# LlamaIndex vs Ray

**Leader by vioscaleAI score:** Ray

| Attribute | LlamaIndex | Ray |
|---|---|---|
| **vioscaleAI score** | 65.1 (69% (medium)) | 70.8 (65% (medium)) |
| activity.commits_last_30d | 28 | 100 |
| adoption.dependent_repos | 0 | 3,641 |
| adoption.github_stars | 52,481 | 44,036 |
| adoption.package_downloads_weekly | 1,685,400 | 11,291,327 |
| content.faq | `[{"answer":"LlamaParse is a cloud-based document parsing platform that uses vision language models and intelligent agents to automatically process complex documents—including PDFs, images, and office files—with support for layout detection, multi-modal content, and 80+ languages. It transforms document ingestion workflows with agentic extraction and indexing capabilities. It is indexed under MLOps & LLMOps Tools.","source":"https://www.llamaindex.ai/pricing","question":"What is LlamaIndex?","confidence":0.6},{"answer":"LlamaIndex is open source, so it can be self-hosted and used at no licence cost. It is released under the MIT licence. A commercial or hosted edition starts at $50 per month. Prices are published openly on the vendor's own pricing page. Pricing changes often, so verify at source before relying on it.","source":"https://www.llamaindex.ai/pricing","question":"Is LlamaIndex free to use?","confidence":0.6},{"answer":"We have confirmed browser-based access to LlamaIndex. That is the extent of what we could verify from public sources, so it may well offer desktop or mobile clients we have not indexed.","source":"https://www.llamaindex.ai/pricing","question":"What platforms does LlamaIndex support?","confidence":0.6},{"answer":"Not fully, on what we have confirmed. LlamaIndex is offered as cloud / SaaS and hybrid, and a hybrid deployment usually means some components can run on your own infrastructure while the rest stays vendor-hosted. We have not confirmed a completely self-hosted option, so check with the vendor if that is a requirement.","source":"https://www.llamaindex.ai/pricing","question":"Can LlamaIndex be self-hosted?","confidence":0.6},{"answer":"We have confirmed 3 integrations for LlamaIndex, including AWS, Microsoft Azure and GitHub. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://www.llamaindex.ai/pricing","question":"What does LlamaIndex integrate with?","confidence":0.6},{"answer":"We have independently confirmed SOC 2, HIPAA and GDPR for LlamaIndex. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as LlamaIndex not holding them. Always confirm compliance directly before you rely on it.","source":"https://www.llamaindex.ai","question":"What security certifications does LlamaIndex have?","confidence":0.48},{"answer":"Yes. LlamaIndex is published under the MIT licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.","source":"https://github.com/run-llama/llama_index","question":"Is LlamaIndex open source?","confidence":0.95},{"answer":"LlamaIndex is available worldwide. Its primary markets are the United States and the EU. The vendor is headquartered in the United States.","source":"https://www.llamaindex.ai/pricing","question":"Where is LlamaIndex available?","confidence":0.75}]` | `[{"answer":"Ray is an open-source unified framework for scaling Python and machine learning applications across any infrastructure. It provides distributed compute primitives, specialized AI libraries for data processing, model training, tuning, and serving, with seamless scaling from development environments to large clusters. It is indexed under MLOps & LLMOps Tools.","source":"https://www.ray.io","question":"What is Ray?","confidence":0.6},{"answer":"Ray offers a free tier, so you can start without paying. Pricing changes often, so verify at source before relying on it.","source":"https://www.ray.io","question":"Is Ray free?","confidence":0.6},{"answer":"Ray supports a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://www.ray.io","question":"What platforms does Ray support?","confidence":0.6},{"answer":"Yes. Ray can be deployed cloud / SaaS, hybrid, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://www.ray.io","question":"Can Ray be self-hosted?","confidence":0.6},{"answer":"We have confirmed 19 integrations for Ray, including PyTorch, TensorFlow, AIBrix, AReaL, Cosmos Curate, Daft, Data-Juicer and DeltaCAT, plus 11 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://www.ray.io","question":"What does Ray integrate with?","confidence":0.6},{"answer":"Yes. Ray is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.","source":"https://github.com/ray-project/ray","question":"Is Ray open source?","confidence":0.67}]` |
