ChatGPT data analysis vs Querybook: a side-by-side comparison for 2024
Comparing two data science notebooks.
ChatGPT data analysis
ChatGPT is a versatile platform for data analysis, enabling data scientists and analysts to easily generate Python code and extract valuable insights. It excels in tasks such as exploratory data analysis and AI tooling, providing a robust foundation for complex data science projects.
Querybook
Querybook is Pinterest’s open-source big data IDE via a notebook interface.
ChatGPT data analysis
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
Python
SQL
Julia
R
Python
What kind of data sources can you connect to?
What kind of data sources can you connect to?
Provided file storage
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?
Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
UI for building charts
Reactivity
Reactivity
No reactivity, you decide the execution order
No reactivity, you decide the execution order
Notebook scheduling
Notebook scheduling
No notebook scheduling
Notebook scheduling is built in
Management
Reproducibility
Reproducibility
There is no support for reproducibility
With effort, you can make reproducible environments
