Here’s the difference between Great Expectations and Cazena. The comparison is based on pricing, deployment, business model, and other important factors.
Great Expectations provides open-source enterprise data management solutions. It helps data teams eliminate pipeline debt, through data testing, documentation, and profiling. It maintains up-to-date data documentation by rendering expectations directly into clean, human-readable documentation. Users can join to GitHub and Slack community groups.
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.
Overview | ||
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Categories | Data Quality Monitoring | Data Lakes |
Stage | Early Stage | Mid Stage |
Target Segment | Mid size | Enterprise, Mid size |
Deployment | On Prem | SaaS |
Business Model | Open Source | Commercial |
Pricing | Freemium | Contact Sales |
Location | California, US | US |
Companies using it | ||
Contact info |