# KDB.AI vs Milvus

**Leader by vioscaleAI score:** Milvus

| Attribute | KDB.AI | Milvus |
|---|---|---|
| **vioscaleAI score** | 47.1 (24% (low)) | 57.2 (57% (medium)) |
| activity.commits_last_30d | - | 100 |
| adoption.dependent_repos | - | 7 |
| adoption.github_stars | - | 46,375 |
| content.faq | `[{"answer":"A vector database for contextual and time series search that enables building AI apps, finding patterns in data, and mixing structured with unstructured data. It is indexed under Vector Databases.","source":"https://kdb.ai","question":"What is KDB.AI?","confidence":0.6},{"answer":"KDB.AI offers a free tier, so you can start without paying. Pricing changes often, so verify at source before relying on it.","source":"https://kdb.ai","question":"Is KDB.AI free?","confidence":0.6},{"answer":"Yes. KDB.AI can be deployed cloud / SaaS, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://kdb.ai","question":"Can KDB.AI be self-hosted?","confidence":0.6},{"answer":"We have confirmed 7 integrations for KDB.AI, including Hugging Face, NVIDIA cuVS, LlamaIndex, Langchain, Voyage AI, TwelveLabs and Google Colab. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://kdb.ai","question":"What does KDB.AI integrate with?","confidence":0.6}]` | `[{"answer":"A distributed database system for storing and searching high-dimensional vectors at scale. Supports multiple deployment models from local notebooks to cloud-managed services, with capabilities for hybrid search combining dense and sparse embeddings. It is indexed under Vector Databases.","source":"https://milvus.io","question":"What is Milvus?","confidence":0.6},{"answer":"Milvus offers a free tier, so you can start without paying. Pricing changes often, so verify at source before relying on it.","source":"https://milvus.io","question":"Is Milvus free?","confidence":0.6},{"answer":"Milvus supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://milvus.io","question":"What platforms does Milvus support?","confidence":0.6},{"answer":"Yes. Milvus can be deployed cloud / SaaS, hybrid and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://milvus.io","question":"Can Milvus be self-hosted?","confidence":0.6},{"answer":"We have confirmed 7 integrations for Milvus, including OpenAI, Sentence Transformers, BGE-M3, SPLADE, Jina AI, BM25 and PyMilvus. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://milvus.io","question":"What does Milvus integrate with?","confidence":0.6},{"answer":"Yes. Milvus 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/milvus-io/milvus","question":"Is Milvus open source?","confidence":0.95}]` |
| deployment.options | `{"cloud":true,"on_prem":true}` | `{"cloud":true,"self_hosted":true}` |
| description.long | KDB.AI is a specialized vector database enabling developers to build AI-powered applications by integrating vector embeddings with structured time-series data. It supports hybrid search, multimodal retrieval, and real-time analytics for generative AI and RAG applications. | A high-performance, distributed vector database that enables fast similarity search across billions of high-dimensional vectors, supporting real-time updates, flexible metadata filtering, and hybrid search capabilities for AI and machine learning applications. |
| features.capabilities | `{"ann_index":"Flat, qFlat, IVF, IVFPQ, HNSW, qHnsw","deployment":"managed","quantization":"product","storage_tier":"disk_backed","hybrid_search":true,"multi_tenancy":true,"product_class":"dedicated_dbms","full_text_bm25":true,"distance_metrics":"Euclidean, Inner-Product, Cosine","horizontal_scale":"sharded_distributed","metadata_filtering":"pre_filter"}` | `{"ann_index":"HNSW, IVF, FLAT, SCANN, DiskANN, GPU_CAGRA","deployment":"self_hosted","serverless":true,"consistency":"eventual","quantization":"product","storage_tier":"disk_backed","hybrid_search":true,"licence_class":"permissive_oss","multi_tenancy":true,"product_class":"dedicated_dbms","full_text_bm25":true,"distance_metrics":"cosine, Euclidean, dot product","horizontal_scale":"sharded_distributed","metadata_filtering":"pre_filter"}` |
| integrations.count | 5 | 2 |
| integrations.list | `[{"name":"Hugging Face"},{"name":"NVIDIA cuVS"},{"name":"LlamaIndex"},{"name":"Langchain"},{"name":"Voyage AI"},{"name":"TwelveLabs"},{"name":"Google Colab"},{"name":"HuggingFace"}]` | `[{"name":"OpenAI"},{"name":"Sentence Transformers"},{"name":"BGE-M3"},{"name":"SPLADE"},{"name":"Jina AI"},{"name":"BM25"},{"name":"PyMilvus"},{"name":"Jina","category":"reranking"}]` |
| language.primary | - | Go |
| license.spdx | - | Apache-2.0 |
| platform.support | - | `{"cli":true,"web":true,"linux":true}` |
| pricing | `{"type":"hybrid","plans":[{"free":true,"name":"Free","contactSales":false}],"summary":"Free tier available; enterprise pricing via contact sales","freeTier":true,"sourceUrl":"https://kdb.ai","retrievedAt":"2026-08-03T13:11:39.515Z"}` | `{"type":"open_source","freeTier":true,"sourceUrl":"https://milvus.io","retrievedAt":"2026-10-13T15:15:28.965Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | commercial | open_source |
| pricing.price_level | low | free |
| pricing.transparent | no | no |
| release.cadence_days | - | 7 |
| release.history | - | `[{"url":"https://github.com/milvus-io/milvus/releases/tag/v2.6.25","date":"2026-09-29T06:56:47Z","type":"stable","version":"v2.6.25"},{"url":"https://github.com/milvus-io/milvus/releases/tag/v3.0.2","date":"2026-09-20T09:36:27Z","type":"stable","version":"v3.0.2"},{"url":"https://github.com/milvus-io/milvus/releases/tag/v2.6.24","date":"2026-09-16T10:51:14Z","type":"stable","version":"v2.6.24"},{"url":"https://github.com/milvus-io/milvus/releases/tag/client/v3.0.0","date":"2026-09-18T04:31:53Z","type":"stable","version":"client/v3.0.0"},{"url":"https://github.com/milvus-io/milvus/releases/tag/v3.0.1","date":"2026-09-09T07:32:57Z","type":"stable","version":"v3.0.1"},{"url":"https://github.com/milvus-io/milvus/releases/tag/v2.6.23","date":"2026-08-28T07:59:27Z","type":"stable","version":"v2.6.23"},{"url":"https://github.com/milvus-io/milvus/releases/tag/v2.6.22","date":"2026-08-04T01:55:59Z","type":"stable","version":"v2.6.22"},{"url":"https://github.com/milvus-io/milvus/releases/tag/v3.0.0","date":"2026-07-29T14:27:06Z","type":"stable","version":"v3.0.0"},{"url":"https://github.com/milvus-io/milvus/releases/tag/v2.6.21","date":"2026-07-24T06:50:28Z","type":"stable","version":"v2.6.21"},{"url":"https://github.com/milvus-io/milvus/releases/tag/client/v3.0.0-beta","date":"2026-07-19T14:35:01Z","type":"prerelease","version":"client/v3.0.0-beta"},{"url":"https://github.com/milvus-io/milvus/releases/tag/v2.6.20","date":"2026-07-14T06:44:48Z","type":"stable","version":"v2.6.20"},{"url":"https://github.com/milvus-io/milvus/releases/tag/v2.6.19","date":"2026-06-26T11:47:18Z","type":"stable","version":"v2.6.19"},{"url":"https://github.com/milvus-io/milvus/releases/tag/v2.6.18","date":"2026-06-05T04:03:06Z","type":"stable","version":"v2.6.18"},{"url":"https://github.com/milvus-io/milvus/releases/tag/client/v2.6.5","date":"2026-05-26T02:44:44Z","type":"stable","version":"client/v2.6.5"},{"url":"https://github.com/milvus-io/milvus/releases/tag/v2.6.17","date":"2026-05-22T03:15:16Z","type":"stable","version":"v2.6.17"},{"url":"https://github.com/milvus-io/milvus/releases/tag/v2.6.16","date":"2026-05-14T04:15:09Z","type":"stable","version":"v2.6.16"},{"url":"https://github.com/milvus-io/milvus/releases/tag/v3.0-beta","date":"2026-05-09T04:49:46Z","type":"prerelease","version":"v3.0-beta"},{"url":"https://github.com/milvus-io/milvus/releases/tag/client/v2.6.4","date":"2026-05-08T02:40:41Z","type":"stable","version":"client/v2.6.4"},{"url":"https://github.com/milvus-io/milvus/releases/tag/v2.6.15","date":"2026-04-17T02:29:29Z","type":"stable","version":"v2.6.15"},{"url":"https://github.com/milvus-io/milvus/releases/tag/v2.6.14","date":"2026-04-07T02:08:37Z","type":"stable","version":"v2.6.14"}]` |
| security.disclosure_policy | yes | - |
| security.scorecard | - | 4.4 |
| security.vulnerabilities | - | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=go&package_name=github.com%2Fmilvus-io%2Fmilvus%2Fpkg&per_page=100","last_12m":0,"max_severity":null}` |

