Here’s the difference between Deepnote and Apache Spark. 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.
Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.
Overview | ||
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Categories | Data Workspace/ Collaboration | Data Modelling and Transformation |
Stage | Early Stage | Late Stage |
Target Segment | Mid size, Enterprise | Mid Size, Enterprise |
Deployment | SaaS | On Prem |
Business Model | Commercial | Open Source |
Pricing | Freemium, Contact Sales | Freemium |
Location | San Francisco, California | US |
Companies using it | ||
Contact info |