Here’s the difference between Monte Carlo Data and Apache Spark. The comparison is based on pricing, deployment, business model, and other important factors.
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.
Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.
Overview | ||
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Categories | Data Quality Monitoring | Data Modelling and Transformation |
Stage | Early Stage | Late Stage |
Target Segment | Enterprise, Mid size | Mid Size, Enterprise |
Deployment | SaaSOn Prem | On Prem |
Business Model | Commercial | Open Source |
Pricing | Freemium | Freemium |
Location | San Francisco, US | US |
Companies using it | ||
Contact info |