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