Here’s the difference between Google BigQuery and Apache Hudi. 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.
Hudi is a rich platform to build streaming data lakes with incremental data pipelines on a self-managing database layer, while being optimized for lake engines and regular batch processing.
Overview | ||
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Categories | Data Warehouses | Data Lakes |
Stage | Late Stage | Early Stage |
Target Segment | Enterprise, Mid size | Mid Size, Enterprise |
Deployment | SaaS | Open Source |
Business Model | Commercial | Open Source |
Pricing | Contact Sales | Freemium |
Location | US | California, US |
Companies using it | ||
Contact info |