## Capabilities (Vector Databases)

| Capability | KDB.AI | Milvus |
|---|:--:|:--:|
| **Deployment** |  |  |
| Deployment | Managed | Self-hosted |
| Serverless / consumption pricing | - | ✓ |
| **Index** |  |  |
| ANN index (HNSW / IVF / DiskANN / ScaNN / flat) | Flat, qFlat, IVF, IVFPQ, HNSW, qHnsw | HNSW, IVF, FLAT, SCANN, DiskANN, GPU_CAGRA |
| Distance metrics (cosine / dot / Euclidean) | Euclidean, Inner-Product, Cosine | cosine, Euclidean, dot product |
| **Query** |  |  |
| Metadata filtering | Pre-filter | Pre-filter |
| Hybrid search (dense + sparse fusion) | ✓ | ✓ |
| Built-in BM25 / lexical | ✓ | ✓ |
| **Storage** |  |  |
| Quantization | Product | Product |
| On-disk vs in-memory | Disk-backed | Disk-backed |
| **Scale** |  |  |
| Multi-tenancy (namespaces / collections / tenants) | ✓ | ✓ |
| Horizontal scale | Sharded / distributed | Sharded / distributed |
| **Consistency** |  |  |
| Consistency | - | Eventual |
| **Licensing** |  |  |
| Licence class | - | Permissive OSS |
| **Classification** |  |  |
| Purpose-built vs feature-of-parent | Dedicated DBMS | Dedicated DBMS |

*Source: vioscaleAI. Generated 2026-10-16T20:59:45.915Z. "-" = undocumented, not absent.*