Compare - AWS Athena VS dbt
Here’s the difference between AWS Athena and dbt. The comparison is based on pricing, deployment, business model, and other important factors.
About AWS Athena
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. Athena is easy to use. Simply point to your data in Amazon S3, define the schema, and start querying using standard SQL. Most results are delivered within seconds. With Athena, there’s no need for complex ETL jobs to prepare your data for analysis. This makes it easy for anyone with SQL skills to quickly analyze large-scale datasets. Athena is out-of-the-box integrated with AWS Glue Data Catalog, allowing you to create a unified metadata repository across various services, crawl data sources to discover schemas and populate your Catalog with new and modified table and partition definitions, and maintain schema versioning.
About dbt
Dbt is an analytics engineering workflow tool. The command line based build tool enables data analysts and engineers to transform data in their warehouse and can take ownership of the entire analytics engineering workflow, from writing data transformation code to deployment and documentation. It automates data quality testing, deploys analytics code, and delivers data with documentation.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Modelling and Transformation | Data Modelling and Transformation |
| Stage | Early Stage | |
| Target Segment | Mid Sized, Enterprise | Enterprise, Mid size |
| Deployment | Cloud | SaaS |
| Business Model | Commercial | Open Source |
| Pricing | Pay as you go | Free trial, Contact Sales |
| Location | USA | US |
| Companies using it | ||
| Contact info |
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