Here’s the difference between Cazena and PostHog. 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.
Provider of product analytics tools. The features of the product include user behavior analysis, analyzation of trends, funnels, retention, and cohorts, compatibility, secure data access, etc. It also provides data retention, support, SSO/SAML, export to data lakes, pricing model, analytics stack, infrastructure, etc. The clients of the company include HASURA, TINKOFF, Staples, etc.
Overview | ||
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Categories | Data Lakes | Product Analytics |
Stage | Mid Stage | Early Stage |
Target Segment | Enterprise, Mid size | Enterprise, Mid size |
Deployment | SaaS | Open source |
Business Model | Commercial | Open Source |
Pricing | Contact Sales | Freemium, Contact Sales |
Location | US | San Francisco, California |
Companies using it | ||
Contact info |