Elasticsearch vs Weaviate

- ✦ Dense Vector Search (kNN)
- ✦ Sparse Vector Search (ELSER)
- ✦ Hybrid Search (RRF)

- ✦ Open Source (Apache 2.0)
- ✦ Hybrid Search (BM25 + Vector)
- ✦ Multimodal Support
Elasticsearch and Weaviate are both Vector Databases tools. Elasticsearch starts at $99/mo, Weaviate at $45/mo. Compare features, pricing, and ratings below to find the best fit for your team.
When to Choose Elasticsearch vs Weaviate
The question that matters: “In what situation will I regret choosing A over B after 3 months?”
Weaviate's multi2vec module indexes text and image objects in the same collection, enabling cross-modal search where a text query returns images and vice versa without separate pipelines.
Weaviate's Generative Search module passes retrieved objects directly to an LLM within the same query, cutting latency by eliminating a separate LLM API call for RAG retrieval-generation pipelines.
Weaviate's structured schema enforces data types on vector objects, enabling filtered vector search that combines nearest neighbor with exact property matches and reducing false positives in metadata-sensitive retrieval.
Pricing Comparison & PlansHigh· Verified Jul 8, 2026
Free / Basic
Free- ✓Core Elasticsearch and Kibana
- ✓TLS, authentication, role-based access control
- ✓Index lifecycle management (ILM)
- ✓Snapshots and restore
- ✓Basic alerting
Standard
$99/mo- ✓Distributed Elasticsearch Platform across AWS, Azure, and GCP
- ✓Robust API platform and language clients
- ✓Monitoring on by default with AutoOps
- ✓Scalable, secure Elasticsearch datastore
- ✓Optimized for fast high volume vector & semantic data storage and retrieval
Gold
$114/mo- ✓Everything in Standard
- ✓Reporting
- ✓Third-party alerting actions
- ✓Watcher
- ✓Multi-stack monitoring
Platinum
$131/mo- ✓Everything in Gold
- ✓Advanced Elastic Stack security features
- ✓Machine learning (ML) - anomaly detection, supervised learning, third-party model management
- ✓Cross-cluster replication
- ✓Field/Document Level Security (FLS/DLS)
Open-Source
Open SourceBest for: Good for self-hosting and full control over your vector database
- ✓Full feature access
- ✓Control over infrastructure
- ✓Self-hosted deployment
- ✓BSD-3 license
Sandbox
FreeBest for: Ideal for testing and development without commitment
- ✓Managed cloud
- ✓Learning and prototyping
- ✓2,000 requests/day limit
- ✓14-day trial
Flex
$45/moBest for: Prototypes, pilots, small use cases
- ✓Entry-level managed tier
- ✓Shared multi-tenant infrastructure
- ✓Pay-as-you-go pricing
- ✓99.5% SLA
- ✓Self-service scaling
Capability Breakdown
3 differences found across 14 standardized features
- •Dense Vector Search (kNN)
- •Sparse Vector Search (ELSER)
- •Hybrid Search (RRF)
- •Full-Text Search (BM25)
- •Semantic Search
- •Aggregations & Analytics
- •ML Model Integration
- •Kibana Dashboards
- •REST API
- •Python/Java/Node SDKs
- •Index Lifecycle Management
- •Security (TLS, RBAC)
- •Observability Stack (ELK)
- •LangChain Integration
- •Scalable Sharding
- •APM
- •Open Source (Apache 2.0)
- •Hybrid Search (BM25 + Vector)
- •Multimodal Support
- •GraphQL API
- •REST API
- •gRPC API
- •Built-in Vectorizers (OpenAI, Cohere, etc.)
- •Generative Search
- •Multi-tenancy
- •Modules Architecture
- •Kubernetes Deployment
- •Schema Management
- •Batch Import
- •Cross-References (Graph)
- •Python/JS/Go SDKs
- •LangChain Integration
Strengths & Limitations
Evaluative strengths and weaknesses: not feature lists
- +Combines vector search with world-class full-text search in one engine
- +1B+ downloads: vast operational expertise available
- +ELSER provides state-of-the-art sparse vector without custom models
- +Part of comprehensive ELK observability stack
- −I have not explored Elastic Search at the most.
- +Open source with managed cloud option gives deployment flexibility
- +Built-in vectorizers reduce pipeline complexity
- +Knowledge graph cross-references unique in category
- +Active community and excellent documentation
- −GraphQL API has steeper learning curve
- −Performance benchmarks trail Qdrant at very high scale
At a Glance
Recent Price History
Elasticsearch added a new "Gold" plan at $114/mo
Plan added · May 30, 2026
Elasticsearch removed the "Free (Self-Managed)" plan
Plan removed · May 30, 2026
Elasticsearch added a new "Enterprise" plan at $184/mo
Plan added · May 30, 2026
Elasticsearch added a new "Platinum" plan at $131/mo
Plan added · May 30, 2026
Frequently Asked Questions
Related Comparisons
Sources & Data Trail · Elasticsearch
- 1.Official Pricing Page·Source of verified tiers(Checked: 2026-07-08)
- 2.Official Website·Official vendor website
- 3.G2·G2 verified reviews · 4.5/5 · 292 reviews
- 4.Capterra·Capterra verified reviews · 4.4/5
- 5.TrustRadius·TrustRadius verified reviews
- 6.PeerSpot·PeerSpot enterprise peer reviews
Sources & Data Trail · Weaviate
- 1.Official Pricing Page·Source of verified tiers(Checked: 2026-07-08)
- 2.Official Website·Official vendor website
- 3.G2·G2 verified reviews · 4.6/5 · 29 reviews
- 4.TrustRadius·TrustRadius verified reviews
- 5.PeerSpot·PeerSpot enterprise peer reviews
