Here’s the difference between dbt and ThoughtSpot. The comparison is based on pricing, deployment, business model, and other important factors.
Dbt is an analytics engineering workflow tool. The command line based build tool enables data analysts and engineers to transform data in their warehouse and can take ownership of the entire analytics engineering workflow, from writing data transformation code to deployment and documentation. It automates data quality testing, deploys analytics code, and delivers data with documentation.
ThoughtSpot is a search and AI-driven analytics platform that delivers safe, reliable self-service analytics to the modern data stack. ThoughtSpot natively integrates with cloud platforms and scales to billions of rows, making it possible for anyone to ask their own data questions. Users can also embed search, Liveboards and visualizations into data applications using ThoughtSpot Everywhere. Customers include Hulu, Capital One, Mayo Clinic, and more.
Overview | ||
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Categories | Data Modelling and Transformation | Augmented Analytics |
Stage | Early Stage | Late Stage |
Target Segment | Enterprise, Mid size | Enterprise, Mid size |
Deployment | SaaS | SaaSOn Prem |
Business Model | Open Source | Commercial |
Pricing | Free trial, Contact Sales | Free trial, Contact Sales |
Location | US | California, US |
Companies using it | ||
Contact info |