Here’s the difference between Cazena and Alvin. The comparison is based on pricing, deployment, business model, and other important factors.
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.
Provider of the cataloging and metadata management software solution. It provides a plug and play data lineage solutions for data engineers. It also provides manually mapping data bytes, impact analysis, granular usage analytics, error & problem tracing, etc. It also provides data flow & codes, in-content usage matrix for columns, tables and dashboards.