Querybook
WebsiteQuerybook is Pinterest’s open-source big data IDE via a notebook interface.
Querybook vs VS Code:
a side-by-side comparison for 2024
Comparing two data science notebooks.
VS Code
WebsiteVisual Studio Code is a lightweight but powerful source code editor. It supports working with Jupyter Notebooks natively, as well as through Python code files.
Querybook
VS Code
Setup
No, you must host it yourself
No, you must host it yourself
Can you self-host?
Can you self-host?
You can self-host (setup in hours)
You can self-host (setup in hours)
Features
Is it Jupyter compatible?
Is it Jupyter compatible?
Not Jupyter-compatible
Jupyter-compatible
Programming languages
Programming languages
Python
Jupyter languages (e.g. Python, R)
What kind of data sources can you connect to?
What kind of data sources can you connect to?
Connect to data warehouses (Snowflake, Google BigQuery, etc.)
Connect to databases (PostgreSQL, MySQL, etc.)
Connect with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
What kind of data visualization can you do?
What kind of data visualization can you do?
UI for building charts
Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
Reactivity
Reactivity
No reactivity, you decide the execution order
No reactivity, you decide the execution order
Notebook scheduling is built in
Notebook scheduling with additional tools
Management
Reproducibility
Reproducibility
With effort, you can make reproducible environments
There is no support for reproducibility
No version history
File-based (use Git)
Multiple editors at the same time
File-based (use Git)
Comments
Comments
No support for comments
File-based (use GitHub)
Notebook organization
Notebook organization
Unknown
File-based
Licensing
License
License
Open-source (Apache 2.0)
Open-source (MIT)
Price
Price
Free
Free