Here’s the difference between GoodData and Cazena. The comparison is based on pricing, deployment, business model, and other important factors.
GoodData is a multi-tenant, composable data and analytics platform that can be run in a public or private cloud, allowing you to build rich analytics for your end users (e.g., employees, customers, or business partners). GoodData provides self-service analytics, low-code/no-code interfaces, embeddable data visualization, and application integration. The platform also offers a robust end-to-end pipeline, including data ingestion, preparation, and transformations.
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 | Business Intelligence (BI), Metrics Store | Data Lakes |
Stage | Late Stage | Mid Stage |
Target Segment | Mid size, Enterprise | Enterprise, Mid size |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Freemium | Contact Sales |
Location | San Francisco, U.S | US |
Companies using it | ||
Contact info |