Count
WebsiteCount helps your data team work closer with the business so everyone is working on the problems that matter. Fast.
Count vs Mode Notebooks:
a side-by-side comparison for 2024
Comparing two data science notebooks.
Mode Notebooks
WebsiteNative R & Python Notebooks. From SQL, explore your analysis using R or Python Notebooks.
Count
Mode Notebooks
Setup
Is it managed?
Is it managed?
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?
Not Jupyter-compatible
Not Jupyter-compatible
Programming languages
Programming languages
SQL
SQL
R
Python
What kind of data sources can you connect to?
What kind of data sources can you connect to?
Connect to data warehouses (AWS, GCP, etc.)
Connect to databases (Postgres, MongoDB, etc.)
Connect to databases (MariaDB, PostgreSQL, etc.)
Connect to data warehouses (Amazon Redshift, Google BigQuery, etc.)
What kind of data visualization can you do?
What kind of data visualization can you do?
UI for building charts
UI for building charts
Reactivity
Reactivity
Unknown
No reactivity, you decide the execution order
Notebook scheduling
Notebook scheduling
No notebook scheduling
Notebook scheduling is built in
Management
Reproducibility
Reproducibility
Unknown
Environments are reproducible by default
Version history
Version history
Version history is built in
No version history
Collaborative editing
Collaborative editing
Multiple editors at the same time
Multiple editors, one at a time (asynchronous)
Comments
Comments
Comment on items within a notebook
No support for comments
Notebook organization
Notebook organization
View notebooks in a list
View notebooks in a list
Licensing
License
License
Proprietary
Proprietary
Price
Price
Free tier
Pay-per-user
Unknown