Here’s the difference between Lakefs and Google BigQuery. The comparison is based on pricing, deployment, business model, and other important factors.
Cloud-based data analytics and data lake management platform. The features of the solution include databases, data science, data collection, data storage, data analysis, data monitoring, data migrating, etc. It also provides open-source storage-based data lakes operations platform.
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 Lakes | Data Warehouses |
Stage | Early Stage | Late Stage |
Target Segment | Mid size | Enterprise, Mid size |
Deployment | Open source | SaaS |
Business Model | Open Source | Commercial |
Pricing | Freemium | Contact Sales |
Location | Tel Aviv, Israel | US |
Companies using it | ||
Contact info |