Hyperquery
WebsiteHyperquery is a data notebook that enables you to easily build shareable analyses in SQL and Python.
Hyperquery vs Zepl:
a side-by-side comparison for 2024
Comparing two data science notebooks.
Zepl
WebsiteNotebook-powered analytics for enterprise teams.
Hyperquery
Zepl
Setup
Is it managed?
Is it managed?
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
No, you must use a managed offering
Features
Is it Jupyter compatible?
Is it Jupyter compatible?
Not Jupyter-compatible
Unknown
Programming languages
Programming languages
Python
SQL
Python
R
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)
Unknown
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)
Unknown
Reactivity
Reactivity
No reactivity, you decide the execution order
Unknown
Notebook scheduling
Notebook scheduling
No notebook scheduling
Notebook scheduling is built in
Management
Reproducibility
Reproducibility
Environments are reproducible by default
Environments are reproducible by default
Version history
Version history
Version history is built in
Version history is built in
Collaborative editing
Collaborative editing
Multiple editors at the same time
Multiple editors at the same time
Comments
Comments
Comment on items within a notebook
Comment on items within a notebook
Notebook organization
Notebook organization
View notebooks in a tree, like a wiki
Unknown
Licensing
License
License
Proprietary
Proprietary
Price
Price
Free tier
Pay-per-user
Unknown