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dbt-infer
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dbt-infer
Next-Gen analytics for dbt, supercharge models with Infer
# Analytics Assistant
Featured on : Jan 27. 2023
Featured on : Jan 27. 2023
What is dbt-infer?
dbt-infer brings next generation analytics to SQL and dbt through ML-powered SQL commands. Find insights, make predictions, and identify patterns. All within SQL. It is simple and easy to integrate, only takes a few minutes, and is free to get started with.
Problem
Data analysts and engineers face challenges in extracting meaningful insights, making predictions, and identifying patterns directly within SQL and dbt without extensive machine learning expertise or complex integrations. Extracting meaningful insights and making predictions directly within SQL and dbt
Solution
dbt-infer is a tool that integrates next-generation analytics with SQL and dbt through ML-powered SQL commands, allowing users to find insights, make predictions, and identify patterns directly within their database tools. It is simple, easy to integrate, takes only a few minutes, and is free to get started with. Integrates next-generation analytics with SQL and dbt through ML-powered SQL commands
Customers
Data analysts, data engineers, and developers who work with SQL and dbt looking for an efficient way to incorporate machine learning capabilities into their data transformation and analytics workflows. Data analysts, data engineers, and developers
Unique Features
ML-powered SQL commands for easy integration and immediate analytics capability enhancement within SQL and dbt environments.
User Comments
Easy integration
Saves time
Enhances analytics capabilities
Free to start
Ideal for SQL and dbt users
Traction
As of the last update, specific traction data such as number of users, MRR, or funding information was not provided directly on Product Hunt or the product's website. Further direct research might be necessary to find precise numbers.
Market Size
Data not directly available; however, the global business intelligence market, which related technologies like dbt-infer contribute to, is expected to reach $33.3 billion by 2025.