AWS Glue Reviews & Product Details

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.

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.

The orchestration of AWS glue is really great for building data pipelines ,the auto scaling of the cluster makes it easy to use .Integrating different data sources is also really helpful and efficient. Review collected by and hosted on G2.com.

Its hard to debug the code in AWS glue for me personally. Review collected by and hosted on G2.com.

AWS Glue is a pretty cool tool for handling data integration and ETL tasks. It’s like having a handy assistant that takes care of all the technical stuff, so you don’t have to worry about managing the behind-the-scenes infrastructure. It even keeps your data organized with its Data Catalog, which is like a digital filing cabinet for your data.

One of the neat things about Glue is that it can automatically write some of the code for you. That means you don’t have to be a coding wizard to make it work. Plus, it’s really flexible and can handle different workloads without breaking the bank because it scales up or down as needed.

So, if you want to make your data tasks easier and more efficient, AWS Glue is definitely worth checking out! Review collected by and hosted on G2.com.

Now, while AWS Glue is pretty handy, it’s not without its quirks. One thing to keep in mind is the cost. If you are not careful, it can sneak up on you, especially if you are dealing with a ton of data. So,budgeting and monitoring your usage are crucial.

Also, working with really complex data transformations, Glue usually underperforms ending up investing efforts in some optimization. Review collected by and hosted on G2.com.