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Layers / Data / RAG / Data versioning

Data versioning

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Versioning datasets and the artefacts derived from them, so a training run can be reproduced. Versioning the trained model itself is a model registry.

NOINDEX

This category is below the depth bar — it holds 4 listings where we would want 12 before trusting a shortlist, so it is excluded from search engines and says so here rather than quietly.

4 in this category
SORTED BY STARS

NARROW BY WHAT THIS CATEGORY ASKS

No filter yet. A question becomes a filter once two listings answer it differently — this category has not been read that far.

PRODUCTUSED BYSTARSDOWNLOADS 30D
doltDolt – Git for Data24,424DVCGit for data scientists - manage your code and data together15,8672,155,640LakeFSlakeFS Python SDK Wrapper5,520lamindbOpen-source data management for multimodal AI. Query, trace, and govern with a lineage-native, format-agnostic lakehouse for agents and teams. Supports biological formats and registries - by the creat365

SORTED BY ONE STATED COLUMN · USED BY = LISTED PRODUCTS DEPENDING ON IT, IN THIS DIRECTORY — NOT A POPULARITY FIGURE · NO OVERALL SCORE AND NO RANK COLUMN, BECAUSE BLENDING ADOPTION, STARS AND DOWNLOADS NEEDS WEIGHTS, AND WEIGHTS ARE AN OPINION PRESENTED AS ARITHMETIC

Cite this page

The count and its date sit inside the citation, because “Data versioning” without a date is a claim that quietly goes wrong as the category fills.

infratoapp, “Data versioning — Data / RAG”, read 28 October 2026. 4 listed products. https://www.infratoapp.com/layers/data-rag/data-versioning

No overall score, and no rank column

Blending adoption, stars and downloads needs weights, and weights are an opinion presented as arithmetic — so this table sorts by one stated column at a time and shows which. This view holds no billing column and joins no billing table: a sponsor cannot appear higher, and the signals meter is a row’s own confidence, never a score you can sort on.

Frequently asked

What is in the Data versioning category?
4 products in the Data / RAG layer of the AI stack. Versioning datasets and the artefacts derived from them, so a training run can be reproduced. Versioning the trained model itself is a model registry. Listed members include dolt, DVC and LakeFS. Every fact on each listing carries the page it was read from and the date it was read.
dolt or DVC?
Both are listed under Data versioning. We publish no verdict between them — we hold no benchmark that would support one. What we do hold is the same attribute sheet for each, side by side with the source behind every value, at /compare/dolt-vs-dvc.
What does a blank mean on a data versioning row?
That nobody has told us, not that the answer is no. A hollow ring is "no answer on record", which is a different state from a recorded no — and the two look different on purpose. A listing with a blank has not failed the question; it has not been read for it.
How often are data versioning figures re-read?
Every value carries the date it was read and a link to the page it came from. Prices move fastest and are re-read most often; an attribute read weeks ago says so rather than presenting itself as current. Anything past 21 days is hidden rather than shown stale.
Is this every data versioning there is?
No. This is 4 we have read and can cite. A directory that claimed completeness would be making a promise it cannot keep, so the page states its own count instead and says when a category is too thin to shortlist from.
Can a vendor pay to rank higher here?
No. Nothing on this page can be bought: a sponsor cannot enter a table, reorder a row or change a mark, and there is no ranked position for sale. How the site is paid for, and the line each source of money does not cross, is set out under money and independence at /our-data#sec5.