Here’s the difference between Cazena and Orchest. 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.
Orchest is an open-source, cloud-native, development environment built for data science. Orchest helps you build data pipelines, the easy way. No frameworks. No YAML. Just write Python and R code in notebooks.
|Categories||Data Lakes||Workflow Orchestration|
|Stage||Mid Stage||Early Stage|
|Target Segment||Enterprise, Mid size||Mid Size, Enterprise|
|Pricing||Contact Sales||Freemium / , Contact Sales|
|Companies using it|