vioscaleAI
Comparison

DVC vs Ray

On the evidence we track, Ray leads this comparison with a composite score of 71/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

DVC full profile →Ray full profile →
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DVC44
★Ray71
Score
vioscaleAI score
DVC44 / 100low · 44%
Ray71 / 100medium · 65%
Pricing
Free tier
DVC✓
Ray✓
Model
Price level
DVCfree
Rayfree
Transparent
DVC✓
Ray–
Integrations
Count
DVC9
Ray17
Security
Scorecard
DVC4.9
Ray5.7
Trust center
Vulnerabilities
Reliability
Status page
DVC–
Ray✓
Adoption
Dependent repos
DVC12
Ray3,641
Github stars
Package downloads weekly
DVC–
Ray11,291,327
Activity
Commits last 30d
DVC0
Ray100
Release
Cadence days
DVC25
Ray18
History
License
Spdx
Language
Primary
Market
Availability
Content
Faq

Capabilities

Feature-by-feature on the axes that matter for mlops & llmops tools. “-” means undocumented, not absent.

Core
Tool role
DVCAgent / RAG framework
RayAgent / RAG framework
Deployment
Self-hostable / OSS core
DVC✓
Ray✓
Managed cloud available
DVC✓
Ray✓
On-prem / VPC deployment
DVC✓
Ray✓
Observability
LLM tracing / observability
DVC-
Ray✓
Evaluation (offline / LLM-judge / human)
DVC-
Ray-
Dev
Prompt management + versioning
DVC-
Ray-
Tracking
Experiment tracking / model registry
DVC✓
Ray✓
Serving
Model serving / inference endpoint
DVC-
Ray✓
Interop
OpenTelemetry / OpenLLMetry compatible
DVC-
Ray✓
Framework-agnostic
DVC✓
Ray✓
Gateway
Multi-provider model support
DVC✓
Ray✓
Data
No-train-on-customer-data guarantee
DVC-
Ray-

What each one is

The product in its own terms, so the numbers below have context.

DVC

A command-line tool that applies Git-based version control and experiment management to data and ML models, enabling reproducible workflows within Git repositories with support for multiple cloud and on-premise storage backends.

Independently observed

Ray

Leader

Open-source framework for building and scaling distributed ML and Python applications, supporting the full pipeline from data processing and model training to inference and serving with simple APIs.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

DVC

Open sourceFree tier

Free and open source

as of verify ↗

Ray

Leader
Open source
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
macOS
DVC✓
Ray✗
Windows
DVC✓
Ray✗
Linux
DVC✓
Ray✗
CLI
DVC✓
Ray✓
Deployment
Cloud / SaaS
DVC✓
Ray✓
Self-hosted
DVC✗
Ray✓
On-premise
DVC✓
Ray✗

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (1)
  • Azure

DVC

16 total - 15 not shared
  • S3
  • Google Cloud Storage
  • Hydra
  • WebDAV
  • SSH
  • Amazon S3
  • Microsoft Azure
  • Google Drive
  • Alibaba OSS
  • GitHub
  • GitLab
  • VS Code
  • AWS S3
  • Alibaba Cloud Object Storage Service
  • Amazon SageMaker
Independently observed

Ray

Leader
27 total - 26 not shared
  • PyTorch
  • TensorFlow
  • AIBrix
  • AReaL
  • Cosmos Curate
  • Daft
  • Data-Juicer
  • DeltaCAT
  • Modin
  • NeMo Curator
  • NeMo-RL
  • OpenRLHF
  • RayDP
  • ROLL
  • SkyRL
  • SLIME
  • Syftr
  • verl
  • vLLM
  • Kubernetes
  • AWS
  • GCP
  • Databricks
  • DeltaLake
  • +2 more
Independently observed
Still deciding?

DVC or Ray: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.