Here’s the difference between Google BigQuery and PipeRider. 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.
With PipeRider you can profile your data sources, create highly customizable data quality assertions, and generate insightful reports. It allows you to define the shape of your data once, and then use the data checking functionality to alert you to changes in your data quality.
Overview | ||
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Categories | Data Warehouses | Data Quality Monitoring |
Stage | Late Stage | Early Stage |
Target Segment | Enterprise, Mid size | SMB's, Mid-Size |
Deployment | SaaS | Open Source |
Business Model | Commercial | Open Source |
Pricing | Contact Sales | Freemium |
Location | US | Taipei City, Taiwan |
Companies using it | ||
Contact info |