Head-to-head · Ai Databases
Weaviate vs Elasticsearch
Weaviate leads on 0 checks, Elasticsearch on 0, and 3 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 planboth
- Free trialonly Elasticsearch
- Most featuresWeaviate · 2 of 3
Weaviate scores higher on our rubric for ai databases: 8.7 against 8.4 out of 10; our editors rank them #3 and #6.
Weaviate is the better fit for teams needing cloud or self-hosted vector search. Elasticsearch is the better fit for teams combining vector retrieval with established search.
- Weaviate fits best
Teams needing cloud or self-hosted vector search
- Elasticsearch fits best
Teams combining vector retrieval with established search
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Side by side
| Feature | Weaviate 8.7/10 Visit ↗ | Elasticsearch 8.4/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.7 | 8.4 |
| Ranking | #3 in Ai Databases | #6 in Ai Databases |
| Best for | Teams needing cloud or self-hosted vector search | Teams combining vector retrieval with established search |
| Pricing model | Free plan + paid | Free plan + paid |
| Starting price | $45/mo | — |
| Free plan | ✓ | ✓ |
| Free trial | — | 14 days |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Email, Phone, Community, Docs · 24/7 | Phone, Live chat · 24/7 |
| Built for | Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Weaviate 2/3 · Elasticsearch 0/3 | ||
| Metadata filtering | ✓ (best) | Not checked yet |
| Hybrid search | ✓ (best) | Not checked yet |
| 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 | Not checked yet |
| Our review | ||
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| 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 → |
Elasticsearch is a distributed search and analytics engine for structured, unstructured, and vector data. It suits teams that need vector or semantic retrieval alongside established full-text search, filtering, aggregations, and real-time… Read the review → |
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
Elasticsearch — where it wins
- Combines lexical, vector, semantic, and hybrid search
- Supports filtering, aggregations, and geospatial search
- Offers self-managed and managed cloud deployments
Where it doesn't
- Paid Elastic Cloud Hosted starts at $99 per month
- Paid tiers add features in steps across multiple plans
- Self-managed Basic differs from the managed cloud offering
- Weaviate8.7/10 · Free plan
A flexible vector database with hybrid search, multiple APIs, and cloud or self-hosted deployment.
Visit WeaviateFull verdict → - Elasticsearch8.4/10 · Free plan · 14-day trial
A flexible search engine for teams adding vector and hybrid retrieval to established search.
Visit ElasticsearchFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update







