InstaDBAtinea
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TabFMGoogle
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Related Products
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About
It has been extensively tested on real-life business projects. It is stable and robust, easily extendable and efficient. It can be used in a vast range of applications. Every column added to a table is automatically accessible in the table filters. Moreover, in the case of references, you may filter using any parameter of referee tables. You may use any column (including columns of referee tables) for sorting your records. You may compose several filters to get a hierarchical order. Export to xls or csv is simple. You just copy-paste or download a csv file. Importing from spreadsheets is supported. InstaDB checks whether the formats are correct and referenced records exist in the database. Before any update, a preview of changes is displayed in order to avoid unwanted changes. It is easy to show, hide and change the order of columns. The Reset View button always restores the default column composition.
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About
TabFM is a zero-shot foundation model for tabular data, designed to simplify classification and regression workflows that traditionally require manual model training, hyperparameter tuning, and domain-specific feature engineering. Built specifically for tables, TabFM reframes tabular prediction as an in-context learning problem: instead of fitting a new supervised model to each dataset, it takes historical training examples and target testing rows together as one unified prompt, then interprets relationships between columns and rows at inference time. Because tables are two-dimensional and orderless, TabFM uses a hybrid architecture that combines alternating row and column attention, row compression, and a dedicated Transformer for in-context learning over compressed row embeddings. This design lets the model capture complex feature interactions and dependencies while keeping prediction computationally efficient for larger datasets.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Application development platform for DevOp teams
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Audience
Data scientists and analytics teams that need accurate tabular classification and regression without repetitive training, tuning, and feature-engineering work
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$20 per month
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationAtinea
Founded: 2008
Poland
instadb.com
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Company InformationGoogle
Founded: 1998
United States
research.google/blog/introducing-tabfm-a-zero-shot-foundation-model-for-tabular-data/
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Alternatives |
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Categories |
Categories |
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Application Development Features
Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development
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Integrations
Microsoft Excel
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