AWS Glue Reviews & Product Details

What I like most about AWS Glue is that it is a fully managed ETL service, so there is very little infrastructure to worry about. It integrates seamlessly with other AWS services like S3, Athena, Redshift, and Lake Formation, which makes data movement and transformation very smooth. The Glue Data Catalog is especially useful because it automatically discovers and organizes data, saving a lot of manual effort. The serverless nature and auto-scaling also help optimize costs since we only pay for what we use. Review collected by and hosted on G2.com.

One challenge with AWS Glue is the learning curve, especially for beginners who are new to Spark or AWS services. Debugging Glue jobs can sometimes be difficult because the error messages are not always very clear. Job startup time can also feel a bit slow for smaller workloads. Additionally, costs can increase quickly if jobs are not optimized properly, so monitoring and tuning are important. Review collected by and hosted on G2.com.

Easy to trace the error in the script through runs.

My team build a framework to fetch data from different platform through AWS Glue and stores them in S3 in the file format mention by us. That make our integration and fetching data a lot easier.

Sppourt frequent data load.

It is easy to implement.

Good customer support. Review collected by and hosted on G2.com.

Many a time I face server/connectivity issue when using glue and our job get blocked due to that.

Does not support xml file formats. Review collected by and hosted on G2.com.

Absolutly love Glue for its functionality. Provides everything needed Review collected by and hosted on G2.com.

The legacy version is now not accesible. Also, the documenttation could be beeter. Review collected by and hosted on G2.com.

AWS Glue integrates very well with AWS services which are now widely being used by almost every company,since it's AWS original tool,it easily integrates with all others like S3 and redshift. Review collected by and hosted on G2.com.

AWS Glue is not user friendly,the transformation components that we have are not useful in different scenarios and we need to use custom transformation for everything,including even very basic operations. Review collected by and hosted on G2.com.

I like its service. easy to understand and use. Review collected by and hosted on G2.com.

Yet, I didn't find anything bad foe AWS. Review collected by and hosted on G2.com.

Visually Effective and ease to use on ETL operation Review collected by and hosted on G2.com.

Selection on Data quality and more system transformation required Review collected by and hosted on G2.com.

I love how simple data management and organization are with it. AWS Glue saves a ton of time by automating most of the data integration and preparation process. Even for novices the visual interface is easy to use, and because it's serverless, I don't have to worry about infrastructure. The user interface is simple to use and navigate, making tasks straightforward. I utilize AWS Glue frequently, and it continuously satisfies my needs for data management. The implementation was easy and it's easy to use. Review collected by and hosted on G2.com.

At first, especially if you are unfamiliar with cloud services, it might be a little difficult to understand the pricing. Monitoring usage is essential to preventing unforeseen expenses. Furthermore, even though the graphical user interface is excellent, more customization choices might be available for sophisticated users who want to optimize their data workflows. Review collected by and hosted on G2.com.

In this tool we can run easily puspark jobs. There is multiple option we can run jobs using notebook and many options there Review collected by and hosted on G2.com.

Nothing its almost good for my work. There is all good Review collected by and hosted on G2.com.

Glue is serverless and I need to pay for what I use. Most importantly glue automatically generates script for my ETL job.

Extraction of data from data source , transformation and loading to data target has become ease with glue.

I have used crawlers in glue to determine schema automatically from the s3 bucket which is my data source and writes meta data to database in data catalog .

Using visual ETL I have transformed the schema from data catalog and pushed to target with ease in seconds.

While creating ETL job we can select source and target and transform the data using many options provided to make the data clean and noise free.

It can dynamically scale resources up and down based on work load. Review collected by and hosted on G2.com.

Glue was only limited to Python and Scala.One must have little knowledge on any of these languages to understand the ETL job script.

I only found this a down side of Glue as I am beginner to Glue. Review collected by and hosted on G2.com.

AWS Glue is an ETL service provided by aws which is easy to use and implement.

It can be integrated with many services like CLI or SDK allowing its more frequency in usage.

It comes with various features that is provided by the AWS like that of availability etc.

The customer support of AWS is always satisfying and helps you with cost reduction and sustainable usage of resources. Review collected by and hosted on G2.com.

The main disadvantage of AWS glue is that it only supports two languages i.e, python and scala. Review collected by and hosted on G2.com.