| deployment.options | `{"cloud":true,"hybrid":true}` | `{"cloud":true,"self_hosted":true}` |
| description.long | A platform that uses AI models to parse and extract data from documents across 130+ file formats, supporting complex layouts, multiple languages, and multi-step extraction agents. Optimized for accuracy, cost, and latency at enterprise scale. | 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. |
| features.capabilities | `{"role":"framework","evaluation":false,"soc2_type_ii":true,"managed_cloud":true,"model_serving":true,"pricing_model":"commercial_enterprise_platform","self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":true,"no_train_on_data":"unknown","llm_observability":false,"prompt_management":false,"framework_agnostic":true,"experiment_tracking":false,"mit_or_apache_permissive_oss_license":false,"native_observability_and_trace_logging":true,"fault_tolerance_and_llm_retry_mechanisms":true,"native_memory_and_state_persistence_layer":false,"tool_calling_and_function_schema_validation":true,"managed_cloud_runtime_infrastructure_offered":true,"synchronous_and_asynchronous_execution_modes":true,"streaming_output_and_intermediate_step_yielding":true,"dynamic_agent_generation_and_spawning_at_runtime":true}` | `{"role":"framework","managed_cloud":true,"model_serving":true,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":true,"llm_observability":true,"framework_agnostic":true,"experiment_tracking":true}` |
| integrations.count | 3 | 17 |
| integrations.list | `[{"name":"AWS"},{"name":"Microsoft Azure"},{"name":"GitHub"}]` | `[{"name":"PyTorch"},{"name":"TensorFlow"},{"name":"AIBrix"},{"name":"AReaL"},{"name":"Cosmos Curate"},{"name":"Daft"},{"name":"Data-Juicer"},{"name":"DeltaCAT"},{"name":"Modin"},{"name":"NeMo Curator"},{"name":"NeMo-RL"},{"name":"OpenRLHF"},{"name":"RayDP"},{"name":"ROLL"},{"name":"SkyRL"},{"name":"SLIME"},{"name":"Syftr"},{"name":"verl"},{"name":"vLLM"},{"name":"Kubernetes","native":true,"category":"infrastructure"},{"name":"AWS","native":true,"category":"cloud"},{"name":"GCP","native":true,"category":"cloud"},{"name":"Azure","native":true,"category":"cloud"},{"name":"Databricks","native":true,"category":"data_platform"},{"name":"DeltaLake","native":true,"category":"data_storage"},{"name":"Spark","native":true,"category":"data_processing","direction":"bidirectional"},{"name":"Pandas","native":true,"category":"data_processing","direction":"bidirectional"}]` |
| language.primary | Python | Python |
| license.spdx | MIT | Apache-2.0 |
| market.availability | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | - |
| platform.support | `{"cli":true,"web":true}` | `{"cli":true}` |
| pricing | `{"type":"hybrid","plans":[{"free":true,"name":"Free","features":["Basic support","100 users","130+ file formats","80+ languages supported"],"minSeats":100,"components":[{"kind":"fixed","amount":0,"period":"month","currency":"USD"}],"description":"10,000 credits per month","contactSales":false,"includedLimits":{"concurrent_parse_jobs":"20","external_data_sources":"1"}},{"free":false,"name":"Starter","features":["Basic support","Multiple parse tiers","Auto Mode with up to 80% savings","Saved parse configs","Advanced table/chart extraction","Structured JSON output"],"components":[{"kind":"fixed","amount":50,"period":"month","currency":"USD"}],"description":"Up to 400K credits per month","contactSales":false,"includedLimits":{"concurrent_parse_jobs":"100"}},{"free":false,"name":"Pro","features":["Priority Slack support","All parsing and extraction capabilities","Extraction agents","Webhooks & API callbacks","Smart result caching"],"components":[{"kind":"fixed","amount":500,"period":"month","currency":"USD"},{"kind":"one_time","amount":1000,"currency":"USD"}],"description":"400K credits per month plus 800K one-time bonus","contactSales":false},{"free":false,"name":"Pay-as-you-go","features":["Priority Slack support","Flexible credit usage up to $5,000/month"],"components":[{"per":{"qty":1,"unit":"credit"},"kind":"metered","amount":0.00125,"currency":"USD"}],"description":"Variable usage-based pricing","contactSales":false},{"free":false,"name":"Enterprise","features":["Volume discounts on credits","5x higher