Data & model version control
Data & model version control covers Git-like versioning, branching and lineage for large datasets and model files.
In brief
Data & model version control, in brief.
What it isData & model version control covers Git-like versioning, branching and lineage for large datasets and model files.
Where it sitsOne of 12 categories in the Data layer. Data is what models learn from and read: datasets, labelling services, document parsing, synthetic data, and the pipelines and databases that carry data into AI applications.
What we track20 products, including Apache Iceberg (branching/tagging, time travel), Bauplan, ClearML Data, Comet (Artifacts, Model Registry) and DagsHub.
The products
20 products in Data & model version control.
Each name opens a search for that product in our index.
ProductMakerIts own site
From our census of 2026-11-08. A product listed here is one that belongs in this category; the search answer says whether we have checked it.
Questions
Data & model version control, answered.
What is Data & model version control in AI infrastructure?Data & model version control covers Git-like versioning, branching and lineage for large datasets and model files.
Which layer of AI infrastructure is Data & model version control in?Data & model version control is in the Data layer. Data is what models learn from and read: datasets, labelling services, document parsing, synthetic data, and the pipelines and databases that carry data into AI applications.
Which products are in Data & model version control?We track 20 products in Data & model version control, including Apache Iceberg (branching/tagging, time travel), Bauplan, ClearML Data, Comet (Artifacts, Model Registry), DagsHub, Deep Lake (dataset version control), Delta Lake (time travel) and Dolt / DoltHub. The full list is on this page.
Data
The other categories in Data.
AI training data licensing marketplacesData catalogs and governance for AIData pipelines for AIData quality and curationDatasetsDocument parsing / OCRLabeling / annotationMultimodal data lakes & AI-native data formatsOperational databases for AI apps & agentsPII redaction and data privacy for AISynthetic data