Here’s the difference between Cazena and Apache Hudi. 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.
Hudi is a rich platform to build streaming data lakes with incremental data pipelines on a self-managing database layer, while being optimized for lake engines and regular batch processing.
|Categories||Data Lakes||Data Lakes|
|Stage||Mid Stage||Early Stage|
|Target Segment||Enterprise, Mid size||Mid Size, Enterprise|
|Business Model||Commercial||Open Source|
|Companies using it|