Here’s the difference between Google BigQuery and Sifflet. 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.
You make important business decision based on data. Sifflet ensures the data is reliable, traceable and easy to navigate.
| Overview | ||
|---|---|---|
| Categories | Data Warehouses | Data Quality Monitoring |
| Stage | Late Stage | Early Stage |
| Target Segment | Enterprise, Mid size | Mid size, Enterprise |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Contact Sales | Custom, Usage based |
| Location | US | Paris, France |
| Companies using it | ||
| Contact info |