Count
WebsiteCount helps your data team work closer with the business so everyone is working on the problems that matter. Fast.
Count vs Databricks Notebooks:
a side-by-side comparison for 2024
Comparing two data science notebooks.
Databricks Notebooks
WebsiteCollaborate across engineering, data science, and machine learning teams with support for multiple languages, built-in data visualizations, automatic versioning, and operationalization with jobs.
Count
Databricks Notebooks
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
You can self-host (setup in hours)
Features
Is it Jupyter compatible?
Is it Jupyter compatible?
Not Jupyter-compatible
Jupyter-compatible
Programming languages
Programming languages
SQL
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 to data warehouses (AWS, GCP, etc.)
Connect to databases (Postgres, MongoDB, etc.)
Connect with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
Connect to data warehouses (Databricks)
What kind of data visualization can you do?
What kind of data visualization can you do?
UI for building charts
Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
UI for building charts
Reactivity
Reactivity
Unknown
No reactivity, you decide the execution order
No notebook scheduling
Notebook scheduling is built in
Management
Reproducibility
Reproducibility
Unknown
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
View notebooks in a list
Licensing
License
License
Proprietary
Proprietary
Price
Price
Free tier
Pay-per-user
Free tier
Pay for compute