VikingDB

Paid#3 of 27 in Vector Databases

VikingDB: A cloud vector database with dense, sparse, hybrid, filtered, and multimodal retrieval. Ranked #3 of 27 in Vector Databases by our editors (9.1/10); pricing: Paid; best for cloud users needing multimodal vector retrieval.

9.1/10★★★★★Editor score

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At a glance

• Editor score
  9.1 / 10
• Pricing
  Paid
• Best for
  Cloud users needing multimodal vector retrieval
• Deployment
  Cloud
• Facts checked
  23 Sep 2026

• Where it wins

  • Supports dense, sparse, hybrid, filtered, and multimodal search
  • Offers HNSW, IVF, and DiskANN indexing
  • Provides streaming updates plus API and SDK access

• Where it doesn't

  • Cloud deployment may not suit on-premises requirements
  • Hourly postpaid billing can complicate fixed-budget planning
  • Documented integration coverage centers on LangChain

Our verdict on VikingDB

VikingDB is a cloud vector database from Volcengine for storing, indexing, and searching machine-learning vectors. It is aimed at teams building RAG systems, semantic search, recommendations, image similarity, video retrieval, data deduplication, and AI memory systems. Access is available through a SaaS console, APIs, and SDKs for Python, Java, Go, and Node.js, making it suitable for cloud applications that need programmatic retrieval across multiple data types.

Its standout capability is breadth across vector and multimodal workloads. VikingDB supports dense and sparse vectors, hybrid vector and scalar search, metadata filtering, and retrieval across text, images, and video. HNSW, IVF, and DiskANN indexing provide several index options, while streaming index updates support changing collections. Aggregation and statistical retrieval extend the service beyond basic nearest-neighbor lookup. LangChain is listed as an integration, and the web console, API, and SDK access support different development workflows.

VikingDB uses hourly postpaid billing, so it fits teams that prefer cloud service billing over fixed infrastructure ownership. The product is a strong choice for applications combining multiple retrieval modes, filtering, and multimodal data in one managed service. Teams requiring on-premises deployment, a narrower single-purpose search layer, or a fixed-budget pricing structure should evaluate alternatives before choosing it.

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VikingDB pricing

VikingDB fact sheet

VikingDB integrations

VikingDB lists 1 integrations on its own site.

• TOS

Alternatives to VikingDB

• ElasticsearchA broad hybrid-search platform for teams adding vectors to mature analytics stacks.9.3
• Vertex AI Vector SearchA managed Google Cloud option for teams building dense, sparse, and hybrid search.9.2
• Actian VectorAI DBA flexible self-hosted vector database for multimodal and hybrid retrieval.9.0

See all VikingDB alternatives →

VikingDB vs the competition

• VikingDB vs Elasticsearch
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Featured on iTechGuides

VikingDB is listed in our Vector Databases directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Last updated 7 Oct 2026 · How we research and update