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.
Databricks Notebooks vs Query.me:
a side-by-side comparison for 2024
Comparing two data science notebooks.
Query.me
WebsiteCollaborative SQL Notebooks. A better way for data teams to analyze, unite & deliver.
Databricks Notebooks
Query.me
Setup
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)
No, you must use a managed offering
Features
Is it Jupyter compatible?
Is it Jupyter compatible?
Jupyter-compatible
Not Jupyter-compatible
Programming languages
Programming languages
Jupyter languages (e.g. Python, R)
SQL
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 to data warehouses (Snowflake, Clickhouse, etc.)
Connect to databases (PostgreSQL, MySQL, etc.)
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
UI for building charts
Reactivity
Reactivity
No reactivity, you decide the execution order
No reactivity, you decide the execution order
Notebook scheduling is built in
Notebook scheduling is built in
Management
Reproducibility
Reproducibility
Environments are reproducible by default
Version history is built in
No version history
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 for compute
Free tier
Pay-per-user