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.
Jetbrains Datalore vs Hex:
a side-by-side comparison for 2024
Comparing two data science notebooks.
Hex
The Data Workspace for Teams. Work with data in collaborative SQL and Python notebooks. Share as interactive data apps that anyone can use.
Jetbrains Datalore
Hex
Setup
Fully managed (setup in minutes)
Fully managed (setup in minutes)
Can you self-host?
Can you self-host?
No, you must use a managed offering
No, you must use a managed offering
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)
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)
Connect to databases (MySQL, PostgreSQL)
Connect to data warehouses (Snowflake, etc.)
Provided file storage
Connect with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
Connect to data warehouses (Google BigQuery, ClickHouse, etc.)
Connect to databases (MariaDB, SQL Server, etc.)
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
Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
UI for building charts
Reactivity
Reactivity
Full, realtime reactivity
Full, realtime reactivity
Notebook scheduling is built in
Notebook scheduling is built in
Management
Reproducibility
Reproducibility
Environments are reproducible by default
Environments are reproducible by default
Execution is reproducible by default
Run notebooks in containers
Version history is built in
Version history is built in
Multiple editors at the same time
Multiple editors at the same time
Comments
Comments
Comment on items within a notebook
Comment on items within a notebook
Notebook organization
Notebook organization
View notebooks in a tree, like a wiki
View notebooks in a list
Licensing
License
License
Proprietary
Proprietary
Price
Price
Free tier
Pay-per-user
Pay for compute
Free tier
Pay-per-user
Pay for compute