Querybook
Querybook is Pinterest’s open-source big data IDE via a notebook interface.
Querybook vs Deepnote:
a side-by-side comparison for 2024
Comparing two data science notebooks.
Deepnote
Deepnote is a new kind of data notebook that’s built for collaboration — Jupyter compatible, works magically in the cloud, and sharing is as easy as sending a link.
Querybook
Deepnote
Setup
No, you must host it yourself
Fully managed (setup in minutes)
Can you self-host?
Can you self-host?
You can self-host (setup in hours)
No, you must use a managed offering
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)
SQL
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)
Connect to data warehouses (AWS, GCP, etc.)
Connect to databases (Postgres, MongoDB, etc.)
Provided file storage
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)
UI for building charts
Reactivity
Reactivity
No reactivity, you decide the execution order
Full, realtime reactivity
Notebook scheduling is built in
Notebook scheduling is built in
Management
Reproducibility
Reproducibility
With effort, you can make reproducible environments
Environments are reproducible by default
Run notebooks in containers
No version history
Version history is built in
Multiple editors at the same time
Multiple editors at the same time
Comments
Comments
No support for comments
Comment on items within a notebook
Notebook organization
Notebook organization
Unknown
View notebooks in a tree, like a wiki
Licensing
License
License
Open-source (Apache 2.0)
Proprietary
Price
Price
Free
Free tier
Pay for compute
Pay-per-user