Hyperquery
WebsiteHyperquery is a data notebook that enables you to easily build shareable analyses in SQL and Python.
Hyperquery vs Looker:
a side-by-side comparison for 2024
Comparing two data science notebooks.
Looker
WebsiteLooker is a powerful BI tool that allows data analysts to create interactive dashboards, explore and analyze data from multiple sources with ease, and ensure robust data governance.
Hyperquery
Looker
Setup
Fully managed (setup in minutes)
Fully managed (setup in hours)
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
Jupyter-compatible
Programming languages
Programming languages
Python
SQL
SQL
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, MS SQL, etc.)
Connect with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
Provided file storage
What kind of data visualization can you do?
What kind of data visualization can you do?
UI for building charts
Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
UI for building charts
Reactivity
Reactivity
No reactivity, you decide the execution order
Reactivity with caveats
No notebook scheduling
Notebook scheduling is built in
Management
Reproducibility
Reproducibility
Environments are reproducible by default
Unknown
Version history is built in
No version history
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 tree, like a wiki
View notebooks in a list
Licensing
License
License
Proprietary
Proprietary
Price
Price
Free tier
Pay-per-user
Free tier
Pay for compute