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AWS Glue

Fully managed extract, transform, and load (ETL) service

What is AWS Glue?

A fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics.
AWS Glue is a tool in the Big Data Tools category of a tech stack.

Who uses AWS Glue?

92 companies reportedly use AWS Glue in their tech stacks, including Shelf, Zé Delivery, and Peloton.

249 developers on StackShare have stated that they use AWS Glue.

AWS Glue Integrations

MySQL, Amazon S3, Microsoft SQL Server, Amazon RDS, and Oracle are some of the popular tools that integrate with AWS Glue. Here's a list of all 16 tools that integrate with AWS Glue.
Pros of AWS Glue
Managed Hive Metastore
Decisions about AWS Glue

Here are some stack decisions, common use cases and reviews by companies and developers who chose AWS Glue in their tech stack.

Punith Ganadinni
Senior Product Engineer · | 2 upvotes · 35.6K views

Hey all, I need some suggestions in creating a replica of our RDS DB for reporting and analytical purposes. Cost is a major factor. I was thinking of using AWS Glue to move data from Amazon RDS to Amazon S3 and use Amazon Athena to run queries on it. Any other suggestions would be appreciable.

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Pardha Saradhi
Technical Lead at Incred Financial Solutions · | 6 upvotes · 43.9K views


We are currently storing the data in Amazon S3 using Apache Parquet format. We are using Presto to query the data from S3 and catalog it using AWS Glue catalog. We have Metabase sitting on top of Presto, where our reports are present. Currently, Presto is becoming too costly for us, and we are looking for alternatives for it but want to use the remaining setup (S3, Metabase) as much as possible. Please suggest alternative approaches.

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Blog Posts

Aug 28 2019 at 3:10AM


PythonJavaAmazon S3+16

AWS Glue's Features

  • Easy - AWS Glue automates much of the effort in building, maintaining, and running ETL jobs. AWS Glue crawls your data sources, identifies data formats, and suggests schemas and transformations. AWS Glue automatically generates the code to execute your data transformations and loading processes.
  • Integrated - AWS Glue is integrated across a wide range of AWS services.
  • Serverless - AWS Glue is serverless. There is no infrastructure to provision or manage. AWS Glue handles provisioning, configuration, and scaling of the resources required to run your ETL jobs on a fully managed, scale-out Apache Spark environment. You pay only for the resources used while your jobs are running.
  • Developer Friendly - AWS Glue generates ETL code that is customizable, reusable, and portable, using familiar technology - Scala, Python, and Apache Spark. You can also import custom readers, writers and transformations into your Glue ETL code. Since the code AWS Glue generates is based on open frameworks, there is no lock-in. You can use it anywhere.

AWS Glue Alternatives & Comparisons

What are some alternatives to AWS Glue?
AWS Data Pipeline
AWS Data Pipeline is a web service that provides a simple management system for data-driven workflows. Using AWS Data Pipeline, you define a pipeline composed of the “data sources” that contain your data, the “activities” or business logic such as EMR jobs or SQL queries, and the “schedule” on which your business logic executes. For example, you could define a job that, every hour, runs an Amazon Elastic MapReduce (Amazon EMR)–based analysis on that hour’s Amazon Simple Storage Service (Amazon S3) log data, loads the results into a relational database for future lookup, and then automatically sends you a daily summary email.
Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
It is an open source software integration platform helps you in effortlessly turning data into business insights. It uses native code generation that lets you run your data pipelines seamlessly across all cloud providers and get optimized performance on all platforms.
Get the power of big data in minutes with Alooma and Amazon Redshift. Simply build your pipelines and map your events using Alooma’s friendly mapping interface. Query, analyze, visualize, and predict now.
See all alternatives

AWS Glue's Followers
633 developers follow AWS Glue to keep up with related blogs and decisions.