Here’s the difference between Databricks and ThoughtSpot. The comparison is based on pricing, deployment, business model, and other important factors.
Databricks provides a data lakehouse that unifies your data warehousing and AI use cases on a single platform. With Databricks, you can implement a common approach to data governance across all data types and assets, and execute all of your workloads across data engineering, data warehousing, data streaming, data science, and machine learning on a single copy of the data. Built on open source and open standards, with hundreds of active partnerships, Databricks easily integrates with your modern data stack. Additionally, Databricks uses an open standards approach to data sharing to eliminate ecosystem restrictions. Finally, Databricks provides a consistent data platform across clouds to reduce the friction of multicloud environments. Today, Databricks has over 7000 customers, including Amgen, Walmart, Disney, HSBC, Shell, Grab, and Instacart.
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 Warehouses, Data Lakes | Augmented Analytics |
Stage | Late Stage | Late Stage |
Target Segment | Enterprise, Mid size | Enterprise, Mid size |
Deployment | SaaS | SaaSOn Prem |
Business Model | Commercial | Commercial |
Pricing | Freemium, Contact Sales | Free trial, Contact Sales |
Location | San Francisco, US | California, US |
Companies using it | ||
Contact info |