Overview

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Deepnote is a collaborative data workspace where data science and analytics teams turn to solve their hardest problems. With Deepnote, data teams can:
- Explore data by simply opening a browser, connecting to one or many data sources, and code with Python, SQL, or both together.
- Get to answers faster by collaborating via a shared, cloud environment and with productivity features for commenting, version control, scheduling, autocomplete, and a lot more.
- Share analysis with stakeholders by sending a link and make insights more discoverable through a shared workspace that organizes all of your data projects.
Highlights
- Explore data by simply opening a browser, connecting to one or many data sources, and code with Python, SQL, or both together.
- Get to answers faster by collaborating via a shared, cloud environment and with productivity features for commenting, version control, scheduling, autocomplete, and a lot more.
- Share analysis with stakeholders by sending a link and make insights more discoverable through a shared workspace that organizes all of your data projects.
Details
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Pricing
Dimension | Description | Cost/12 months |
---|---|---|
Enterprise Plan | 10 editors + unlimited viewers | $22,000.00 |
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Email: help@deepnote.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Deepnote is a really cool instrument.
I will recommend DeepNote to my students too (for laboratory works).
Review of Deepnote
Best notebooks I've found
Deepnote Makes Data Work Simple and Organized
Deepnote Makes Collaboration Effortless
- No local configuration nightmares - packages and environments are managed in the cloud, so you can start working immediately.
- Built-in connectors to BigQuery, Snowflake, PostgreSQL, Google Sheets, etc., make it easy to pull data without juggling API keys and drivers.
- You can hit memory or runtime caps quickly if you’re doing heavy ML or large ETL work unless you upgrade to higher-tier plans.
- Converting notebooks to .ipynb or other formats works, but sometimes you lose small bits of formatting or Deepnote-specific features.
- Deepnote’s cloud environment is ready to go, with easy package management and prebuilt integrations, so onboarding new collaborators takes minutes, not hours.
- Built-in connectors allow quick, secure access to live data without messy credential sharing.
- Deepnote keeps a clean version history and branching system built into the UI, so you can experiment and roll back without technical overhead.