Hex vs DataLab:
a side by side comparison 2024

AI integration

AI-driven features, especially in the realm of Machine learning.

Intuitive yet advanced Generative AI-assisted coding and analysis increase productivity without deep technical expertise.

Jupyter Compatibility

Proprietary environment. While Hex has a proprietary environment, which can provide a more tailored experience, it lacks the direct Jupyter support. DataLab’s full Jupyter compatibility makes it a natural choice for data teams with established Jupyter processes.

Fully Compatible One of DataLab’s key strengths is its seamless integration with the Jupyter ecosystem, making it an excellent choice for users familiar with Jupyter notebooks. This allows for an effortless transition between existing workflows and the new platform, especially for those looking to extend their Jupyter notebook use.

Exploratory Coding

Hex also facilitates exploratory coding, particularly for teams that switch between SQL and Python. While both platforms provide rich environments for exploration, DataLab’s Jupyter foundation and integration with popular libraries make it a more accessible choice for both novices and experts alike.

DataLab shines in exploratory coding, offering a flexible, user-friendly environment for rapid prototyping, experimentation, and data exploration. The integration with popular coding languages like Python and R means that users have full access to the tools and libraries they are familiar with, allowing them to explore and iterate quickly.

Interacting and Visualizing Your Data

Hex emphasizes interactivity with its built-in visualization features. However, for users who are familiar with Python’s vast library ecosystem, DataLab offers unparalleled flexibility and control, making it the stronger option for tailored data visualizations.

Specialized workflows & templates, portfolio hosting on DataCamp. DataLab believes in supporting users during their entire data journey, including buildout out their portfolio to obtain jobs in their chosen field. DataLab has created specialized workflows, templates and projects that users can leverage to build out their portfolio, which can then be hosted at Datacamp.com or exported as needed.

Portfolio Building

Basic report-sharing, relies on external resources. Hex offers portfolio-building options primarily through its ability to create and share interactive reports, dashboards, and data apps, publicly or with specific audiences via embedded links. Users in Hex are responsible for developing their own learning and portfolio-building paths, relying more on external resources.

Specialized workflows & templates, portfolio hosting on DataCamp. DataLab believes in supporting users during their entire data journey, including buildout out their portfolio to obtain jobs in their chosen field. DataLab has created specialized workflows, templates and projects that users can leverage to build out their portfolio, which can then be hosted at Datacamp.com or exported as needed.

Publishing your data

Hex is known for its interactive publishing features, but DataLab’s simplicity and ease of sharing, combined with its flexible publication options, make it an ideal solution for users who want to deliver insights without additional overhead.

DataLab’s publishing tools make it easy to share insights through notebooks and dashboards, keeping the process streamlined. The ability to publish and share work within the DataCamp ecosystem provides a great way to collaborate with stakeholders.

Collaboration

Google Docs-style real-time collaboration.

Real-time collaboration, commenting, and a deep integration into the DataCamp learning ecosystem.

Pricing

Starting at $25/user/month

Starting at $12/user/month, with team options