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Hex vs Hyperquery:
a side-by-side comparison for 2024

Comparing two data science notebooks.

A screenshot of Hex
Hex logo

Hex

Website
The Data Workspace for Teams. Work with data in collaborative SQL and Python notebooks. Share as interactive data apps that anyone can use.
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A screenshot of Hyperquery
Hyperquery logo

Hyperquery

Website
Hyperquery is a data notebook that enables you to easily build shareable analyses in SQL and Python.
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Hex

Hyperquery

Setup

Is it managed?

Is it managed?

Fully managed (setup in minutes)
Fully managed (setup in minutes)

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?

Jupyter-compatible
Not Jupyter-compatible

Programming languages

Programming languages

Jupyter languages (e.g. Python, R)
SQL
Python
SQL

What kind of data sources can you connect to?

What kind of data sources can you connect to?

Connect with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
Connect to data warehouses (Google BigQuery, ClickHouse, etc.)
Connect to databases (MariaDB, SQL Server, etc.)
Provided file storage
Connect to data warehouses (AWS, GCP, etc.)
Connect to databases (Postgres, MS SQL, etc.)
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)
UI for building charts
UI for building charts
Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)

Reactivity

Reactivity

Full, realtime reactivity
No reactivity, you decide the execution order

Notebook scheduling

Notebook scheduling

Notebook scheduling is built in
No notebook scheduling

Management

Reproducibility

Reproducibility

Environments are reproducible by default
Execution is reproducible by default
Run notebooks in containers
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 list
View notebooks in a tree, like a wiki

Licensing

License

License

Proprietary
Proprietary

Price

Price

Free tier
Pay-per-user
Pay for compute
Free tier
Pay-per-user

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Alternatives to Hex and Hyperquery

Compare Hex and Hyperquery with other data science notebook tools.

ToolSetupJupyter compatibilityLanguagesData visualizationCollaborative editingPricingLicense

Hex

Fully managedJupyter-compatibleJupyter, SQLVisualize with code or UIRealtime collaborationFree and paid optionsProprietary

Hyperquery

Fully managedNonePython, SQLVisualize with code or UIRealtime collaborationFree and paid optionsProprietary

Deepnote

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Google Colab

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CoCalc

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Jetbrains Datalore

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Kaggle

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Fully managedJupyter-compatibleJupyterVisualize with codeLimited collaborationFreeProprietary

Nextjournal

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Noteable

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nteract

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Observable

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Fully managedNoneJSVisualize with codeRealtime collaborationFree and paid optionsProprietary

Query.me

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VS Code

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Zeppelin

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Count

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Fully managedNoneSQLVisualization UI builderRealtime collaborationFree and paid optionsProprietary

Husprey

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Fully managedNoneSQLVisualization UI builderFile-based or asynchronous collaborationFree and paid optionsProprietary

Pluto.jl

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Self-hostedNoneJuliaUnknownFile-based or asynchronous collaborationFreeOpen source

Polynote

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Self-hostedNoneScala, PythonUnknownFile-based or asynchronous collaborationFreeOpen source

Zepl

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Fully managedUnknownPython, RUnknownRealtime collaborationUnknownProprietary

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