Here’s the difference between Tecton and Cazena. The comparison is based on pricing, deployment, business model, and other important factors.
Tecton provides a data platform for machine learning models. Allows users to build models with features like batch, streaming & real-time data and deploy features in production. Also provides solutions to build training data sets and monitor production features for detecting breakages & drift.
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.