Here’s the difference between Preset and Deepnote. The comparison is based on pricing, deployment, business model, and other important factors.
Preset provides data analytics platform for teams. It is an open-source platform that allows users to analyze and provides actionable insights about the data. Its products include Superset that enables visualize data and build dashboards to interpret and show hidden patterns from the data. It enables users to share reports and insights with teams and explore data analytics solutions. It can be integrated with Amazon RedShift, Google BigQuery, Presto and Druid.
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.
Overview | ||
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Categories | Business Intelligence (BI) | Data Workspace/ Collaboration |
Stage | Early Stage | Early Stage |
Target Segment | Mid size | Mid size, Enterprise |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Contact Sales | Freemium, Contact Sales |
Location | California, US | San Francisco, California |
Companies using it | ||
Contact info |