TabFMGoogle
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Related Products
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About
Processing and storing tabular datasets, e.g. from CSV or Parquet files. Large result set transfer to client. Large client/server installations for centralized enterprise data warehousing. Writing to a single database from multiple concurrent processes. DuckDB is a relational database management system (RDBMS). That means it is a system for managing data stored in relations. A relation is essentially a mathematical term for a table. Each table is a named collection of rows. Each row of a given table has the same set of named columns, and each column is of a specific data type. Tables themselves are stored inside schemas, and a collection of schemas constitutes the entire database that you can access.
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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
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
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Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Database management system for IT teams
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Audience
Data scientists and machine learning teams seeking to perform zero-shot classification and regression on tabular data without task-specific training
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Support
Phone Support
Not Supported
24/7 Live Support
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Online
Supported
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Support
Phone Support
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24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
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API
Offers API
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Screenshots and Videos |
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Pricing
No information available.
Free Version
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Free Trial
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Pricing
Free
Free Version
Supported
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
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Live Online
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In Person
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Training
Documentation
Supported
Webinars
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Live Online
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In Person
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Company InformationDuckDB
duckdb.org
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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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Integrations
AnalyticsCreator
Supported
Databricks
Supported
DbGate
Supported
DbVisualizer
Supported
ElectroNeek
Supported
Enrich.sh
Supported
Flyte
Supported
GetDot.ai
Supported
MotherDuck
Supported
Observable
Supported
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Integrations
AnalyticsCreator
Not Supported
Databricks
Not Supported
DbGate
Not Supported
DbVisualizer
Not Supported
ElectroNeek
Not Supported
Enrich.sh
Not Supported
Flyte
Not Supported
GetDot.ai
Not Supported
MotherDuck
Not Supported
Observable
Not Supported
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