Here’s the difference between Cazena and Kestra. 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.
Kestra is an infinitely scalable orchestration and scheduling platform, creating, running, scheduling, and monitoring millions of complex pipelines.
|Categories||Data Lakes||Workflow Orchestration|
|Stage||Mid Stage||Early Stage|
|Target Segment||Enterprise, Mid size||SMBs, Mid-size, Enterprise|
|Business Model||Commercial||Open Source|
|Pricing||Contact Sales||Contact Sales, Freemium|
|Companies using it|