Head-to-head · Ai Databases
Zilliz Cloud vs Elasticsearch
Zilliz Cloud 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 scoreZilliz Cloud · 8.9/10
- Free planboth
- Free trialboth
- Most featuresZilliz Cloud · 2 of 3
Zilliz Cloud scores higher on our rubric for ai databases: 8.9 against 8.4 out of 10; our editors rank them #1 and #6.
Zilliz Cloud is the better fit for teams wanting a managed vector database with a free tier. Elasticsearch is the better fit for teams combining vector retrieval with established search.
- Zilliz Cloud fits best
Teams wanting a managed vector database with a free tier
- Elasticsearch fits best
Teams combining vector retrieval with established search
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Side by side
| Feature | Zilliz Cloud 8.9/10 Visit ↗ | Elasticsearch 8.4/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.9 | 8.4 |
| Ranking | #1 in Ai Databases | #6 in Ai Databases |
| Best for | Teams wanting a managed vector database with a free tier | Teams combining vector retrieval with established search |
| Pricing model | Free plan + paid | Free plan + paid |
| Starting price | — | — |
| Free plan | ✓ | ✓ |
| Free trial | 30 days | 14 days |
| Free trial length | 30 days · no card needed | 14 days · no card needed |
| Deployment | Cloud | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Docs | Phone, Live chat · 24/7 |
| Integrations | 10 integrations | 3 integrations |
| Built for | Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Zilliz Cloud 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 | 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 | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| 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 → |
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
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
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
- 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 → - 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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All ai databases comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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