Here’s the difference between Alation and Cazena. The comparison is based on pricing, deployment, business model, and other important factors.
Alation provides a data cataloging platform. It automatically builds a catalog of useful data documentation, covering all of the data sources, and allows users to collaborate and work on the data. It processes enterprise unstructured data by centralizing knowledge into a single place using machine learning and human analysts. The search can be made using keywords in plain English. Enables users to access relevant information (including experts, lineage, keys and indexes, relevant queries) and documentation on all tables, across the organization’s data sources. The clients include PepsiCo, Dow, Fox Networks, BMW and others.
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.