for cost-effective scalability and rapid ROI for variable data processing demands.

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

Buyer's Guide

AWS Glue vs. Talend Data Integration

April 2025

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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 Glue

Ranking in Cloud Data Integration

1st

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Talend Data Integration

Ranking in Cloud Data Integration

18th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Integration Platform as a Service (iPaaS) (13th)

Mindshare comparison

As of May 2025, in the Cloud Data Integration category, the mindshare of AWS Glue is 20.5%, down from 21.9% compared to the previous year. The mindshare of Talend Data Integration is 0.9%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration

Featured Reviews

Saurabh Jaiswal

Python AWS & AI Expert at a tech consulting company

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.

Read full review

AntonioFonseca

Superintendente de TI (CIO) at a insurance company with 201-500 employees

Easy-to-use product with the ability to generate code efficiently

Talend's most valuable feature is its ability to generate code and packages efficiently. This feature streamlines the integration process, saving developers time and effort. Additionally, the stability of the generated code is noteworthy, as it ensures reliability over time. Despite not always producing the most aesthetically pleasing code, it eliminates critical errors, reducing the burden on developers. This stability is particularly crucial in complex integration scenarios, where errors can have significant consequences.

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

"One aspect that I would like to highlight is the Glue Crawler, which we utilize when working with large datasets to ensure the schema updates seamlessly without requiring end-team knowledge."

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

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

"The AWS Glue Data Catalog provides metadata management and schema discovery. AWS Glue simplifies data transformation with automatic schema detection, incremental data updates, and integration with other AWS services."

"AWS Glue's most valuable features are the data catalog, including crawlers and tables, and Glue Studio, which means you don't have to use custom code."

"It's very good to manage."

"The solution’s most valuable feature is the ETL job."

"We have found it beneficial when moving data from one source to another."

More AWS Glue pros

"The product's integration with PostgreSQL and Jira has been helpful for us. Its performance is good. However, we do not use it for large data sets."

"We have multiple use cases for this solution. We integrate with Salesforce, SAP and Oracle databases to build business logic and provide reporting."

"I'm very passionate about this solution because if you look at any other tool that costs around $200 - $300,000, like Delphix which costs you a million dollars, Talend is very cheap and is almost is at par with what others can do. There is one thing which Delphix does which Talend cannot do, but overall, I would say apart from that, if you're looking for a solution, you should give it a try."

"Talend's most valuable feature is its ability to generate code and packages efficiently."

"Talend Data integration has a wide library of connectors."

Cons

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

"The solution should offer features for streaming data in addition to batching data."

"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."

"Setting up pipelines is challenging, especially with version control and testing requirements."

"The process of entering environment variables in AWS Glue requires navigating to a different page, which could be streamlined."

"The crucial problem with AWS Glue is that it only works with AWS. It is not an agnostic tool like Pentaho. In PowerCenter, we can install the forms from Google and other vendors, but in the case of AWS Glue, we can only use AWS."

"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."

More AWS Glue cons

"The product's setup process could be simpler."

"The tool's technical support needs to be better. It doesn't have a local data center but pushes everything to the cloud. They need to check in with customers to see if they're happy and how well the solutions work. They need to assign a customer success manager for the accounts they sell."

"There are no concurrent licenses, they only have seat licenses on cloud. That's the whole challenge. For example, if in any project your headcount increases or decreases, you do not have that concurrence and you have a seat license, you run into challenges because you have to procure a few more licenses for getting the job done."

"Sometimes there are bugs which are unidentified and we have to follow-up with the Talend team to resolve them. In a critical situation, it takes time for them to update patches."

"Due to using the open-source version of Talend Data Integration, which lacks a scheduler, our current approach involves developing jobs in Talend, exporting them as Java packages, and utilizing an external scheduler, such as Windows Scheduler, to manage the scheduling process."

Pricing and Cost Advice

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

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

"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 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."

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

"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."

"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."

"It is an expensive product. I rate its pricing a nine out of ten."

More AWS Glue pricing and cost advice

"The product pricing is considered very good, especially compared to other data integration tools in the market."

"I have been using the open-source version."

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

13%

Manufacturing Company

Government

Computer Software Company

13%

Financial Services Firm

12%

Retailer

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...

See all answers

What do you like most about Talend Data integration?

The product's integration with PostgreSQL and Jira has been helpful for us. Its performance is good. However, we do not use it for large data sets.

See all answers

What is your experience regarding pricing and costs for Talend Data integration?

The product pricing is considered very good, especially compared to other data integration tools in the market.

See all answers

What needs improvement with Talend Data integration?

The product's setup process could be simpler.

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

SnapLogic vs AWS Glue

Compared 5% of the time

Oracle Integration Cloud Service vs AWS Glue

Compared 5% of the time

Talend Open Studio vs AWS Glue

Compared 5% of the time

More AWS Glue Competitors

SSIS vs Talend Data Integration

Compared 24% of the time

Talend Open Studio vs Talend Data Integration

Compared 24% of the time

SAP Cloud Platform vs Talend Data Integration

Compared 16% of the time

Oracle Data Integrator (ODI) vs Talend Data Integration

Compared 10% of the time

More Talend Data Integration Competitors

Product Reports

Buyer's Guide

AWS Glue

May 2025

Download AWS Glue product report

Buyer's Guide

Integration Platform as a Service (iPaaS)

May 2025

Download Talend Data Integration product report

Also Known As

No data available

Talend Cloud Integration, Talend Integration Cloud, Talend Cloud Remote Engine for AWS

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)

Talend Data Integration efficiently handles data transformation and integration with ease, supporting complex business needs. It enables seamless data management across all sources.

Talend Data Integration offers a robust platform for managing and transforming data. It connects disparate systems, enabling data flow across various environments. Users benefit from its ability to streamline processes and improve data accuracy. Its user-friendly interface and flexibility make it a preferred choice for data integration experts.

What are the key features of Talend Data Integration?

Data Transformation: Easily transforms diverse data formats to meet specific demands.
Real-time Data Integration: Facilitates immediate data flow for timely decision-making.
Scalability: Supports growing data volumes without compromising performance.
Data Quality Tools: Ensures high-quality data through built-in cleansing and profiling tools.

What benefits should be considered when evaluating Talend Data Integration?

Improved Efficiency: Streamline data processes, reducing time and resource expenditure.
Cost Savings: Minimize manual data handling and associated costs.
Enhanced Accuracy: Benefit from precise data insights due to robust data quality measures.
Flexibility: Cater to diverse data management needs, ensuring future adaptability.

In finance, Talend Data Integration enhances transaction data processing and compliance reporting. In healthcare, it ensures accurate patient data management, while in retail, it optimizes inventory and customer data analysis. Its adaptability makes it valuable across multiple sectors, addressing specific industry requirements.

Talend

Sample Customers

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

ACCOR, ADR, L'OREAL, AstraZeneca

Buyer's Guide

AWS Glue vs. Talend Data Integration

April 2025

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