rate limits","Enterprise SSO","SaaS or Hybrid cloud deployment","Dedicated account manager","Custom SLAs"],"description":"Custom pricing with dedicated support","contactSales":true}],"summary":"Free (10K credits/month), Starter $50/month (400K credits), Pro $500/month (400K + 800K bonus), Pay-as-you-go up to $5,000/month, Enterprise custom","currency":"USD","freeTier":true,"sourceUrl":"https://www.llamaindex.ai/pricing","retrievedAt":"2026-10-13T22:31:28.854Z","startingPrice":{"amount":50,"period":"month","currency":"USD"},"billingPeriods":["month"]}` | `{"type":"open_source","sourceUrl":"https://www.ray.io","retrievedAt":"2026-09-14T15:30:52.746Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | freemium | commercial |
| pricing.price_level | mid | free |
| pricing.starting_price | `{"amount":50,"currency":"USD"}` | - |
| pricing.transparent | yes | - |
| release.cadence_days | 17 | 18 |
| release.history | 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| `[{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.59.0","date":"2026-10-02T07:04:37Z","type":"stable","version":"ray-2.59.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.58.0","date":"2026-08-23T05:42:08Z","type":"stable","version":"ray-2.58.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.57.0","date":"2026-08-11T01:15:44Z","type":"stable","version":"ray-2.57.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.56.1","date":"2026-07-17T23:19:47Z","type":"stable","version":"ray-2.56.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.56.0","date":"2026-06-29T20:32:55Z","type":"stable","version":"ray-2.56.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.55.1","date":"2026-04-22T20:24:41Z","type":"stable","version":"ray-2.55.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.55.0","date":"2026-04-15T20:34:27Z","type":"stable","version":"ray-2.55.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.54.1","date":"2026-03-25T23:37:39Z","type":"stable","version":"ray-2.54.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.54.0","date":"2026-02-18T23:44:44Z","type":"stable","version":"ray-2.54.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.53.0","date":"2025-12-20T15:16:24Z","type":"stable","version":"ray-2.53.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.51.2","date":"2025-11-29T00:40:40Z","type":"stable","version":"ray-2.51.2"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.52.1","date":"2025-11-28T02:23:22Z","type":"stable","version":"ray-2.52.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.52.0","date":"2025-11-21T19:10:39Z","type":"stable","version":"ray-2.52.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.51.1","date":"2025-11-01T03:27:11Z","type":"stable","version":"ray-2.51.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.51.0","date":"2025-10-29T05:33:49Z","type":"stable","version":"ray-2.51.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.50.1","date":"2025-10-18T19:21:43Z","type":"stable","version":"ray-2.50.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.50.0","date":"2025-10-10T23:06:29Z","type":"stable","version":"ray-2.50.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.49.2","date":"2025-09-19T18:10:36Z","type":"stable","version":"ray-2.49.2"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.49.1","date":"2025-09-03T00:44:11Z","type":"stable","version":"ray-2.49.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.49.0","date":"2025-08-26T19:52:24Z","type":"stable","version":"ray-2.49.0"}]` |
| reliability.sla_pct | 99.9 | - |
| reliability.status_page | yes | yes |
| security.certifications | `[{"name":"SOC 2 Type II","level":"Type II","status":"active"}]` | - |
| security.disclosure_policy | yes | - |
| security.gdpr | yes | - |
| security.hipaa | yes | - |
| security.scorecard | - | 5.7 |
| security.soc2 | yes | - |
| security.trust_center | https://www.llamaindex.ai/legal/privacy-notice | - |
| security.vulnerabilities | `{"count":10,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=llama-index-core&per_page=100","last_12m":1,"max_severity":"CRITICAL"}` | `{"count":12,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=ray&per_page=100","last_12m":6,"max_severity":"CRITICAL"}` |

## Capabilities (MLOps & LLMOps Tools)

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

*Source: vioscaleAI. Generated 2026-10-16T20:58:57.765Z. "-" = undocumented, not absent.*