Analyst-Friendly and Maintenance-Free ETL

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.

01 Challenges with ETL 02 Perfect ETL pipelines

Resources

Engineering teams are too resource-constrained to build, maintain, and scale ETL processes. Legacy enterprise ETL solutions require costly engineering projects or professional services.

Reliability

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.

Dependency

With custom-built ETL scripts or legacy ETL solutions, analysts become dependent on IT and engineering, causing friction and wasted time.

Analyst-friendly

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.

Automated

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.

Complete

Get any data—even historical data—in any format from over 50+ sources including ERP systems, file storage, cloud services, and more.

“Instead of waiting weeks or months to access data — or never getting it at all — analysts can now get it within hours.”

Create perfect ETL data pipelines today.

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