Here’s the difference between Amundsen and Google BigQuery. The comparison is based on pricing, deployment, business model, and other important factors.
Open-source data discovery and metadata platform. Data engineers and analysts can search for data within the organization by a simple text search and the page rank search algorithm recommends results based on names, descriptions, tags, and querying/viewing activity on the table/dashboard. Also, it allows to build trust in data using automated metadata.
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 | ||
|---|---|---|
| Categories | Data Discovery, Data Cataloging | Data Warehouses |
| Stage | Early Stage | Late Stage |
| Target Segment | Mid size | Enterprise, Mid size |
| Deployment | On Prem | SaaS |
| Business Model | Open Source | Commercial |
| Pricing | Free trial | Contact Sales |
| Location | US | US |
| Companies using it | ||
| Contact info |