# KDB.AI vs Qdrant

**Leader by vioscaleAI score:** Qdrant

| Attribute | KDB.AI | Qdrant |
|---|---|---|
| **vioscaleAI score** | 47.1 (24% (low)) | 55.8 (65% (medium)) |
| activity.commits_last_30d | - | 100 |
| adoption.dependent_repos | - | 0 |
| adoption.github_stars | - | 35,060 |
| 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 vector database engine that provides fast similarity search over high-dimensional vectors, available in managed cloud, self-hosted open source, and hybrid deployment models for AI applications. It is indexed under Vector Databases.","source":"https://qdrant.tech/documentation/cloud-pricing-payments/","question":"What is Qdrant?","confidence":0.6},{"answer":"Qdrant offers a free tier, so you can start without paying. Pricing changes often, so verify at source before relying on it.","source":"https://qdrant.tech/documentation/cloud-pricing-payments/","question":"Is Qdrant free?","confidence":0.6},{"answer":"We have confirmed browser-based access to Qdrant. 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://qdrant.tech/documentation/cloud-pricing-payments/","question":"What platforms does Qdrant support?","confidence":0.6},{"answer":"Yes. Qdrant can be deployed cloud / SaaS, hybrid, on-premise, air-gapped and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://qdrant.tech/documentation/cloud-pricing-payments/","question":"Can Qdrant be self-hosted?","confidence":0.6},{"answer":"We have confirmed 6 integrations for Qdrant, including Slack, Adobe, Hubspot, Arize, Google DeepMind and Qualcomm. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://qdrant.tech","question":"What does Qdrant integrate with?","confidence":0.6},{"answer":"We have independently confirmed SOC 2, HIPAA and GDPR for Qdrant. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Qdrant not holding them. Always confirm compliance directly before you rely on it.","source":"https://qdrant.tech","question":"What security certifications does Qdrant have?","confidence":0.48},{"answer":"Yes. Qdrant 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/qdrant/qdrant","question":"Is Qdrant open source?","confidence":0.95}]` |
| deployment.options | `{"cloud":true,"on_prem":true}` | `{"cloud":true,"on_prem":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 database system designed for storing and searching vectors with comprehensive filtering capabilities. It provides production-ready APIs and tools for semantic similarity matching and embedding-based 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","deployment":"self_hosted","quantization":"scalar","storage_tier":"disk_backed","hybrid_search":true,"licence_class":"source_available","multi_tenancy":true,"product_class":"dedicated_dbms","full_text_bm25":true,"distance_metrics":"dot product","horizontal_scale":"sharded_distributed"}` |
| integrations.count | 5 | 4 |
| integrations.list | `[{"name":"Hugging Face"},{"name":"NVIDIA cuVS"},{"name":"LlamaIndex"},{"name":"Langchain"},{"name":"Voyage AI"},{"name":"TwelveLabs"},{"name":"Google Colab"},{"name":"HuggingFace"}]` | `[{"name":"Slack"},{"name":"Adobe"},{"name":"Hubspot"},{"name":"Arize"},{"name":"Google DeepMind"},{"name":"Qualcomm"},{"name":"Cohere","native":true,"category":"embeddings","direction":"bidirectional"},{"name":"AWS","native":true},{"name":"GCP","native":true},{"name":"Azure","native":true},{"name":"LangChain","native":true,"category":"framework"},{"name":"FastEmbed","native":true,"category":"embedding"},{"name":"Google Cloud Storage","native":false,"category":"storage"},{"name":"Azure Blob Storage","native":false,"category":"storage"}]` |
| language.primary | - | Rust |
| license.spdx | - | Apache-2.0 |
