# Faiss vs NucliaDB

| Attribute | Faiss | NucliaDB |
|---|---|---|
| **vioscaleAI score** | 57 (35% (low)) | 55.8 (51% (medium)) |
| activity.commits_last_30d | 66 | - |
| adoption.dependent_repos | 5,592 | - |
| adoption.github_stars | 41,146 | - |
| content.faq | `[{"answer":"Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It is indexed under Vector Databases.","source":"https://faiss.ai","question":"What is Faiss?","confidence":0.6},{"answer":"Faiss is open source, so it can be self-hosted and used at no licence cost. It is released under the MIT licence. Pricing changes often, so verify at source before relying on it.","source":"https://faiss.ai","question":"Is Faiss free to use?","confidence":0.6},{"answer":"Faiss supports Windows, macOS and Linux. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://faiss.ai","question":"What platforms does Faiss support?","confidence":0.6},{"answer":"Yes. Faiss can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://faiss.ai","question":"Can Faiss be self-hosted?","confidence":0.6},{"answer":"Yes. Faiss 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/facebookresearch/faiss","question":"Is Faiss open source?","confidence":0.95}]` | `[{"answer":"Progress Agentic RAG is a RAG-as-a-Service platform providing a centralized agentic knowledge layer for building AI experiences with enterprise-scale governance, compliance, and multi-agent capabilities. It is indexed under Vector Databases.","source":"https://nuclia.com","question":"What is NucliaDB?","confidence":0.6},{"answer":"NucliaDB offers a free tier, so you can start without paying. Paid plans start at $700 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://nuclia.com","question":"Is NucliaDB free?","confidence":0.6},{"answer":"We have confirmed browser-based access to NucliaDB. 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://nuclia.com","question":"What platforms does NucliaDB support?","confidence":0.6},{"answer":"Not fully, on what we have confirmed. NucliaDB 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://nuclia.com","question":"Can NucliaDB be self-hosted?","confidence":0.6},{"answer":"We have independently confirmed SOC 2, ISO 27001 and GDPR for NucliaDB. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as NucliaDB not holding them. Always confirm compliance directly before you rely on it.","source":"https://nuclia.com","question":"What security certifications does NucliaDB have?","confidence":0.48}]` |
| deployment.options | `{"self_hosted":true}` | `{"cloud":true,"hybrid":true}` |
| description.long | Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. | Progress Agentic RAG is a RAG-as-a-Service platform providing a centralized agentic knowledge layer for building AI experiences with enterprise-scale governance, compliance, and multi-agent capabilities. |
| features.capabilities | `{"ann_index":"HNSW, IVF, PQ, multi-index, NSG","deployment":"self_hosted","serverless":false,"quantization":"product","storage_tier":"disk_backed","licence_class":"permissive_oss","product_class":"extension","distance_metrics":"Euclidean (L2), inner product, L1, Linf","horizontal_scale":"single_node"}` | `{"deployment":"managed","serverless":false,"storage_tier":"disk_backed","hybrid_search":true,"licence_class":"proprietary","multi_tenancy":true,"product_class":"dedicated_dbms","horizontal_scale":"sharded_distributed"}` |
| integrations.count | - | 1 |
| integrations.list | - | `[{"name":"AWS Marketplace"}]` |
| language.primary | C++ | - |
| license.spdx | MIT | - |
| platform.support | `{"mac":true,"linux":true,"windows":true}` | `{"web":true}` |
| pricing | `{"type":"open_source","sourceUrl":"https://faiss.ai","retrievedAt":"2026-08-13T20:46:34.341Z"}` | `{"type":"subscription","plans":[{"free":false,"name":"Starter","summary":"$700/month","features":["RAG","Q&A","Community support"],"commitment":"monthly","components":[{"kind":"fixed","amount":700,"period":"month","currency":"USD"}],"description":"Ideal for teams exploring AI-powered search and retrieval","contactSales":false,"includedLimits":{"tokens":"10,000/month","file_size":"750MB per file (text-based)","indexed_data":"5GB or 15k resources"}},{"free":false,"name":"Pro","summary":"$1,925/month","features":["RAG","Q&A","AI classification","Generative search","AI Assistant","Doc summarization","Community support + ZenDesk"],"commitment":"monthly","components":[{"kind":"fixed","amount":1925,"period":"month","currency":"USD"}],"description":"Built for growing organizations that need more data capacity, integrations and AI capabilities","contactSales":false,"includedLimits":{"tokens":"10,000/month","file_size":"1.5GB per file (all file types)","indexed_data":"25GB or 80k resources"}},{"free":false,"name":"Enterprise","summary":"Custom quote","features":["RAG","Q&A","AI classification","Generative search","AI Assistant","Doc summarization","Prompt LAB","RAB LAB","Private Slack Channel + ZenDesk"],"description":"Designed for large-scale deployments with unlimited scalability, on-prem options and advanced support","contactSales":true,"includedLimits":{"file_size":"Unlimited","indexed_data":"Unlimited"}}],"summary":"From $700/month. 14-day free trial available.","currency":"USD","freeTier":true,"sourceUrl":"https://nuclia.com","retrievedAt":"2026-08-03T13:22:32.996Z","freeTrialDays":14,"startingPrice":{"amount":700,"period":"month","currency":"USD"},"billingPeriods":["month"]}` |
| pricing.free_tier | - | yes |
| pricing.model | commercial | commercial |
| pricing.price_level | free | high |
| pricing.transparent | - | yes |
| release.cadence_days | 83 | - |
| release.history | `[{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.15.1","date":"2026-09-16T19:24:02Z","type":"stable","version":"v1.15.1"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.15.0","date":"2026-08-03T17:10:58Z","type":"stable","version":"v1.15.0"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.14.3","date":"2026-06-13T04:03:53Z","type":"stable","version":"v1.14.3"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.14.2","date":"2026-05-22T20:05:00Z","type":"stable","version":"v1.14.2"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.14.1","date":"2026-03-06T17:49:04Z","type":"stable","version":"v1.14.1"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.14.0","date":"2026-03-03T03:19:33Z","type":"stable","version":"v1.14.0"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.13.2","date":"2025-12-19T23:41:59Z","type":"stable","version":"v1.13.2"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.13.1","date":"2025-12-03T00:02:15Z","type":"stable","version":"v1.13.1"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.13.0","date":"2025-11-12T17:18:44Z","type":"stable","version":"v1.13.0"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.12.0","date":"2025-08-12T16:46:55Z","type":"stable","version":"v1.12.0"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.11.0","date":"2025-04-25T14:13:55Z","type":"stable","version":"v1.11.0"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.10.0","date":"2025-01-31T23:29:10Z","type":"stable","version":"v1.10.0"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.9.0","date":"2024-10-04T21:33:29Z","type":"stable","version":"v1.9.0"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.8.0","date":"2024-03-01T01:04:25Z","type":"stable","version":"v1.8.0"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.7.4","date":"2023-04-20T13:45:29Z","type":"stable","version":"v1.7.4"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.7.3","date":"2022-11-30T15:24:12Z","type":"stable","version":"v1.7.3"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.7.2","date":"2022-01-10T12:19:49Z","type":"stable","version":"v1.7.2"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.7.1","date":"2021-05-28T09:08:34Z","type":"stable","version":"v1.7.1"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.7.0","date":"2021-02-13T14:11:25Z","type":"stable","version":"v1.7.0"},{"url":"https://github.com/facebookresearch/faiss/releases/tag/v1.6.5","date":"2020-12-21T05:24:03Z","type":"stable","version":"v1.6.5"}]` | - |
| reliability.status_page | yes | - |
| security.gdpr | - | yes |
| security.iso27001 | - | yes |
| security.scorecard | 6.2 | - |
| security.soc2 | - | yes |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=faiss-cpu&per_page=100","last_12m":0,"max_severity":null}` | - |

