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Mode Notebooks vs Query.me:
a side-by-side comparison for 2024

Comparing two data science notebooks.

A screenshot of Mode Notebooks
Mode Notebooks logo

Mode Notebooks

Website
Native R & Python Notebooks. From SQL, explore your analysis using R or Python Notebooks.
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A screenshot of Query.me

Query.me

Website
Collaborative SQL Notebooks. A better way for data teams to analyze, unite & deliver.
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Mode Notebooks

Query.me

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
R
Python
SQL

What kind of data sources can you connect to?

What kind of data sources can you connect to?

Connect to databases (MariaDB, PostgreSQL, etc.)
Connect to data warehouses (Amazon Redshift, Google BigQuery, etc.)
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?

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

Notebook scheduling

Notebook scheduling is built in
Notebook scheduling is built in

Management

Reproducibility

Reproducibility

Environments are reproducible by default

Version history

Version history

No version history
No version history

Collaborative editing

Collaborative editing

Multiple editors, one at a time (asynchronous)
Multiple editors, one at a time (asynchronous)

Comments

Comments

No support for comments
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

Unknown
Free tier
Pay-per-user

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