Zilliz Cloud vs Amazon OpenSearch Service

Zilliz Cloud8.9Visit Amazon OpenSearch Service8.2Visit

Higher score Zilliz Cloud #1 in Ai Databases 8.9/10 Free plan · 30-day trial Free planFree trial✓ 2 of 3 features Visit Zilliz Cloud

vs

Amazon OpenSearch Service #8 in Ai Databases 8.2/10 Paid ✓ 2 of 3 features Visit AWS

• Zilliz Cloud fits best

  Teams wanting a managed vector database with a free tier

• Amazon OpenSearch Service fits best

  AWS users building managed vector search and RAG

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Side by side

Feature	Zilliz Cloud 8.9/10 Visit ↗	Amazon OpenSearch Service 8.2/10 Visit ↗
At a glance
Editor score	8.9	8.2
Ranking	#1 in Ai Databases	#8 in Ai Databases
Best for	Teams wanting a managed vector database with a free tier	AWS users building managed vector search and RAG
Pricing model	Free plan + paid	Paid
Starting price	—	Not checked yet
Free plan	✓ (best)	—
Free trial	30 days	—
Deployment	Cloud	Cloud
Platforms	Web	Web
Support	Docs	Live chat, Tickets, Docs
Compliance	SSO/SAML, 2FA, GDPR, HIPAA, SOC 2, ISO 27001	SOC 2, ISO 27001, HIPAA, PCI DSS, SSO/SAML
Integrations	10 integrations	13 integrations
Built for	Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Zilliz Cloud 2/3 · Amazon OpenSearch Service 2/3
Metadata filtering	✓	✓
Hybrid search	✓	✓
Managed backups	Not checked yet	Not checked yet
Specs
Deployment	Not checked yet	Not checked yet
Index types	FLAT, IVF_FLAT, IVF_SQ8, IVF_PQ, HNSW, DISKANN, AUTOINDEX, SCANN, HNSW_SQ, HNSW_PQ, HNSW_PRQ, IVF_RABITQ, SPARSE_INVERTED_INDEX, SPARSE_WAND	Not checked yet
Max vector dimensions	32768 (best)	16000
Our review
Pros	Hybrid dense-sparse, BM25, multimodal, and filtered vector search Free plan includes 5 GB storage and 2.5 million vCUs monthly RBAC, SSO, MFA, private networking, and multiple compliance options	Combines vector and lexical search, with metadata filtering. Offers serverless collections with automatic scaling and scale-to-zero. Connects with AWS services including S3, Kinesis, and Bedrock.
Cons	Paid pricing varies by usage, deployment, provider, region, and resources Deployment is cloud-only Support channels list documentation only	Paid, usage-based pricing varies by deployment model and Region. Requires AWS ecosystem fit for its broadest integration value. Managed domains require choices for compute and storage configuration.
Our verdict	Zilliz Cloud is a managed Milvus-based vector database for teams building AI applications. It serves prototypes, development workloads, and production systems that need vector similarity search, metadata filtering, hybrid retrieval,… Read the review →	For teams building search, analytics, observability, or AI applications on AWS, Amazon OpenSearch Service provides managed OpenSearch domains and serverless collections. Its vector features support k-nearest-neighbor retrieval, semantic… Read the review →

Strengths and trade-offs

• Zilliz Cloud — where it wins

  • Hybrid dense-sparse, BM25, multimodal, and filtered vector search
  • Free plan includes 5 GB storage and 2.5 million vCUs monthly
  • RBAC, SSO, MFA, private networking, and multiple compliance options

  Where it doesn't

  • Paid pricing varies by usage, deployment, provider, region, and resources
  • Deployment is cloud-only
  • Support channels list documentation only

• Amazon OpenSearch Service — where it wins

  • Combines vector and lexical search, with metadata filtering.
  • Offers serverless collections with automatic scaling and scale-to-zero.
  • Connects with AWS services including S3, Kinesis, and Bedrock.

  Where it doesn't

  • Paid, usage-based pricing varies by deployment model and Region.
  • Requires AWS ecosystem fit for its broadest integration value.
  • Managed domains require choices for compute and storage configuration.

• Zilliz Cloud8.9/10 · Free plan · 30-day trial

  A managed vector database with hybrid search, enterprise controls, and a free tier.

  Visit Zilliz CloudFull verdict →
• Amazon OpenSearch Service8.2/10 · Paid

  A managed AWS option for teams combining vector retrieval with lexical search.

  Visit AWSFull verdict →