There are many nice features. Etleap has an array of connectors that allow you to source data from AWS S3, FTP servers, relational databases, and more. It can convert csv, json, xml documents into parquet, and it integrates with the AWS glue catalog to make building a queryable data lake easy. The data wrangler makes it easy to do some transformations on the data when needed. But I think the best feature is how it scales so well across big and small tables. Just to give an idea, when I say big tables, our largest tables have billions of rows. It does this with an auto-scaling EMR cluster that adjusts by shrinking and growing as needed.

Etleap is easy to setup and it can be used not only by very technical data engineers, but by data analysts and business analysts. It's very intuitive and allows you to do basic transformations in-app which streamlines data modeling after the fact and is something not available in other similar platforms. The support that the Etleap team provides is best in class - they feel like part of your internal team!

The key aspects that had us pick etleap over competing solutions were: 1. it is both a SaaS-based solution and is deployable in our AWS account directly (needed for finance compliance requirements) 2. It's data wrangling / ETL capabilities are super intuitive so our BA's can implement them (not just engineers) 3. it just works from a scalability and deployment perspective 4. the support has been top notch; it's as if it's an extension to our internal data team 5. the pricing model was unique in that it scales based on number of pipelines vs. total volume