Databricks Notebooks Noteable 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? You can self-host (setup in hours)
You can self-host (setup in hours)
Features
Is it Jupyter compatible? Is it Jupyter compatible?
Programming languages Programming languages Jupyter languages (e.g. Python, R)
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 with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
Connect to data warehouses (Databricks)
Connect with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
Connect to databases (Trino, Snowflake, CockroachDB, PostgreSQL)
Connect to data warehouses (Amazon Redshift, Google BigQuery, Databricks)
What kind of data visualization can you do? What kind of data visualization can you do? Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
Reactivity Reactivity No reactivity, you decide the execution order
No reactivity, you decide the execution order
Notebook scheduling Notebook scheduling Notebook scheduling is built in
Notebook scheduling is built in
Notebook scheduling with additional tools
Management
Reproducibility Reproducibility Environments are reproducible by default
Environments are reproducible by default
Execution is reproducible by default
Run notebooks in containers
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
Comment on a notebook as a whole
Notebook organization Notebook organization Licensing
License License
Price Price