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Weaviate vs Elasticsearch
Trust Score comparison · March 2026
VS
Trust Score Δ
8
🏆 Elasticsearch wins
Signal Comparison
250k / wknpm downloads3.8M / wk
150 commitsCommits (90d)891 commits
12k ★GitHub stars70k ★
3k q'sStack Overflow82k q's
ActiveCommunityHigh
WeaviateElasticsearch
Key Differences
| Factor | Weaviate | Elasticsearch |
|---|---|---|
| License | BSD-3-Clause | SSPL / Elastic License |
| Language | TypeScript / Python | Java |
| Hosted | Self-hosted | Yes |
| Free tier | — | — |
| Open Source | — | ✓ Yes |
| TypeScript | ✓ | — |
Pick Weaviate if…
- You want open-source vector DB you can self-host
- Hybrid search combining semantic + keyword
- Multi-tenant SaaS applications
Pick Elasticsearch if…
- You need full-text search with complex filtering and faceting
- You're building a log aggregation pipeline (ELK stack)
- You need near-real-time analytics over large datasets
Side-by-side Quick Start
Weaviate
import weaviate from 'weaviate-client';
const client = await weaviate.connectToWeaviateCloud(
process.env.WEAVIATE_URL,
{ authCredentials: new weaviate.ApiKey(process.env.WEAVIATE_API_KEY) }
);
const collection = client.collections.get('Article');
const result = await collection.query.nearText(['AI news'], { limit: 5 });
console.log(result.objects);Elasticsearch
from elasticsearch import Elasticsearch
es = Elasticsearch("https://localhost:9200")
# Index a document
es.index(index="tools", id=1, document={
"name": "Elasticsearch",
"category": "search",
"trust_score": 80,
})
# Full-text search
results = es.search(index="tools", body={
"query": {
"multi_match": {
"query": "search analytics",
"fields": ["name", "summary"]
}
}
})Community Verdict
Based on upvoted notes🏆
Elasticsearch wins this comparison
Trust Score 98 vs 90 · 8-point difference
Elasticsearch leads on Trust Score with stronger signal data across downloads and community health. That said, the other tool is worth considering if your use case matches its specific strengths above.