AWS Glue vs Talend Open Studio comparison

Amazon Web Services (AWS) and Talend 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 98% of Talend users who would recommend it.

AWS Glue

Read 49 AWS Glue reviews

10,076 Views
5,643 Comparison Views

90% willing to recommend

Talend Open Studio

Read 50 Talend Open Studio reviews

7,181 Views
5,817 Comparison Views

98% willing to recommend

AWS Glue

Talend Open Studio

Comparison Buyer's Guide

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Executive SummaryUpdated on Apr 20, 2025

Talend Open Studio and AWS Glue both compete in the data integration category. AWS Glue seems to have the upper hand due to its strong scalability and seamless integration with AWS services, despite Talend's competitive pricing and user-friendly interface.

Features: Talend Open Studio is known for its scalability, user-friendly interface, and extensive library of over 900 connectors. It offers flexibility in customizing ETL processes with minimal programming knowledge, making it suitable for diverse data management needs. AWS Glue is appreciated for its serverless architecture, real-time data processing, and seamless integration with AWS services, which enhances automation and minimizes infrastructure management.

Room for Improvement: Talend Open Studio users suggest improvements in documentation, technical support, and version control features, as well as enhanced scheduling capabilities. AWS Glue users point out the need for better resource management, pricing structures, and expanded support for diverse data sources, alongside improved UI consistency during large-scale data processing tasks.

Ease of Deployment and Customer Service: Talend Open Studio can be deployed on-premises or in private and hybrid cloud environments, appealing to businesses with specific infrastructure requirements, though it lacks dedicated support for open-source versions. AWS Glue, being cloud-native, primarily supports public or hybrid cloud deployments, with a pay-as-you-go model, but some users report delays in customer service responses.

Pricing and ROI: Talend Open Studio's open-source version is cost-effective for basic ETL needs, while its enterprise version incurs additional costs for advanced features. Users report good ROI through cost savings. AWS Glue may involve higher costs but offers robust performance and integration with AWS, delivering significant ROI through optimized data processing in AWS environments.

To learn more, read our detailed AWS Glue vs. Talend Open Studio Report (Updated: July 2025).

Buyer's Guide

AWS Glue vs. Talend Open Studio

July 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

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Integration (1st)

Talend Open Studio

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Integration (5th)

Q&A Highlights

Netanya Carmi

Content Manager at PeerSpot

Nov 24, 2021

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 the ETL console. This solution has a lot of useful features. For example, you can point AWS Glue to data in AWS, and Glue stores the associated metadata in the data catalog. As a result, the data becomes searchable and available in the ETL. The UI is very friendly and easy to use. We also like how fast it is for ETL processes. If your company handles large quantities of sensitive data, AWS Glue provides a scheduler, and the data deployment is very straightforward. Still, AWS Glue leaves some room for improvement. The setup can be pretty tricky if you are not already an AWS user. Also, the sample code is not available for many use cases. Talend Open Studio is a data integration solution designed for ETL, Big Data, and data integration. It is also easy to use. The feature we like the most is that It allows us to integrate the different data sources. It has the added advantage of being open-source. It provides a lot of features out of the box, which is nice to have. The pre-built widgets help you streamline integrations with databases and web services. We use it for small loads, but for large amounts of data it stalls sometimes. Conclusions: If you are already an AWS user, AWS Glue is probably the best ETL tool for you. If that's not the case, deployment can be quite difficult. For small loads, Talend is a better option.

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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.

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Costin Marzea

CTO, Founder at SmartStreams Software

Allows you to develop your own components and can be used as an OEM

Sometimes, scalability is part of planning. It depends on what you mean by scalability. People talk a lot about it, but scalability is not always about system functionality. Sometimes, it may be planning the job you're doing. If you want to split it into several jobs or servers, you don't actually have to have it built in as a functionality. You can create a job using a loop, which runs and controls several jobs in a loop that may be controlled. Scaling should not always be part of the infrastructure based on whether the engine can scale or not. I think it's your plan or project that should scale and split, and you can define these parameters. These parameters include how many servers you want to run or how many executions you want to do on different parts of the data. It's not always an issue of the engine running. Sometimes, your database should be configured to support partitioning. The product may scale very well without partitioning, but if the basic response is very slow, you didn't solve the problem. You should solve the problems at a higher level, not just at the execution level. They should be solved at the database level and communication level, and you should have firewalls. We are trying to add to the open source the ability to generate code for containers and Kubernetes that exist in the subscription version. Once you do this, Kubernetes will take care of the scaling, so there is no problem.

