Actian VectorAI DB vs Milvus

Actian VectorAI DB9.0Visit Milvus8.8Visit

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

Milvus #6 in Vector Databases 8.8/10 Free plan Free plan✓ 3 of 3 features Visit Milvus

• Actian VectorAI DB fits best

  Teams needing broad deployment and multimodal inputs

• Milvus fits best

  Open-source teams needing maximum vector depth

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Side by side

Feature	Actian VectorAI DB 9.0/10 Visit ↗	Milvus 8.8/10 Visit ↗
At a glance
Editor score	9.0	8.8
Ranking	#4 in Vector Databases	#6 in Vector Databases
Best for	Teams needing broad deployment and multimodal inputs	Open-source teams needing maximum vector depth
Pricing model	Free plan + paid	Free
Starting price	$417/mo	Free plan
Free plan	✓	✓
Free trial	30 days	—
Deployment	Desktop, Self-hosted	Cloud, Self-hosted
Integrations	4 integrations	8 integrations
Features Actian VectorAI DB 2/3 · Milvus 3/3
Hybrid search	✓	✓
Metadata filtering	✓	✓
Sparse vectors	Not checked yet	✓ (best)
Specs
Deployment	Both	Both
Maximum dimensions	Not checked yet	Not checked yet
Index types	HNSW, flat	HNSW, IVF, FLAT, DiskANN, SCANN
SDK languages	Python, JavaScript, C++	Python, Go, Java, 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, filtered, and reranked search Runs locally, with Docker, or across distributed Kubernetes deployments Offers broad index coverage and SDKs for Python, Go, Java, Node.js, and C++
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	Self-hosted deployment places infrastructure and operations work on your team Its broad index catalog can make architecture decisions more involved Managed cloud is provided separately through Zilliz Cloud
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 →	Milvus is an open-source vector database for GenAI applications and similarity search. It suits teams building retrieval-augmented generation, image search, multimodal search, and large-scale production systems that need more than a single… 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

• Milvus — where it wins

  • Supports dense, sparse, binary, hybrid, filtered, and reranked search
  • Runs locally, with Docker, or across distributed Kubernetes deployments
  • Offers broad index coverage and SDKs for Python, Go, Java, Node.js, and C++

  Where it doesn't

  • Self-hosted deployment places infrastructure and operations work on your team
  • Its broad index catalog can make architecture decisions more involved
  • Managed cloud is provided separately through Zilliz Cloud

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

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

  Visit ActianFull verdict →
• Milvus8.8/10 · Free plan

  A deep, flexible open-source choice for demanding vector and hybrid search workloads.

  Visit MilvusFull verdict →