Compare - Cazena VS Google BigQuery

Here’s the difference between Cazena and Google BigQuery. 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 Google BigQuery

BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a Platform as a Service that supports querying using ANSI SQL. It also has built-in machine learning capabilities. BigQuery was announced in May 2010 and made generally available in November 2011.

Comparison Table

Overview
CategoriesData LakesData Warehouses
StageMid StageLate Stage
Target SegmentEnterprise, Mid sizeEnterprise, Mid size
DeploymentSaaSSaaS
Business ModelCommercialCommercial
PricingContact SalesContact Sales
LocationUSUS
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