Jupyter vs Looker: a side-by-side comparison for 2024
Comparing two data science notebooks.
Jupyter
Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. There's a number of vendors offering Jupyter notebooks as a managed service.
Looker is a powerful BI tool that allows data analysts to create interactive dashboards, explore and analyze data from multiple sources with ease, and ensure robust data governance.
Jupyter
Looker
Setup
Is it managed?
Is it managed?
No, you must host it yourself
Fully managed (setup in hours)
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?
Jupyter-compatible
Jupyter-compatible
Programming languages
Programming languages
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 with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
Provided file storage
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
Reactivity
Reactivity
No reactivity, you decide the execution order
Reactivity with caveats
Notebook scheduling
Notebook scheduling
Notebook scheduling with additional tools
Notebook scheduling is built in
Management
Reproducibility
Reproducibility
With effort, you can make reproducible environments