Here’s the difference between PostHog and Google BigQuery. The comparison is based on pricing, deployment, business model, and other important factors.
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.
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.
Overview | ||
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Categories | Product Analytics | Data Warehouses |
Stage | Early Stage | Late Stage |
Target Segment | Enterprise, Mid size | Enterprise, Mid size |
Deployment | Open source | SaaS |
Business Model | Open Source | Commercial |
Pricing | Freemium, Contact Sales | Contact Sales |
Location | San Francisco, California | US |
Companies using it | ||
Contact info |