Here’s the difference between Deepnote and Google BigQuery. The comparison is based on pricing, deployment, business model, and other important factors.
Deepnote provides programming notebooks for developers. The product offers variables & plots, code intelligence, real-time collaboration. It also provides integration with GitHub and GitLab, Amazon S3, MongoDB, GCS buckets, PostgreSQL connections. It offers a data science book that provides deployment. Also, it enables to review of project work, visualizes data, and offers intelligent completion solutions.
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 Workspace/ Collaboration | Data Warehouses |
Stage | Early Stage | Late Stage |
Target Segment | Mid size, Enterprise | Enterprise, Mid size |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Freemium, Contact Sales | Contact Sales |
Location | San Francisco, California | US |
Companies using it | ||
Contact info |