AWS Glue Reviews

We are using it for file ingestion. Its primary role is to ingest a file from a vendor to a database.

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.

Currently, it supports only two languages in the background: Python and Scala. From our customization point of view, it would be helpful if it can also support Java in the background.

I have been using AWS Glue for three months. We have just started using these services.

We have not been using AWS Glue for a long time. Till now, we haven't found any issues.

Their technical support is good. We faced an issue with AWS Glue where we had to read a flat file. In a flat file, you only have spaces. You don't have commas or anything else. AWS Glue does not directly support flat files. You need to provide it with an expression to read the file, and that expression itself has some limitation of characters. We contacted the AWS support team. They had a call with us and first tried to understand our problem and then our use case. We gave them some sample files for our use case, and they come up with a solution for this limitation. There are some custom patterns in AWS Glue that can be used. Even though they took some time, they provided the solution. If you give a file today, they will take three to four days to get back.

It was straightforward. A lot of documentation is available on the AWS website, which can guide you through the simple steps to set it up. Its setup was easy for me.

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.

We have just recently started to use this solution. We haven't used all features properly. It is good for the features we are using. We did not find any drawbacks or limitations so far. We are already getting whatever we want from it. 

I would rate AWS Glue a seven out of ten. It needs improvements in terms of Java support and the turnaround time for our problems. 

AWS Glue is essentially used for data engineering ETL jobs to extract, transform, and load data. We use it to clean data. You have multiple data sources from your application that are not so clean. You have this data and may want to delete certain columns or fill in certain data in an Excel sheet. That's where the extract part comes in. Then, you transform, drop, or make the data uniform and load it to your destination like a data warehouse.

The solution’s most valuable feature is the ETL job. AWS Glue is an easy-to-use solution. AWS Glue integrates seamlessly with other AWS services like Athena, Redshift, and S3.

The solution’s technical support could be improved.

I have been using AWS Glue for a few months.

AWS Glue is a stable solution.

I rate the solution’s stability eight and a half out of ten.

In the future, our data sets are going to increase. For now, the solution's scalability is fine.

I previously used Data Pipeline, and I tried using Lambda.

The solution’s initial setup is easy.

AWS Glue is built for large datasets, and it does the job perfectly. I would recommend the solution to other users.

Overall, I rate the solution eight and a half out of ten.