Here’s the difference between Google BigQuery and Avo. The comparison is based on pricing, deployment, business model, and other important factors.
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.
Avo is a next-generation analytics governance tool improving how product managers, developers, and data teams plan, track, and govern product analytics across organizations. Avos tracking plan interface lets teams standardize event schemas, branched workflows and peer reviews keep stakeholders informed, and type safe analytics code and debuggers make implementation faster than ever. Avo works seamlessly with existing analytics tooling so teams can ship faster without compromising data quality.
Overview | ||
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Categories | Data Warehouses | Data Privacy and Governance, Product Analytics |
Stage | Late Stage | Early Stage |
Target Segment | Enterprise, Mid size | Enterprise, Mid size |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Contact Sales | Freemium, Contact Sales |
Location | US | San Francisco |
Companies using it | ||
Contact info |