Count
WebsiteCount helps your data team work closer with the business so everyone is working on the problems that matter. Fast.
Count vs Observable:
a side-by-side comparison for 2024
Comparing two data science notebooks.
Observable
WebsiteMake sense of the world with data, together. Explore, visualize, and analyze data. Collaborate with the community. Learn and be inspired. Share insights with the world.
Count
Observable
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
JS
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 JS libraries (e.g. REST APIs)
Connect to databases (MySQL, Postgres)
Connect to data warehouses (BigQuery, Snowflake)
Provided file storage
What kind of data visualization can you do?
What kind of data visualization can you do?
UI for building charts
JS data visualization (e.g. D3, Vega)
Reactivity
Reactivity
Unknown
Full, realtime reactivity
Notebook scheduling
Notebook scheduling
No notebook scheduling
No notebook scheduling
Management
Reproducibility
Reproducibility
Unknown
Environments are reproducible by default
Execution is reproducible by default
Version history
Version history
Version history is built in
Version history is built in
Collaborative editing
Collaborative editing
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
Free trial (1 month)
Pay-per-user