Jetbrains Datalore vs Querybook: a side-by-side comparison for 2024
Comparing two data science notebooks.
Jetbrains Datalore
A powerful online environment for Jupyter notebooks. Use smart coding assistance for Python in online Jupyter notebooks, run code on powerful CPUs and GPUs, collaborate in real-time, and easily share the results.
Querybook
Querybook is Pinterest’s open-source big data IDE via a notebook interface.
Jetbrains Datalore
Querybook
Setup
Is it managed?
Is it managed?
Fully managed (setup in minutes)
No, you must host it yourself
Can you self-host?
Can you self-host?
No, you must use a managed offering
You can self-host (setup in hours)
Features
Is it Jupyter compatible?
Is it Jupyter compatible?
Jupyter-compatible
Not Jupyter-compatible
Programming languages
Programming languages
Jupyter languages (e.g. Python, R)
Python
What kind of data sources can you connect to?
What kind of data sources can you connect to?
Connect with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
Connect to databases (MySQL, PostgreSQL)
Connect to data warehouses (Snowflake, etc.)
Provided file storage
Connect to data warehouses (Snowflake, Google BigQuery, etc.)
Connect to databases (PostgreSQL, MySQL, etc.)
What kind of data visualization can you do?
What kind of data visualization can you do?
Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
UI for building charts
UI for building charts
Reactivity
Reactivity
Full, realtime reactivity
No reactivity, you decide the execution order
Notebook scheduling
Notebook scheduling
Notebook scheduling is built in
Notebook scheduling is built in
Management
Reproducibility
Reproducibility
Environments are reproducible by default
With effort, you can make reproducible environments