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Head-to-head · Ai Databases

Weaviate vs Amazon OpenSearch Service

  • Updated Oct 2026
  • Both researched from official sources
  • 3 checks side by side
Higher score Weaviate #3 in Ai Databases 8.7/10 Free plan Free plan✓ 2 of 3 features Visit Weaviate
Amazon OpenSearch Service #8 in Ai Databases 8.2/10 Paid ✓ 2 of 3 features Visit AWS

Weaviate leads on 1 check, Amazon OpenSearch Service on 0, and 2 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreWeaviate · 8.7/10
  • Free planonly Weaviate

Weaviate scores higher on our rubric for ai databases: 8.7 against 8.2 out of 10; our editors rank them #3 and #8.

Weaviate offers free plan; Amazon OpenSearch Service doesn't.

Weaviate is the better fit for teams needing cloud or self-hosted vector search. Amazon OpenSearch Service is the better fit for AWS users building managed vector search and RAG.

  • Weaviate fits best

    Teams needing cloud or self-hosted vector search

  • Amazon OpenSearch Service fits best

    AWS users building managed vector search and RAG

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.

Side by side

Feature Weaviate 8.7/10 Visit ↗ Amazon OpenSearch Service 8.2/10 Visit ↗
At a glance
Editor score 8.7 8.2
Ranking #3 in Ai Databases #8 in Ai Databases
Best for Teams needing cloud or self-hosted vector search AWS users building managed vector search and RAG
Pricing model Free plan + paid Paid
Starting price $45/mo Not checked yet
Free plan ✓ (best) —
Free trial — —
Deployment Cloud, Self-hosted Cloud
Platforms Web Web
Support Email, Phone, Community, Docs · 24/7 Live chat, Tickets, Docs
Compliance SOC 2, HIPAA, SSO/SAML SOC 2, ISO 27001, HIPAA, PCI DSS, SSO/SAML
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Weaviate 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 HNSW, Flat, Dynamic, HFresh Not checked yet
Max vector dimensions Not checked yet 16000
Our review
Pros
  • Hybrid vector and BM25 keyword search with metadata filtering
  • Cloud and self-hosted deployment with multiple index types
  • REST, GraphQL, gRPC APIs and five official client-language 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
  • Free plan is limited to 100,000 objects and 1 GB memory
  • Flex starts at $45 per month with a shared cloud cluster
  • Premium requires a $400 monthly prepaid contract
  • 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

Weaviate is an open-source vector database for developers building semantic search, retrieval-augmented generation, recommendations, and other AI applications. It stores objects with vector embeddings and supports vector similarity,…

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 →
  1. WeaviateAi Databases 8.7Free plan
  2. Amazon OpenSearch ServiceAi Databases 8.2Paid

Strengths and trade-offs

  • Weaviate — where it wins

    • Hybrid vector and BM25 keyword search with metadata filtering
    • Cloud and self-hosted deployment with multiple index types
    • REST, GraphQL, gRPC APIs and five official client-language options

    Where it doesn't

    • Free plan is limited to 100,000 objects and 1 GB memory
    • Flex starts at $45 per month with a shared cloud cluster
    • Premium requires a $400 monthly prepaid contract
  • 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.
  • Weaviate8.7/10 · Free plan

    A flexible vector database with hybrid search, multiple APIs, and cloud or self-hosted deployment.

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

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

    Visit AWSFull verdict →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update