Actian VectorAI DB vs Zilliz Cloud

Actian VectorAI DB9.0Visit Zilliz Cloud8.6Visit

Higher score Actian VectorAI DB #4 in Vector Databases 9.0/10 Free plan · 30-day trial Free planFree trial✓ 2 of 3 features Visit Actian

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

• Actian VectorAI DB fits best

  Teams needing broad deployment and multimodal inputs

• Zilliz Cloud fits best

  Managed Milvus-compatible cloud deployments

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Side by side

Feature	Actian VectorAI DB 9.0/10 Visit ↗	Zilliz Cloud 8.6/10 Visit ↗
At a glance
Editor score	9.0	8.6
Ranking	#4 in Vector Databases	#8 in Vector Databases
Best for	Teams needing broad deployment and multimodal inputs	Managed Milvus-compatible cloud deployments
Pricing model	Free plan + paid	Free plan + paid
Starting price	$417/mo	—
Free plan	✓	✓
Free trial	30 days	30 days
Free trial length	30 days	30 days · no card needed
Deployment	Desktop, Self-hosted	Cloud
Platforms	Linux, Windows, macOS	Web
Integrations	4 integrations	10 integrations
Features Actian VectorAI DB 2/3 · Zilliz Cloud 3/3
Hybrid search	✓	✓
Metadata filtering	✓	✓
Sparse vectors	Not checked yet	✓ (best)
Specs
Deployment	Both	Cloud
Maximum dimensions	Not checked yet	32768 dimensions
Index types	HNSW, flat	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, JavaScript, C++	Python, Java, Go, Node.js, C++
Our review
Pros	Dense, hybrid, filtered, and multimodal retrieval support Docker, Kubernetes, Helm, and Terraform deployment options Free Community plan plus a 30-day trial	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	Paid pricing is listed for only Starter and Growth Community capacity is limited to 5K vectors Sparse BM25 scoring is client-side rather than native storage	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	Actian VectorAI DB is a self-hosted vector database for semantic search, retrieval-augmented generation, recommendations, and AI agent memory. It supports local machines, servers, virtual machines, on-premises infrastructure, self-managed… 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

• Actian VectorAI DB — where it wins

  • Dense, hybrid, filtered, and multimodal retrieval support
  • Docker, Kubernetes, Helm, and Terraform deployment options
  • Free Community plan plus a 30-day trial

  Where it doesn't

  • Paid pricing is listed for only Starter and Growth
  • Community capacity is limited to 5K vectors
  • Sparse BM25 scoring is client-side rather than native storage

• 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

• Actian VectorAI DB9.0/10 · Free plan · 30-day trial

  A flexible self-hosted vector database for multimodal and hybrid retrieval.

  Visit ActianFull 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 →