Hyperquery Amazon Sagemaker 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?
Programming languages Programming languages Jupyter languages (e.g. 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)
Connect with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
What kind of data visualization can you do? What kind of data visualization can you do? Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
Reactivity Reactivity No reactivity, you decide the execution order
No reactivity, you decide the execution order
Notebook scheduling Notebook scheduling Notebook scheduling with additional tools
Management
Reproducibility Reproducibility Environments are reproducible by default
There is no support for reproducibility
Version history Version history Version history is built in
Collaborative editing Collaborative editing Multiple editors at the same time
No support for collaborative editors
Comments Comments Comment on items within a notebook
Notebook organization Notebook organization View notebooks in a tree, like a wiki
Licensing
License License
Price Price