
Metabase
MindsDB
Avian
DataSquirrel.ai
Genie AI
Polymer
LogicLoop
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.

Denodo
IBM Cloud Pak for Data
Teradata QueryGrid
K2View Fabric
Trustgrid Data Mesh Platform
Zetaris Platform
MarkLogic Data Hub Platform
The social network for data people

Which is more popular?
Based on our record, data.world seems to be more popular. It has been mentioned 24 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | querio.ai | data.world |
| Pricing | ||
| Company | — | Startup from the United States · 50 - 99 employees · 2015 |
| Listed in |
In their own words, as submitted to SaaSHub.


Querio is the data platform where your team and your AI agents build and maintain your entire analytics stack together - from ETLs to dashboards - in a git repo you own. Context, dashboards, and automations live as versioned code and files, so a metric definition changes once and updates...
No description of data.world yet.
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


No analysis of Querio yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
doble Kara by Lars Prsko, Of Tablador, Og Querio Review (HeneralRap Review)
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Querio and data.world. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking Querio since Sep 2023.
I'll be sure to check out data.world propose to use it if it makes sense, thanks. Source: over 3 years ago
Just google qgis datasets. There are so so many interesting sets you will find. Check out qgis.org, or data.world for starters. Source: over 3 years ago
But, I'm also aware that there are dedicated platforms to catalog and share data (e.g. https://www.dolthub.com/, https://data.world/), and that uploading data on Github, in general, doesn't seem best practise. Source: over 3 years ago
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We are an open-source project that enables you to do Machine Learning using SQL directly from the Database.
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Move to cloud faster with IBM Cloud Paks running on Red Hat OpenShift – fully integrated, open, containerized and secure solutions certified by IBM.
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