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NocoDB VS Deepnote

Compare NocoDB VS Deepnote and see what are their differences

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NocoDB logo NocoDB

The Open Source Airtable alternative

Deepnote logo Deepnote

A collaboration platform for data scientists
  • NocoDB Landing page
    Landing page //
    2023-08-29
  • Deepnote Landing page
    Landing page //
    2023-10-09

NocoDB features and specs

  • Open Source
    NocoDB is an open-source platform, making it highly customizable and cost-effective for both individual developers and organizations.
  • User Friendly
    The interface is designed to be intuitive and easy to use, lowering the barrier for non-technical users to create and manage databases visually.
  • Integration Capabilities
    NocoDB supports a wide range of integrations with other popular tools and services, enabling seamless workflows and data synchronization.
  • Collaboration
    The platform allows multiple users to collaborate on projects in real time, which is beneficial for team-based projects and remote work setups.
  • Data Security
    Being open source, users can handle their own data security and privacy as per their specific requirements, which can be advantageous over cloud-dependent solutions.
  • Extensible
    Offers an API-first approach, allowing developers to extend its functionalities and integrate it into existing systems easily.

Possible disadvantages of NocoDB

  • Limited Community Support
    As a relatively new player, the community and third-party support may not be as vast and well-established as more mature platforms.
  • Self-Hosting Requirements
    Requires users to manage their own hosting environment, which can be a drawback for those looking for a fully managed service.
  • Steep Learning Curve for Advanced Features
    While basic features are user-friendly, utilizing advanced functionalities may require a steeper learning curve, particularly for those unfamiliar with database management.
  • Performance Concerns
    Being dependent on the hosting environment and configurations, performance might not be optimal compared to proprietary SaaS solutions.
  • Scalability Issues
    Scaling the application might require significant technical expertise, particularly in configuring and managing the underlying infrastructure.
  • Inconsistent Updates
    Reliance on community contributions for updates can lead to less predictable release schedules, which might delay access to new features or bug fixes.

Deepnote features and specs

  • Collaborative Features
    Deepnote allows for real-time collaboration, similar to Google Docs, where multiple users can work on the same notebook simultaneously without conflicts.
  • Integration with Popular Tools
    Deepnote integrates seamlessly with popular data sources and tools such as Google Drive, GitHub, and SQL databases, enhancing its versatility for data science projects.
  • User-Friendly Interface
    The interface is clean and easy to navigate, making it accessible for both beginners and experienced data scientists.
  • Cloud-Based
    Being a cloud-based solution, Deepnote eliminates the need for local setup and maintenance, allowing users to access their projects from anywhere with internet access.
  • Data Security
    Deepnote provides robust security features, ensuring that your data and notebooks are protected against unauthorized access.
  • Integrated Version Control
    Version control within Deepnote allows users to track changes, revert to previous versions, and collaborate more effectively on shared projects.

Possible disadvantages of Deepnote

  • Limited Offline Access
    As a cloud-based platform, Deepnote requires an internet connection for most of its functionality, which can be a limitation for users needing offline access.
  • Performance Constraints
    Heavy computational tasks might be limited by the performance capabilities of the cloud resources provided, affecting users who require extensive computational power.
  • Subscription Costs
    While there is a free tier, advanced features and increased resource limits come at a subscription cost, which might be a consideration for students or hobbyists.
  • Learning Curve for Advanced Features
    While basic functionality is user-friendly, mastering the more advanced features and integrations may require a learning curve, especially for users new to data science tools.
  • Dependency on External Infrastructure
    The performance and availability of Deepnote can be affected by issues with their cloud service providers, which adds a layer of dependency on external infrastructure.

NocoDB videos

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Deepnote videos

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Could this be the Best Data Science Notebook? (Deepnote)

Category Popularity

0-100% (relative to NocoDB and Deepnote)

NocoDB

Deepnote

Spreadsheets
100 100%
Spreadsheets
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Productivity
70 70%
Productivity
30% 30
AI
0 0%
AI
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare NocoDB and Deepnote

NocoDB Reviews

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Deepnote Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Deepnote is a cloud-based data science notebook platform comparable to Jupyter Notebooks but with a focus on real-time collaboration and editing. It lets users write and run code in several programming languages, as well as include text, equations, and visualizations in a single document.
Source: lakefs.io
7 best Colab alternatives in 2023
Deepnote is a real-time collaborative notebook. It offers features like real-time collaboration, version control, and smart autocomplete. It also provides direct integrations with popular data sources like GitHub, Google Drive, and BigQuery. Its modern, intuitive interface makes it a compelling choice for both beginners and experienced data scientists.
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Deepnote is a cloud-based, data science notebook platform that is similar to Jupyter Notebooks, but with a focus on collaboration and real-time editing. It allows users to write and execute code in a variety of programming languages, as well as include text, equations, and visualizations in a single document. Deepnote also has a built-in code editor and supports a wide range...
Source: noteable.io
The Best ML Notebooks And Infrastructure Tools For Data Scientists
A Jupyter-notebook enabled platform, Deepnote boasts of many advanced features. Deepnote supports real-time collaboration to discuss and debug the code. The platform will soon have functions such as versioning, code review, and reproducibility. Deepnote has intelligent features to quickly browse the code, find patterns in your data, and autocomplete code. It can integrate...
Source: analyticsindiamag.com

Social recommendations and mentions

NocoDB might be a bit more popular than Deepnote. We know about 35 links to it since March 2021 and only 34 links to Deepnote. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

NocoDB mentions (35)

  • Wikipedia and Stack Overflow Search
    Hi, https://mach3db.com is now a frontend to search Wikipedia and Stack Overflow article titles. Right now I only have simple substring search to reduce load on my server. The results are clickable links that point to lightweight versions of Wikipedia and Stack Overflow articles. Please give it a try! It works best in the Vivaldi browser: https://vivaldi.com/ Stack Overflow results can also be filtered by minimum... - Source: Hacker News / 4 months ago
  • How to Build Internal Tools 100x Faster
    It is possible to speed up the development and delivery process for many internal applications by using no-code or low code tools. These vary in offerings from open source to SaaS, including popular ones like AirTable, BudiBase, Retool, NocoDB and others. These can all greatly help speed up delivery times. - Source: dev.to / 5 months ago
  • Show HN: Visual DB – Web front end for your database
    How would you describe the differences with https://nocodb.com/ ? - Source: Hacker News / 8 months ago
  • Getting my feet wet with Kubernetes
    Inside each namespace, there are K8 services pointing to self hosted tools (at this point, I’ve only got NocoDB setup). Each namespace also has a Postgres database. The database is hostpath storage mounted since I am only using single node clusters and also didn’t have time to look too much into “Stateful Sets” and how to correctly host a database within a K8 cluster. - Source: dev.to / 11 months ago
  • Pocketbase: Open-source back end in 1 file
    It is great to see the number of good opensource projects in this area. Grist and NocoDB deserve mentions, although more targeted towards database management. It is also amazing that they provide so simple ways to get started (single file/electron) - https://github.com/gristlabs. - Source: Hacker News / over 1 year ago
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Deepnote mentions (34)

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What are some alternatives?

When comparing NocoDB and Deepnote, you can also consider the following products

Airtable - Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.

Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.

Baserow - Open source no-code database and Airtable alternative. Create your own online database without technical experience. Performant with high volumes of data, can be self hosted and supports plugins

Apache Zeppelin - A web-based notebook that enables interactive data analytics.

Rows - The spreadsheet where teams work faster

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

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