Hex vs DataLab:
a side by side comparison 2024

Hex

Hex is a collaborative SQL and Python-powered notebook with interactive data apps and stories for data professionals prioritizing advanced collaboration and interactive publishing.

Datalab

Datalab is the AI-powered data workspace for all skill levels and those seeking a comprehensive, Jupyter-based platform with advanced Gen AI coding assistance features and seamless report

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Summary

DataLab, an AI-powered data workspace, stands out for its intuitive design, AI-enhanced tools, no-code data analysis, seamless Jupyter integration, and a strong emphasis on collaboration. It offers flexibility for users at all skill levels.

Hex is a platform designed for advanced data teams looking to create interactive data apps. It combines collaborative data science notebooks with visualization and sharing tools to help teams turn analysis into stories.

For data professionals looking for a more complete and scalable solution, DataLab is the better choice. It combines ease of use with powerful coding and visualization tools, integrated learning resources, and competitive pricing, making it ideal for both beginners and experts.

Hex vs. DataLab: A side-by-side comparison

AI integration

Hex

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

DataLab

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

Jupyter Compatibility

Hex

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.

DataLab

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

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

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

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.

DataLab

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

Hex

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.

DataLab

Publishing your data

Hex

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

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

Hex

Google Docs-style real-time collaboration.

DataLab

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

Pricing

Hex

Starting at $25/user/month

DataLab

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

Don't take our word for it

“Incredibly awesome, it really makes data science accessible and is so helpful when coding: we can just focus on analyzing results. Kudos DataLab!”

Len Kwok, Workplace Trainer Assessor

“DataLab is fantastic. Easy to use, powered with AI, quite an essential tool to perform data science daily tasks!”

Thierry Marot, Architect in Geophysics Data Sciences

“Easier to organise and view different files than with Jupyter Notebooks and runs my code more quickly than on my IDE.”

Liz Vassell, Freelance Data Analyst

“It enables me to review my notebooks on the go and receives assistance from AI. Additionally, it comes with all the necessary modules pre-installed.”

Karl Richard, Fetal Medicine Specialist

“DataLab is nice and simple to use. It allows you to get used to the structure of how notebooks work for data analytics. Plus, the AI is helpful to get you started.”

Daniel Conrad, PeopleSoft Technical Developer