Here’s the difference between Cazena and Data Channel. 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.
DataChannel is a completely self-serve no-code SaaS platform used for Data Aggregation, Analytics, and Visualization. It can be used to quickly aggregate and move all the companies data from any source be it a cloud-based SaaS application or an On-premise database to a Data warehouse of your choice.
|Categories||Data Lakes||ETL Tools|
|Stage||Mid Stage||Early Stage|
|Target Segment||Enterprise, Mid size||SMBs, Mid-size, Enterprise|
|Pricing||Contact Sales||Contact Sales|
|Companies using it|