What do you like most about AWS Glue?

The most valuable feature of AWS Glue is scalability.

Our entire use case was very easily handled or solved using this solution.

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.

The product has a valuable feature for data catalog.

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.

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

The solution's technical support is good. Whenever we raise a use case where we face an issue in our company, we get a response from the solution's technical team.

We no longer had to worry much about infrastructure management because AWS Glue is serverless, and Amazon takes care of the underlying infrastructure.

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

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

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 most valuable feature for me is the visual interface of AWS Glue.

What I like best about AWS Glue is its real-time data backup feature. Last week, there was a production push, and what used to take almost ten days to send out around fifty-six thousand emails now takes only two hours.

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

It's fairly straightforward as a product; it's not very complicated.

The most valuable features currently are glue studio, jobs, and triggers.

The most valuable feature of AWS Glue is its ease of use and good documentation. Additionally, we can do all the transformations that we need.

AWS Glue is a good solution for developers, they have the ability to write code in different languages and other software.

The solution is stable and reliable.

It is AWS-integrated. There is end-to-end integration with the other AWS services. It is also user-friendly.

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 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.

I like that it's flexible, powerful, and allows you to write your own queries and scripts to get the needed transformations.

Glue is a NoSQL-based data ETL tool that has some advantages over IIS and ISAs.

One of the best features of the solution is its ability to easily integrate with other AWS services.

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

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.

Data catalog and triggers are the two best features for me.

AWS Glue has its own data catalog, which makes it great and really easy to use. Triggers are also really good for scheduling the ETL process.