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 very quick to start without cold starts, unlike AWS Lambda."

"AWS Glue is fast and managed by AWS. Hence, you don't have to worry about capacity and the performance of Glue jobs. It has integrations with other data stores of AWS. The product offers metadata management, logging, and ETL processing capabilities. It comes with a powerful feature, Glue Studio, which helps to do queries interactively within the community. It is a managed service and very secure. Another popular and mature service is S3."

"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."

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

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

"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."

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

"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."

More AWS Glue pros

"I can connect with different databases such as Oracle Database or SQL Server. It allows you to extract the data from one database to another. I can structure the data by filtering and mapping the fields. It is very user-friendly. You need to know the basics of SQL development or SQL queries, and you can use this tool."

"The initial setup of the product was very easy."

"This product is very easy to use."

"The solution has a good balance between automated items and the ability for a developer to integrate and extend what he needs. Other competing tools do not offer the same grade of flexibility when you need to go beyond what is provided by the tool. Talend, on the other hand, allows you to expand very easily."

"Talend lets you do everything — mapping, workflow, and orchestration — in a single place."

"The most valuable features are the ETL tools."

"The standout feature for me is the user-friendly nature of the components."

"You can use Talend as a stand-alone application without customization to collect data and generate reports over dashboards. It's got great functionality."

More Talend Open Studio pros

Cons

"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."

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

"I am quite technical, yet when it comes to data pipelines, I prefer using GUIs over code-based calls. It might be easier with a different skill set."

"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."

"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."

"In the building and deployment aspects, there is room for improvement. The current process is a bit complicated and could benefit from being more user-friendly and simpler, which would help speed up the deployment process."

"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."

"In terms of improvement, the performance of AWS Glue could be faster."

More AWS Glue cons

"The security features could be improved."

"Inter-version compatibility is a problem, and migration projects between versions are required."

"I rate Talend Open Studio's stability an eight out of ten. Talend has some problems sometimes."

"The user interface could be made simpler."

"It needs better installation configuration for other databases. Although the installation allows you to select another database, this doesn't mean that all connection points in the application point to the database selected. You actually need to do a search through the entire install to locate the configuration settings and change them."

"Talend should improve the log and error handling to better track the errors you find during development. Sometimes it's challenging to see what's causing an issue, and tracking that on Talend is complicated."

"We need more components to be more efficient. We use a lot of components, such as Salesforce, and it's not easy to use. There's are minor bugs and it's not easy to use some of the features."

"I think my biggest problem with the tool is that the errors are very hard to debug."

More Talend Open Studio cons

Pricing and Cost Advice

"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."

"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."

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

"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."

"I would rate the solution a six or seven on a scale of one to ten, with ten being very expensive. Specifically, I rate its pricing a six out of ten."

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

"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."

More AWS Glue pricing and cost advice

"It is an open-source product."

"Talend Open Studio is priced too high."

"There are many versions available and one is open-sourced which is free."

"It does the job well for nothing — without cost. That's the advantage of this product."

"Talend is free and you can download it."

"Talend Open Studio costs about 11,000 a year."

"Pricing and licensing are fairly straightforward. It is reasonably priced and managed."

"I am using the open-source version and it is free."

More Talend Open Studio pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

13%

Manufacturing Company

Government

Financial Services Firm

17%

Computer Software Company

13%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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?

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 Open Studio?

It is easy to use and covers most of the functions needed. We can use the code without any extra effort. The open source is very good. They have the same commercials with additional connectors. The...

