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What is Enalito 2 0?

Engraph is an innovative AI-powered tool that automates ETL pipeline creation using natural language, making data engineering seamless and efficient. It simplifies the process from data extraction to transformation and loading, eliminating the need for complex coding. This AI tool helps businesses streamline their data workflows, automate reusable DBT models, and integrate with over 340 data tools. Its collaboration features allow teams to manage access and roles effortlessly, ensuring better control over data pipelines. Engraph provides self-serve onboarding for smaller teams while growing businesses can benefit from a fully managed warehouse and automated deployments. The tool is built for data engineers, analysts, and business intelligence teams who need to accelerate data pipeline development. It fits workflows that require rapid iteration and integration with multiple data sources. Engraph is designed to scale from startups to large enterprises.

AI Tool Review Summary

Performance Score

4.5/5

Content/Output Quality

High, consistent, and reliable

Interface

Intuitive and user-friendly

AI Technology
Natural Language ProcessingMachine Learning
Purpose of Tool

Automates ETL pipeline creation using natural language for efficient data engineering.

Compatibility

Web-based application, integrates with 340+ data tools

Pricing

Free trial with paid plans starting at $100/month

Features

Features with the highest value for users are highlighted here.

Automated ETL pipeline creation via natural language

Reusable DBT models

340+ data integrations

Collaboration and access control

Bring your own warehouse

Automated deployments

Tailored warehouse solutions

Real-time data validation

How It Works

1

Connect Data Sources

Integrate with over 340 data tools using natural language commands.

2

Define Transformations

Describe the desired data transformations in plain English.

3

Generate Pipeline

Engraph automatically creates the ETL pipeline and reusable dbt models.

4

Deploy and Monitor

Deploy the pipeline with automated deployments and monitor performance.

Who Is It For?

Data Engineers

Data Analysts

Business Intelligence Teams

Startups

Growing Companies

Large Enterprises

Data Teams with Multiple Sources

Non-Technical Users

Companies Needing Compliance

Remote Teams

Pricing

Self-Service

$100/monthly
  • Self-serve onboarding
  • Bring your own warehouse
  • Up to 10 dbt models
  • You manage deployments
  • 48-hour support response time
Popular

Startup

$200/monthly
  • Hands-off onboarding
  • Fully managed warehouse
  • Up to 50 dbt models
  • Automated deployments
  • 24-hour support response time

Enterprise

Custom/monthly
  • Hands-off onboarding
  • Tailored warehouse solutions
  • Unlimited dbt models and projects
  • Tailored automated deployments
  • 1-hour dedicated support response time

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Pros & Cons

Pros

  • Automates ETL pipeline creation using natural language, reducing manual coding.
  • Supports over 340 data sources and allows generation of reusable models.

Cons

  • Cost may be high for smaller teams or startups.
  • Some advertised features are still in development.

FAQs

Just Launched

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Rating

5.0

Pros

Cons

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Release History

0 releases published

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