Compare - Amundsen VS Google BigQuery

Here’s the difference between Amundsen and Google BigQuery. The comparison is based on pricing, deployment, business model, and other important factors.

About Amundsen

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.

About Google BigQuery

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.

Comparison Table

Overview
CategoriesData Discovery, Data CatalogingData Warehouses
StageEarly StageLate Stage
Target SegmentMid sizeEnterprise, Mid size
DeploymentOn PremSaaS
Business ModelOpen SourceCommercial
PricingFree trialContact Sales
LocationUSUS
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Contact info

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