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What is your experience regarding pricing and costs for Talend Open Studio?

The setup cost is expensive, so there are considerations.

See all answers

What needs improvement with Talend Open Studio?

There is a need for mastery in some areas.

See all answers

Comparisons

AWS Database Migration Service vs AWS Glue

Compared 32% of the time

SSIS vs AWS Glue

Compared 6% of the time

SnapLogic vs AWS Glue

Compared 5% of the time

Oracle Integration Cloud Service 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

SSIS vs Talend Open Studio

Compared 20% of the time

Informatica PowerCenter vs Talend Open Studio

Compared 12% of the time

IBM InfoSphere DataStage vs Talend Open Studio

Compared 11% of the time

Oracle Data Integrator (ODI) vs Talend Open Studio

Compared 6% of the time

FME vs Talend Open Studio

Compared 5% of the time

More Talend Open Studio Competitors

Product Reports

Buyer's Guide

AWS Glue

July 2025

Download AWS Glue product report

Buyer's Guide

Talend Open Studio

June 2025

Download Talend Open Studio product report

Also Known As

No data available

Open Studio

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 Open Studio is a free, open source ETL tool for data integration and Big Data. The solution enables you to extract diverse datasets and normalize and transform them into a consistent format which can be loaded into a number of third-party databases and applications.

Talend Open Studio Features

Talend Open Studio has many valuable key features. Some of the most useful ones include:

Automatic identification of data types and potential errors
tMap module
Graphical conversion tools
Charts
Database SCD Tools
Business intelligence formats (Jasper, OLAP, SPSS, Splunk)
ETL and ELT support
Eclipse-based development tooling
Versioning
Large library of connectors
Data flow orchestration
File management without scripting
Data transformations

Talend Open Studio Benefits

There are several benefits to implementing Talend Open Studio. Some of the biggest advantages the solution offers include:

Reduces the time taken to develop the integration.
Provides a wide selection of source and target connectors.
Monitor and manage problematic deployments with ease.
Allows developers to have the lowest cost of ownership for any solution.
Improves collaboration between different teams who need access to data.
Automated data integration process synchronizes the data and eases real time and periodic reporting, which would be time-consuming if done manually.
Achieve better data quality because data matures and improves over time.

Reviews from Real Users

Below are some reviews and helpful feedback written by PeerSpot users currently using the Talend Open Studio solution.

Elio B., Data Integration Specialist/CTO at Asset messages, says, "The solution has a good balance between automated items and the ability for a developer to integrate and extend what he needs. Other competing tools do not offer the same grade of flexibility when you need to go beyond what is provided by the tool. Talend, on the other hand, allows you to expand very easily."

A Practice Head, Analytics at a tech services company mentions, “The data integration aspect of the solution is excellent. The product's data preparation features are very good. There's very useful data stewardship within the product. From a technical standpoint, the solution itself is pretty good. There are very good pre-built connectors in Talend, which is good for many clients or businesses, as, in most cases, companies are dealing with multiple data sources from multiple technologies. That is where a tool like Talend is extremely helpful.”

Prerna T., Senior System Executive at a tech services company, comments, “The best thing I have found with Talend Open Studio is their major support for the lookups. With Salesforce, when we want to relate our child objects to their parent object, we need to create them via IDs. Then the upsert operation, which will allow you to relate a child object to the event, will have an external ID. That is the best thing which keeps it very sorted. I like that.”

An Implementation Specialist, Individual Contributor at a computer software company, states, “I can connect with different databases such as Oracle Database or SQL Server. It allows you to extract the data from one database to another. I can structure the data by filtering and mapping the fields.” He also adds, “It is very user-friendly. You need to know the basics of SQL development or SQL queries, and you can use this tool.”

PeerSpot user Badrakh V., Information System Architect at Astvision, explains, "The most valuable features are the ETL tools."

Talend

Sample Customers

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

Almerys, BF&M, Findus

Buyer's Guide

AWS Glue vs. Talend Open Studio

July 2025

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