Here’s the difference between Alvin and Google BigQuery. The comparison is based on pricing, deployment, business model, and other important factors.
Provider of the cataloging and metadata management software solution. It provides a plug and play data lineage solutions for data engineers. It also provides manually mapping data bytes, impact analysis, granular usage analytics, error & problem tracing, etc. It also provides data flow & codes, in-content usage matrix for columns, tables and dashboards.
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 | SMBs, Mid size, Enterprise | Enterprise, Mid size |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Contact Sales | Contact Sales |
Location | Tallinn, Harjumaa | US |
Companies using it | ||
Contact info |