Here’s the difference between Databricks and AI Reverie. 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.
AI.Reverie is a simulation platform for computer vision-based AI model training and testing. Its offerings include a suite of data and vision APIs that can be integrated with an existing platform to train machine learning algorithms. Its simulation platform develops a photorealistic virtual environment (similar to a realistic environment) and creates object models with annotated synthetic data generated in real-time (surface measurements, depth masks, edge masks, etc.) for model training, testing, and improving. The company has been invested in by Compound, Resolute Ventures, and Vulcan Capital.
Overview | ||
---|---|---|
Categories | Data Warehouses, Data Lakes | Synthetic Data |
Stage | Late Stage | Mid Stage |
Target Segment | Enterprise, Mid size | Mid size |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Freemium, Contact Sales | Contact Sales |
Location | San Francisco, US | New York, Us |
Companies using it | ||
Contact info |