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 #17 with an average rating of 9.0. Amazon Web Services (AWS) holds a 21.3% mindshare in CDI, compared to Talend’s 0.8% mindshare. Additionally, 89% 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 48 AWS Glue reviews

7,339 Views
5,504 Comparison Views

89% willing to recommend

Talend Data Integration

Read 5 Talend Data Integration reviews

236 Views
176 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: March 2025).

Buyer's Guide

AWS Glue vs. Talend Data Integration

March 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

17th

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 April 2025, in the Cloud Data Integration category, the mindshare of AWS Glue is 21.3%, down from 21.7% compared to the previous year. The mindshare of Talend Data Integration is 0.8%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration

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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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

"AWS Glue is a stable and easy-to-use solution."

"I like its integration and ability to handle all data-related tasks."

"Transformations are valuable because you can modify or override complex data logic from an open source or Spark to solve issues."

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

"You do not need many frameworks to run Glue."

"It's very good to manage."

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

"It is a very scalable solution."

More AWS Glue pros

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

"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 Data integration has a wide library of connectors."

Cons

"The solution’s technical support could be improved."

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

"The product has only a few built-in transformations."

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

"The drawbacks associated with the product stem from the fact that, based on the data volume, it can become very costly."

"The start-up time is really high right now. For instance, when you start up a new job, you have to wait for five or eight minutes before it starts. If the start-up time is reduced to one or two minutes, it will be great. It will be better to have a direct linkage to Redshift in AWS. If we can use data catalogs from Redshift, it will be so easy to create some data catalogs. Currently, we can only use data catalogs from S3."

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

"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."

"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."

"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."

"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."

"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."

Pricing and Cost Advice

"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 overall cost of AWS Glue could be better. It cost approximately $1,000 a month. There is paid support available from AWS Glue."

"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."

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

"This solution is affordable and there is an option to pay for the solution based on your usage."

"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 pricing an eight 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."

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

22%

Computer Software Company

13%

Manufacturing Company

Government

Computer Software Company

14%

Financial Services Firm

11%

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 37% of the time

SSIS vs AWS Glue

Compared 5% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs AWS Glue

Compared 5% of the time

Oracle Integration Cloud Service vs AWS Glue

Compared 5% of the time

SnapLogic vs AWS Glue

Compared 4% of the time

More AWS Glue Competitors

Talend Open Studio vs Talend Data Integration

Compared 31% of the time

SSIS vs Talend Data Integration

Compared 23% of the time

SAP Cloud Platform vs Talend Data Integration

Compared 20% of the time

Palantir Foundry vs Talend Data Integration

Compared 10% of the time

Oracle Data Integrator (ODI) vs Talend Data Integration

Compared 8% of the time

More Talend Data Integration Competitors

Product Reports

Buyer's Guide

AWS Glue

March 2025

Download AWS Glue product report

Buyer's Guide

Integration Platform as a Service (iPaaS)

March 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

March 2025

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