Q.What is engraph?
A.Engraph is an automated data engineer that enhances your data engineering team with automated ETL pipelines, reusable DBT models, seamless integrations, and advanced collaboration tools.
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Engraph
★4.4
💬56
💲Paid
Engraph automates ETL pipeline building using natural language processing, enabling users to create data workflows through simple queries. It supports reusable DBT models, integrates with numerous data tools, and offers collaboration features for data teams.
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Platform
web
AutomationDBTData IntegrationData ModelingData PipelineData WarehouseETL
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.
Core Technologies
- Natural Language Processing
- Automated ETL Pipelines
- DBT Models
- Data Integration
Key Capabilities
- Automated ETL pipelines
- Reusable DBT models
- Seamless integrations with 340+ data tools
- Collaboration and access control
Use Cases
- Automating ETL pipelines from natural language requests
- Managing and scaling data transformations across an organization
- Integrating various data sources into a unified data warehouse
Core Benefits
- Reduces time and effort required for ETL processes
- Enables data engineers to focus on strategic tasks
- Improves data accessibility and collaboration
- Integrates with existing data stacks seamlessly
Key Features
- Automated ETL pipelines
- Reusable DBT models
- Seamless integrations with 340+ data tools
- Collaboration and access control
How to Use
- 1Ask natural language questions about your data.
- 2Engraph builds ETL pipelines end-to-end from data source to data warehouse.
- 3Use reusable DBT models for consistent data transformations.
- 4Access collaboration tools for team management.
- 5Integrate with existing data infrastructure.
Pricing Plans
Self-serve
$85/user/month
The essentials to set up with your own infrastructure. Self-serve onboarding, Bring your own warehouse, Up to 10 dbt models, You manage deployments, 48-hour support response time
Startup
$170/user/month
A plan that scales with your rapidly growing business. Hands-off onboarding, Fully managed warehouse, Up to 50 dbt models, Automated deployments, 24-hour support response time
Enterprise
Contact us
Dedicated support and infrastructure for your company. Hands-off onboarding, Tailored warehouse solutions, Unlimited dbt models and projects, Tailored automated deployments, 1-hour, dedicated support response time
Frequently Asked Questions
Q.How does engraph work?
A.Engraph builds your ETL pipelines end-to-end from data source to data warehouse to data modelling all from natural language.
Q.Do you do on-premise deployments?
A.On-premise deployments are coming soon.
Q.How does engraph handle privacy and data security?
A.This information is not provided in the given text.
Pros & Cons (Reserved)
✓ Pros
- Reduces time and effort required for ETL processes
- Enables data engineers to focus on more strategic tasks
- Improves data accessibility and collaboration
- Integrates with existing data stacks seamlessly
✗ Cons
- On-prem deployment and pipeline monitoring are coming soon, not currently available
- Pricing can be expensive depending on the plan and number of users
- Reliance on natural language processing may require precise phrasing for optimal results
Alternatives
No alternatives found.