AWS Glue

Serverless Data Integration at Scale – Customize and Monitor Large Data Streams
AWS Glue

Data integration is made much easier and simpler with AWS Glue, a serverless data integration and Extract, Transform, Load (ETL) service that helps find, prepare, migrate, and integrate data from various sources. With AWS Glue, we enable provisioning and easy management of resources needed to run workloads. AWS Glue creates the infrastructure for an ETL tool and saves time and resources for creating one. It also helps read and write data from multiple databases and systems such as Amazon S3, Amazon Redshift, Amazon DynamoDB and so on.  

User can locate and retrieve data with ease using the AWS Glue Data Catalog and AWS Glue facilitates orchestration, customization and monitoring of large and complex data streams.  

Amazon Glue BENEFITS

Key Benefits

AWS Glue makes it cost efficient, faster and simpler to prepare data and to easily create ETL pipelines to load data into data lakes   

Easy integration

One stop serverless integration service for building and managing data pipelines

Low costs

Fully managed,
serverless and pay
only for consumed resources

Flexibility in Scaling

Automatically resize computing resources with easy configuring, low costs, & monitoring


Removes the need to setup or maintain infrastructure for ETL execution & simplifies logging & alerts

Build your Data Strategy on AWS Glue with Ease And Expertise

AWS Glue Application Areas

AWS Glue Use Cases

Efficient data discovery

Fast and efficient data identification across AWS, multi cloud and on premise for querying & transformation 

Event driven ETL pipeline

Quickly trigger an ETL job the instant data is available in Amazon S3 by launching AWS Glue ETL jobs using an AWS Lambda function

Efficient log analysis

Easily analyze log data in your data warehouse with ETL scripts to transform and enrich data from the source to target 

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