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AWS Glue vs Talend Data integration comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

AWS Glue
Ranking in Cloud Data Integration
1st
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
43
Ranking in other categories
No ranking in other categories
Talend Data integration
Ranking in Cloud Data Integration
20th
Average Rating
8.6
Number of Reviews
5
Ranking in other categories
Integration Platform as a Service (iPaaS) (15th)
 

Mindshare comparison

As of November 2024, in the Cloud Data Integration category, the mindshare of AWS Glue is 24.8%, up from 24.6% compared to the previous year. The mindshare of Talend Data integration is 0.7%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration
 

Featured Reviews

Ajaykumar Myana - PeerSpot reviewer
Jul 31, 2023
Provides serverless mechanism, easy data transformation and automated infrastructure management
I had the source data, which was unstructured and non-fixable, and my responsibility was to convert it into structured data. For this task, I used PySpark as the programming language. With Python, I implemented the creation of a data frame using Glue jobs. Since Glue jobs are a serverless…
AntonioFonseca - PeerSpot reviewer
Apr 11, 2024
Easy-to-use product with the ability to generate code efficiently
Our primary use case involves integrating diverse data sources into our projects. These sources include data servers, fax files, CSV files, databases such as SQL and Postgres, and various other formats like Excel Talend's most valuable feature is its ability to generate code and packages…

Quotes from Members

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

Pros

"Its ease of use, cost-effectiveness, and highly secure architecture are some of the most valuable features."
"The solution helps organizations gain flexibility in defining the structure of the data."
"AWS Glue is a good solution for developers, they have the ability to write code in different languages and other software."
"The solution is highly user-friendly, and its features are easy to use. The new addition of AWS Glue Data Catalog is also very beneficial, making the tool even more helpful for its users."
"The solution is stable and reliable."
"The two features I find most valuable in AWS Glue are its user interface and ease of use."
"AWS Glue is a stable and easy-to-use solution."
"The most valuable feature for me is the visual interface of AWS Glue."
"Talend Data integration has a wide library of connectors."
"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."
"We have multiple use cases for this solution. We integrate with Salesforce, SAP and Oracle databases to build business logic and provide reporting."
"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."
 

Cons

"I have encountered challenges with multi-region support."
"There should be more connectors for different databases."
"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."
"AWS Glue should be more reliable and faster in processing. Enhancing the speed of data processing would be beneficial."
"The monitoring is not that good."
"It fails to handle massive databases acquired from various sources."
"The mapping area and the use of the data catalog from Glue could be better."
"The product is expensive for data streaming. This area needs improvement."
"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."
"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 product's setup process could be simpler."
"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 an expensive product. I rate its pricing a nine out of ten."
"I rate the tool an eight on a scale of one to ten, where one is expensive, and ten is 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."
"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."
"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."
"This solution is affordable and there is an option to pay for the solution based on your usage."
"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 have been using the open-source version."
"The product pricing is considered very good, especially compared to other data integration tools in the market."
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
14%
Manufacturing Company
8%
Insurance Company
6%
Computer Software Company
16%
Manufacturing Company
11%
Financial Services Firm
10%
Retailer
8%
 

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.
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...
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...
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.
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.
What needs improvement with Talend Data integration?
The product's setup process could be simpler.
 

Also Known As

No data available
Talend Cloud Integration, Talend Integration Cloud, Talend Cloud Remote Engine for AWS
 

Overview

 

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
ACCOR, ADR, L'OREAL, AstraZeneca
Find out what your peers are saying about AWS Glue vs. Talend Data integration and other solutions. Updated: October 2024.
814,649 professionals have used our research since 2012.