Hex
The Data Workspace for Teams. Work with data in collaborative SQL and Python notebooks. Share as interactive data apps that anyone can use.
Hex vs Zepl:
a side-by-side comparison for 2024
Comparing two data science notebooks.
Zepl
Notebook-powered analytics for enterprise teams.
Hex
Zepl
Setup
Fully managed (setup in minutes)
Fully managed (setup in hours)
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
Unknown
Programming languages
Programming languages
Jupyter languages (e.g. Python, R)
SQL
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 data warehouses (Google BigQuery, ClickHouse, etc.)
Connect to databases (MariaDB, SQL Server, etc.)
Provided file storage
Unknown
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
Unknown
Reactivity
Reactivity
Full, realtime reactivity
Unknown
Notebook scheduling is built in
Notebook scheduling is built in
Management
Reproducibility
Reproducibility
Environments are reproducible by default
Execution is reproducible by default
Run notebooks in containers
Environments are reproducible by default
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 list
Unknown
Licensing
License
License
Proprietary
Proprietary
Price
Price
Free tier
Pay-per-user
Pay for compute
Unknown