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DataSquirrel.ai
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Metabase
Basedash
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Microsoft Power BI
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Hex is a modern data platform for data science and analytics. Collaborative notebooks, beautiful data apps and enterprise-grade security.

Which is more popular?
Based on our record, Hex seems to be more popular. It has been mentioned 9 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | parse.dev | hex.tech |
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What each product offers, as listed by its team.


No features have been listed yet.
Possible disadvantages
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Parse.dev and Hex. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


We have no reviews of Parse.dev yet. Be the first one to post
Hex is a cloud-based platform for data science that offers many of the same features as Jupyter Notebooks, as well as a number of additional capabilities. It supports a wide variety of programming languages, including...
Recommendations tracked on public social media and blogs since March 2021.


Tracking Parse.dev since Jun 2023.
This looks very similar to https://hex.tech/. - Source: Hacker News / over 1 year ago
Would you say this is an alternative to https://hex.tech/, or does this fill a different niche? - Source: Hacker News / about 2 years ago
Hex | Visualization Engineer | Remote - US | https://hex.tech/ Hex is changing the way people work with data. Our platform makes analytics workflows more powerful, collaborative, and shareable. Hex solves key pain points with today's... - Source: Hacker News / over 2 years ago
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Analytics as code - your team and AI agents build and maintain your entire analytics stack together, from ETLs to dashboards, in a git repo you own.
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Connect your database. Get an admin panel. Basedash is an AI-generated interface to visualize, edit, and explore your data.
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Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
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