Jetbrains Datalore vs nteract: 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.
nteract
nteract is an open-source organization committed to creating fantastic interactive computing experiences that allow people to collaborate with ease.
Jetbrains Datalore
nteract
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 minutes)
Features
Is it Jupyter compatible?
Is it Jupyter compatible?
Jupyter-compatible
Jupyter-compatible
Programming languages
Programming languages
Jupyter languages (e.g. Python, R)
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 with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
Connect to databases (MySQL, PostgreSQL)
Connect to data warehouses (Snowflake, etc.)
Provided file storage
Connect with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
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
Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
Reactivity
Reactivity
Full, realtime reactivity
No reactivity, you decide the execution order
Notebook scheduling
Notebook scheduling
Notebook scheduling is built in
Notebook scheduling with additional tools
Management
Reproducibility
Reproducibility
Environments are reproducible by default
With effort, you can make reproducible environments