| market.availability | - | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | - | `{"web":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":"usage","summary":"Usage-based pricing billed monthly based on CPU, memory, and disk storage consumption. Free tier available.","currency":"USD","freeTier":true,"sourceUrl":"https://qdrant.tech/documentation/cloud-pricing-payments/","retrievedAt":"2026-09-10T21:04:02.653Z","billingPeriods":["month"]}` |
| pricing.free_tier | yes | yes |
| pricing.model | commercial | commercial |
| pricing.price_level | low | low |
| pricing.transparent | no | yes |
| release.cadence_days | - | 18 |
| release.history | - | `[{"url":"https://github.com/qdrant/qdrant/releases/tag/v1.19.2","date":"2026-10-05T14:16:50Z","type":"stable","version":"v1.19.2"},{"url":"https://github.com/qdrant/qdrant/releases/tag/v1.19.1","date":"2026-09-04T07:59:14Z","type":"stable","version":"v1.19.1"},{"url":"https://github.com/qdrant/qdrant/releases/tag/v1.19.0","date":"2026-08-05T11:26:05Z","type":"stable","version":"v1.19.0"},{"url":"https://github.com/qdrant/qdrant/releases/tag/v1.18.3","date":"2026-07-17T13:18:39Z","type":"stable","version":"v1.18.3"},{"url":"https://github.com/qdrant/qdrant/releases/tag/v1.18.2","date":"2026-06-04T06:50:36Z","type":"stable","version":"v1.18.2"},{"url":"https://github.com/qdrant/qdrant/releases/tag/v1.18.1","date":"2026-05-22T12:31:50Z","type":"stable","version":"v1.18.1"},{"url":"https://github.com/qdrant/qdrant/releases/tag/v1.18.0","date":"2026-05-11T15:04:38Z","type":"stable","version":"v1.18.0"},{"url":"https://github.com/qdrant/qdrant/releases/tag/v1.17.1","date":"2026-03-27T08:37:25Z","type":"stable","version":"v1.17.1"},{"url":"https://github.com/qdrant/qdrant/releases/tag/v1.17.0","date":"2026-02-20T11:11:50Z","type":"stable","version":"v1.17.0"},{"url":"https://github.com/qdrant/qdrant/releases/tag/v1.16.3","date":"2025-12-19T17:45:42Z","type":"stable","version":"v1.16.3"},{"url":"https://github.com/qdrant/qdrant/releases/tag/v1.16.2","date":"2025-12-04T11:03:49Z","type":"stable","version":"v1.16.2"},{"url":"https://github.com/qdrant/qdrant/releases/tag/v1.16.1","date":"2025-11-25T17:16:19Z","type":"stable","version":"v1.16.1"},{"url":"https://github.com/qdrant/qdrant/releases/tag/v1.16.0","date":"2025-11-17T14:32:11Z","type":"stable","version":"v1.16.0"},{"url":"https://github.com/qdrant/qdrant/releases/tag/v1.15.5","date":"2025-09-30T12:23:50Z","type":"stable","version":"v1.15.5"},{"url":"https://github.com/qdrant/qdrant/releases/tag/v1.15.4","date":"2025-08-27T11:24:04Z","type":"stable","version":"v1.15.4"},{"url":"https://github.com/qdrant/qdrant/releases/tag/v1.15.3","date":"2025-08-14T16:30:06Z","type":"stable","version":"v1.15.3"},{"url":"https://github.com/qdrant/qdrant/releases/tag/v1.15.2","date":"2025-08-11T18:04:43Z","type":"stable","version":"v1.15.2"},{"url":"https://github.com/qdrant/qdrant/releases/tag/v1.15.1","date":"2025-07-24T10:18:56Z","type":"stable","version":"v1.15.1"},{"url":"https://github.com/qdrant/qdrant/releases/tag/v1.15.0","date":"2025-07-18T13:08:28Z","type":"stable","version":"v1.15.0"},{"url":"https://github.com/qdrant/qdrant/releases/tag/v1.14.1","date":"2025-05-23T13:09:01Z","type":"stable","version":"v1.14.1"}]` |
| security.disclosure_policy | yes | - |
| security.gdpr | - | yes |
| security.hipaa | - | yes |
| security.soc2 | - | yes |
| security.trust_center | - | https://qdrant.tech/documentation/security/ |
| security.vulnerabilities | - | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=nixpkgs&package_name=qdrant&per_page=100","last_12m":0,"max_severity":null}` |

## Capabilities (Vector Databases)

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

*Source: vioscaleAI. Generated 2026-10-16T22:11:11.072Z. "-" = undocumented, not absent.*