Compare - Databricks VS Monte Carlo Data
Here’s the difference between Databricks and Monte Carlo Data. The comparison is based on pricing, deployment, business model, and other important factors.
About Databricks
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.
About Monte Carlo Data
Monte Carlo is a database administration and monitoring solutions, provider. The features of the product include revenue loss prevention and security, data adoption, downtime reduction, data security, and data flow monitoring, etc. It also provides BI tools, data warehouse, data lake, etc.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Warehouses, Data Lakes | Data Quality Monitoring |
| Stage | Late Stage | Early Stage |
| Target Segment | Enterprise, Mid size | Enterprise, Mid size |
| Deployment | SaaS | SaaSOn Prem |
| Business Model | Commercial | Commercial |
| Pricing | Freemium, Contact Sales | Freemium |
| Location | San Francisco, US | San Francisco, US |
| Companies using it | ||
| Contact info |
Add to compare
