Compare - Cazena VS Great Expectations
Here’s the difference between Cazena and Great Expectations. The comparison is based on pricing, deployment, business model, and other important factors.
About Cazena
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.
About Great Expectations
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.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Lakes | Data Quality Monitoring |
| Stage | Mid Stage | Early Stage |
| Target Segment | Enterprise, Mid size | Mid size |
| Deployment | SaaS | On Prem |
| Business Model | Commercial | Open Source |
| Pricing | Contact Sales | Freemium |
| Location | US | California, US |
| Companies using it | ||
| Contact info |
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