engraph

What is engraph?

engraph is a platform that automates the ETL (Extract, Transform, Load) pipeline building process using natural language processing. It allows users to ask questions about their organization’s data in natural language, eliminating the need for lengthy data requests. engraph enhances data engineering teams with automated ETL pipelines, reusable DBT models, seamless integrations, and advanced collaboration tools.

How to use engraph?

Users can create ETL pipelines by making natural language requests. The platform builds the pipelines end-to-end, from data source to data warehouse to data modeling, all from natural language input.

engraph’s Core Features

Automated ETL pipelines Reusable DBT models Seamless integrations with 340+ data tools Collaboration and access control On-prem deployment (Coming Soon) Pipeline monitoring and data quality (Coming Soon)

engraph’s Use Cases

• Automating the creation of ETL pipelines from natural language requests.
• Managing, scaling, and reusing data transformations across an organization.
• Integrating various data sources into a unified data warehouse.