## Capabilities (Vector Databases)

| Capability | Faiss | NucliaDB |
|---|:--:|:--:|
| **Deployment** |  |  |
| Deployment | Self-hosted | Managed |
| Serverless / consumption pricing | ✗ | ✗ |
| **Index** |  |  |
| ANN index (HNSW / IVF / DiskANN / ScaNN / flat) | HNSW, IVF, PQ, multi-index, NSG | - |
| Distance metrics (cosine / dot / Euclidean) | Euclidean (L2), inner product, L1, Linf | - |
| **Query** |  |  |
| Metadata filtering | - | - |
| Hybrid search (dense + sparse fusion) | - | ✓ |
| Built-in BM25 / lexical | - | - |
| **Storage** |  |  |
| Quantization | Product | - |
| On-disk vs in-memory | Disk-backed | Disk-backed |
| **Scale** |  |  |
| Multi-tenancy (namespaces / collections / tenants) | - | ✓ |
| Horizontal scale | Single-node | Sharded / distributed |
| **Consistency** |  |  |
| Consistency | - | - |
| **Licensing** |  |  |
| Licence class | Permissive OSS | Proprietary |
| **Classification** |  |  |
| Purpose-built vs feature-of-parent | Extension | Dedicated DBMS |

*Source: vioscaleAI. Generated 2026-10-16T17:47:15.711Z. "-" = undocumented, not absent.*