What is Engraph
Engraph empowers data engineering teams by providing automated ETL pipelines, reusable DBT models, and seamless integrations. The platform offers a secure and collaborative environment to manage and scale data transformations efficiently.
How to Use Engraph
- Create and manage ETL pipelines using the intuitive natural language interface.
- Generate reusable DBT models for scalable data transformations.
- Integrate with over 340 data tools to manage your data sources.
- Monitor pipeline performance and ensure data quality with real-time analytics and validation checks.
Use Cases of Engraph
Engraph is designed for data engineering teams looking to streamline their ETL processes, enhance collaboration, and ensure data quality across their organization.
Features of Engraph
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Automated ETL pipelines
Create, manage, and execute ETL pipelines seamlessly with an intuitive natural language interface, reducing the time and effort required for data extraction, transformation, and loading.
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Reusable DBT models
Generate reusable DBT models to manage, scale, and reuse data transformations across your organization.
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340+ integrations with data tools
Seamlessly integrate with over 340 connectors to manage and utilize your data sources effortlessly.
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Collaboration and access control
Invite and manage team members, set user roles and permissions, ensuring complete control over your data pipelines and access to your data sources.
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On-prem deployment
Deploy the language model within your organization to ensure the security and privacy of your data without sacrificing performance or functionality.
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Pipeline monitoring and data quality
Monitor the performance of your ETL pipelines in real-time with an analytics dashboard and ensure data quality with built-in validation checks and error notifications.