The Glue Studio is like a Low Code No Code kind of an environement. Review collected by and hosted on G2.com.

Getting the resource take more time then expected and Job scheduling becomes cubersome. Review collected by and hosted on G2.com.

- AWS Glue is a serverless service, so you don't have to provision or manage any servers. This makes it very easy to get started with AWS Glue, and it also helps to reduce costs.

- AWS Glue is a fully-managed service, so you don't have to worry about managing the underlying infrastructure. This frees you up to focus on your data, and it also helps to improve reliability and security.

- AWS Glue is easy to use. You can create and run jobs with a few clicks of a button. AWS Glue also provides a graphical user interface that makes it easy to visualize your data and create ETL pipelines.

- AWS Glue is scalable. You can easily scale your jobs up or down to meet your changing needs. AWS Glue also provides a pay-as-you-go pricing model, so you only pay for the resources you use. Review collected by and hosted on G2.com.

- AWS Glue can be complex to set up and use, especially for users who are not familiar with Spark or Python.

- AWS Glue can be expensive, especially for large-scale data processing jobs.

- AWS Glue does not support all data sources, so you may need to use a different tool for some data sources. Review collected by and hosted on G2.com.

Best of AWS Glue is its easy to use user interface and the features like crawling the data. It uses Apache spark engine to run its jobs which helps in faster execution and it's Serverless feature which automatically provision the resources. It has Glue ETL jobs where the code is auto generated after selecting the data sources and targets. It has crawlers which auto detects the schemas and can be scheduled or run on demand. Review collected by and hosted on G2.com.

There are no incremental sync of data which does not help us to see the real time data for executing complex queries. Review collected by and hosted on G2.com.

Cost of ownership is low,

handles provisioning, configuration, and autoscaling of the resources for ETL jobs. Review collected by and hosted on G2.com.

AWS glue is compatable with JDBC and s3,it is not compatable with other technologies,

it does not process real time data,

user interface could be improved Review collected by and hosted on G2.com.

AWS glue does the ETL etl job near and clean. I've automated the data load from various sources and did transformation using pyspark. Glue facilities this very well Review collected by and hosted on G2.com.

Configuring glue is quite hard as a beginner. Need to be aware other services of AWS platform like iam. And cost wise glue i little bit on higher side compared to google cloud data flow for the facility they provide Review collected by and hosted on G2.com.

- glue catalogue - to create metadata

- glue studio help us to simplify the etl process and easy to use template

- jyupter note book to run code and test. Review collected by and hosted on G2.com.

- its dnt have sql transformation in glue studio

- it doesn't have features to directly load data from kinesis to redshift in glue studio

-not suitable for all data processing needs, Review collected by and hosted on G2.com.

AWS Glue is a ETL(Extract Transform and Load) Serverless tool used to extract data from many sources including AWS S3 and Databases which can be ran automatically based on events or manually when required. Converting CSV files to Tables automatically with lambda as preprocessing is great advantage. Review collected by and hosted on G2.com.

The UI seems bit hard to start with,it is not that user friendly as the new UI for other services are.The Documentation seems new and is being improved but for beginners its lot of training and testing. Review collected by and hosted on G2.com.

it saves a lot of money on infrastructure needs a few components/systems to be installed on-premises and does require a server at the client's place. the good thing about is a cloud-based platform with higher storage capacity. it is easy to use. Review collected by and hosted on G2.com.

Sometimes face problems with integration with third-party applications. transformation is complex. Review collected by and hosted on G2.com.

AWS Glue offers a user-friendly interface and a range of tools that make it relatively easy to set up and manage data integration workflows. The graphical interface for creating ETL jobs simplifies the process, allowing users to define data sources, transformations, and targets with little to no coding. Review collected by and hosted on G2.com.

AWS Glue is tightly integrated with the broader AWS ecosystem. While this provides seamless integration with other AWS services, it also means that organizations heavily invested in other cloud providers or on-premises infrastructure may face challenges in adopting AWS Glue as a standalone solution. Review collected by and hosted on G2.com.

AWS Glue provides Glue crawlers which can crawl/read data from a dump (AWS S3) and can organise that data into Glue tables which are easily readable. Glue crawler incrementally adds records to the Glue table, when data source (AWS S3) receives incremental data. This is the best thing I like about AWS Glue. Review collected by and hosted on G2.com.

One Glue crawler can crawl/read from one source location. So you need to have multiple crawlers, if you have data-to-be crawled at different locations. This can be cost effective. Review collected by and hosted on G2.com.