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Count vs Querybook:
a side-by-side comparison for 2024

Comparing two data science notebooks.

A screenshot of Count
Count logo

Count

Count helps your data team work closer with the business so everyone is working on the problems that matter. Fast.
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A screenshot of Querybook
Querybook logo

Querybook

Querybook is Pinterest’s open-source big data IDE via a notebook interface.
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Count

Querybook

Setup

Is it managed?

Is it managed?

Fully managed (setup in minutes)
No, you must host it yourself

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
Not Jupyter-compatible

Programming languages

Programming languages

SQL
Python

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 to data warehouses (Snowflake, Google BigQuery, 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

Unknown
No reactivity, you decide the execution order

Notebook scheduling

Notebook scheduling

No notebook scheduling
Notebook scheduling is built in

Management

Reproducibility

Reproducibility

Unknown
With effort, you can make reproducible environments

Version history

Version history

Version history is built in
No version history

Collaborative editing

Collaborative editing

Multiple editors at the same time
Multiple editors at the same time

Comments

Comments

Comment on items within a notebook
No support for comments

Notebook organization

Notebook organization

View notebooks in a list
Unknown

Licensing

License

License

Proprietary
Open-source (Apache 2.0)

Price

Price

Free tier
Pay-per-user
Free

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