![]() AWS Glue provides a scalable and cost-effective way to prepare and transform large volumes of data for downstream processing and analysis. ![]() The service also enables users to define and enforce schema and data quality rules. It simplifies the process of discovering, categorizing, and cleaning data from various sources, such as S3 and relational databases, and makes it easier to integrate the data into data lakes and data warehouses. Athena uses the data catalogue created by AWS Glue to discover and access data stored in S3, allowing organizations to quickly and easily perform data analysis and gain insights from their data.ĪWS Glue is an ETL (extract, transform, and load) service provided by AWS. It supports both batch and streaming data sources, making it a good choice for querying constantly changing data. Not setting up a separate data warehouse (DWH) is why AWS calls these “ad-hoc queries”. Athena is ideal for running ad-hoc queries on large amounts of data, exploring and analyzing data without the overhead of setting up and maintaining a separate data warehouse. It is designed to be easy to use and supports popular SQL clients. What is AWS Athena, and what is it used for?Īmazon Athena is a serverless query engine based on Presto that allows users to run SQL queries on data stored in S3. I will also compare Athena to other popular data warehousing solutions, including Google BigQuery, Azure Synapse Analytics, and Snowflake. ![]() In this blog, I will compare Athena and Redshift, and explore why Athena may be the superior choice in an AWS data platform. Both tools are popular choices for data warehousing and analytics, and each has its own unique strengths and capabilities. Like Amazon Redshift, Amazon Athena is a powerful tool for managing data in the Amazon Web Services (AWS) cloud. However, times change, and the year 2014 is well behind us, which really calls to consider more modern options too, like Amazon Athena Compared to on-premise data center solutions, it is fast, cheap, and overall great. Redshift is one of the first cloud data warehouse services. Throughout my experience as a data engineer, I’ve noticed that most data engineers will opt for Redshift, the (familiar) AWS native solution, without thinking about giving its alternatives a chance.
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