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Engineering teams are too resource-constrained to build, maintain, and scale ETL processes. Legacy enterprise ETL solutions require costly engineering projects or professional services.
ETL (Extract, Transform, Load) is the process of extracting data from disparate sources, transforming it into a clean and analysis-ready format, and loading it into a data warehouse for analysis.
Engineering teams are too resource-constrained to build, maintain, and scale ETL processes. Legacy enterprise ETL solutions require costly engineering projects or professional services.
The effort to maintain ETL scripts grows with the need for more pipelines. Events such as schema changes break pipelines, causing data integrity issues and decreased trust that the data is correct.
With custom-built ETL scripts or legacy ETL solutions, analysts become dependent on IT and engineering, causing friction and wasted time.
Create, maintain, and scale ETL pipelines without code. Add sources with a click, manage the data warehouse from the dashboard, and customize transformations with an interactive data wrangler.
Etleap actively monitors ETL pipelines and helps resolve issues such as schema changes and source API limits to ensure data is always reliable and available.
Get any data—even historical data—in any format from over 50+ sources including ERP systems, file storage, cloud services, and more.
“Just as we’ve moved from on-prem to AWS because we don’t want to be in the business of building data centers, we’re leveraging Etleap because we don’t want to be in the business of building data pipelines.”
