Best data version control tools, according to AI

Data as of Aug 25, 2026 · Based on 333 AI responses · See how Parse measures this

Data Version Control Tools

107 brands

ParseChatGPT + Google AI

Parse

https://parse.gl

Measured across ChatGPT & Google AI

Best Data Version Control Tools, According to ChatGPT & Google AI | Parse

#	Brand	What AI says	Mention rate
1	DVCThe classic choice for integrating data versioning with existing Git workflows.	The classic choice for integrating data versioning with existing Git workflows.	70%
2	lakeFSRecommended for Git-like branching and versioning directly on S3 data lakes.	Recommended for Git-like branching and versioning directly on S3 data lakes.	56%
3	Amazon		45%
4	Alphabet		45%
5	Microsoft		42%
6	Git		34%
7	Weights & BiasesFramed as an ML experiment tracker with strong artifact versioning capabilities.	Framed as an ML experiment tracker with strong artifact versioning capabilities.	30%
8	MLflow		29%
9	Neptune.ai		27%
10	PachydermCited for enterprise-grade versioning, data pipelines, and full data lineage tracking.	Cited for enterprise-grade versioning, data pipelines, and full data lineage tracking.	26%
11	Apache Software Foundation		20%
12	Git LFSA lightweight Git extension for simpler, moderate-sized large file handling.	A lightweight Git extension for simpler, moderate-sized large file handling.	18%
13	Google Gemini API		14%
14	PyTorch		14%
15	Kubeflow		11%
16	DAGsHub		9%
17	Delta Lake		8%
18	Encord		7%
19	Oxen AIAn open-source tool optimized for performance on machine learning datasets.	An open-source tool optimized for performance on machine learning datasets.	7%
20	GitHub		6%
21	Project Nessie		6%
22	DVCThe classic choice for integrating data versioning with existing Git workflows.	The classic choice for integrating data versioning with existing Git workflows.	5%
23	Scikit-learn		5%
24	Averroes AI		5%
25	Comet		4%
26	Prefect		3%
27	Coralogix		3%
28	Monte Carlo Data		3%
29	MinIO		3%
30	Medium		2%
31	Twine		2%
32	Python		2%
33	DataCamp		2%
34	Dagster		2%
35	GitLab		2%
36	Kubernetes		2%
37	Databricks		2%
38	Secoda		2%
39	Label Your Data		2%
40	DoltHub		2%
41	ClearML		2%
42	Ray		2%
43	Deepchecks		1%
44	Jenkins		1%
45	Docker		<1%
46	Quilt		<1%
47	Project Jupyter		<1%
48	Atlassian		<1%
49	MarkovML		<1%
50	DEV Community		<1%
51	CML		<1%
52	Pydata		<1%
53	Acceldata		<1%
54	Conda		<1%
55	Appsilon		<1%
56	Snowflake		<1%
57	IBM		<1%
58	Feast		<1%
59	dbt		<1%
60	BentoML		<1%
61	Hugging Face		<1%
62	Sahaj		<1%
63	AIMultiple		<1%
64	Atlan		<1%
65	Fxis		<1%
66	InfuseAI		<1%
67	Wallaroo AI		<1%
68	phData		<1%
69	Alation		<1%
70	Anaconda		<1%
71	DeepLake		<1%
72	IOA Global		<1%
73	Marjory		<1%
74	Starburst		<1%
75	Milvus		<1%
76	Optuna		<1%
77	Daily Dose of Data Science		<1%
78	PySpark		<1%
79	Yourdatasmarter		<1%
80	ZnTrack		<1%
81	learnaiops.com		<1%
82	Keras		<1%
83	Neptune		<1%
84	Quora		<1%
85	Reddit		<1%
86	OpenStax		<1%
87	Activeloop		<1%
88	Akvelon		<1%
89	Cloudian		<1%
90	Crowdbotics		<1%
91	Ray		<1%
92	Sqream		<1%
93	DataLad		<1%
94	Ranger		<1%
95	Rivery		<1%
96	y42		<1%
97	Atmosera		<1%
98	OptiSol Business Solutions		<1%
99	Software.com		<1%
100	XetHub		<1%