VikingDB vs Zilliz Cloud

VikingDB9.1Visit Zilliz Cloud8.6Visit

Higher score VikingDB #3 in Vector Databases 9.1/10 Paid ✓ 3 of 3 features Visit VikingDB

vs

Zilliz Cloud #8 in Vector Databases 8.6/10 Free plan · 30-day trial Free planFree trial✓ 3 of 3 features Visit Zilliz Cloud

• VikingDB fits best

  Cloud users needing multimodal vector retrieval

• Zilliz Cloud fits best

  Managed Milvus-compatible cloud deployments

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Side by side

Feature	VikingDB 9.1/10 Visit ↗	Zilliz Cloud 8.6/10 Visit ↗
At a glance
Editor score	9.1	8.6
Ranking	#3 in Vector Databases	#8 in Vector Databases
Best for	Cloud users needing multimodal vector retrieval	Managed Milvus-compatible cloud deployments
Pricing model	Paid	Free plan + paid
Starting price	Not checked yet	—
Free plan	Not checked yet	✓ (best)
Free trial	—	30 days
Deployment	Cloud	Cloud
Platforms	Web	Web
Support	Docs	Docs
Integrations	1 integrations	10 integrations
Built for	Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features VikingDB 3/3 · Zilliz Cloud 3/3
Hybrid search	✓	✓
Metadata filtering	✓	✓
Sparse vectors	✓	✓
Specs
Deployment	Cloud	Cloud
Maximum dimensions	4096 dimensions	32768 dimensions (best)
Index types	HNSW, HNSW-Hybrid, FLAT, IVF, DiskANN	FLAT, IVF_FLAT, IVF_SQ8, IVF_PQ, HNSW, DISKANN, AUTOINDEX, SCANN, HNSW_SQ, HNSW_PQ, HNSW_PRQ, IVF_RABITQ, SPARSE_INVERTED_INDEX, SPARSE_WAND
SDK languages	Python, Java, Go, Node.js	Python, Java, Go, Node.js, C++
Our review
Pros	Supports dense, sparse, hybrid, filtered, and multimodal search Offers HNSW, IVF, and DiskANN indexing Provides streaming updates plus API and SDK access	Supports dense, sparse, binary, hybrid, and full-text search Includes filtering, reranking, backups, restore, and migration tools Offers SaaS and BYOC deployment with major cloud storage integrations
Cons	Cloud deployment may not suit on-premises requirements Hourly postpaid billing can complicate fixed-budget planning Documented integration coverage centers on LangChain	Paid tiers use usage-based pricing rather than fixed subscription rates Cloud deployment may not suit teams seeking a self-hosted product Its broad feature set may exceed the needs of simple vector search projects
Our verdict	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… Read the review →	Zilliz Cloud is a fully managed Milvus service for building and operating vector search applications. It is aimed at teams developing semantic search, retrieval-augmented generation, recommendations, and multimodal retrieval workloads… Read the review →

Strengths and trade-offs

• VikingDB — 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

• Zilliz Cloud — where it wins

  • Supports dense, sparse, binary, hybrid, and full-text search
  • Includes filtering, reranking, backups, restore, and migration tools
  • Offers SaaS and BYOC deployment with major cloud storage integrations

  Where it doesn't

  • Paid tiers use usage-based pricing rather than fixed subscription rates
  • Cloud deployment may not suit teams seeking a self-hosted product
  • Its broad feature set may exceed the needs of simple vector search projects

• VikingDB9.1/10 · Paid

  A cloud vector database with dense, sparse, hybrid, filtered, and multimodal retrieval.

  Visit VikingDBFull verdict →
• Zilliz Cloud8.6/10 · Free plan · 30-day trial

  A capable managed vector database for teams building AI search applications.

  Visit Zilliz CloudFull verdict →