Here’s the difference between Monte Carlo Data and Cazena. 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.
Cazena provides managed cloud service for end-to-end big data service. It acts as an extension to the enterprise infrastructure and enables to run workloads in the cloud. It has intelligence built in to deploy infrastructure for Hadoop, MPP SQL, Spark or search based on the workload. Existing BI tools could be used to analyze the data as if it were present in local. Its use cases include overloaded datacenter, simplifying analytic pipelines, as a sandbox environment, as a data lake etc.
Overview | ||
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Categories | Data Quality Monitoring | Data Lakes |
Stage | Early Stage | Mid Stage |
Target Segment | Enterprise, Mid size | Enterprise, Mid size |
Deployment | SaaSOn Prem | SaaS |
Business Model | Commercial | Commercial |
Pricing | Freemium | Contact Sales |
Location | San Francisco, US | US |
Companies using it | ||
Contact info |