Compare - AWS Athena VS Dataform
Here’s the difference between AWS Athena and Dataform. 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 Dataform
Dataform is an application to manage data in BigQuery, Snowflake, Redshift, and other data warehouses. It enables data teams to build scalable, tested, SQL based data transformation pipelines using version control and engineering inspired best practices. Compile hundreds of data models in under a second using SQLX. SQLX extends your existing SQL warehouse dialect to add features that support dependency management, testing, documentation and more.
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 | Commercial |
| Pricing | Pay as you go | Free trial |
| Location | USA | London, UK |
| Companies using it | ||
| Contact info |
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