Elasticsearch vs Logstash: Diferencas principais e quando usar cada um
Análise abrangente das principais diferenças, casos de uso e sinais da comunidade.
Diferencas principais
Compare Elasticsearch e Logstash em recursos, preco, integracoes e metricas da comunidade. Elasticsearch / Logstash.
Recurso
Elasticsearch
Database
Logstash
Logging
Compare ferramentas para desenvolvedores lado a lado com métricas reais.
Distributed RESTful search and analytics engine
Server-side data processing pipeline
GitHub Stars
⭐ 77.833
⭐ 14.920
Contributors
👥 2.529
👥 618
Pricing
✓ Grátis
Enterprise: Contact sales
✓ Grátis
Enterprise: Contact sales
Languages
Java
Java
Features
- • Elasticsearch
- • Java
- • Search Engine
- • Etl Framework
- • Java
- • Jruby
- • Logging
- • Real Time Processing
Integrations
- • elasticsearch
No integrations listed
Momentum Score
81/100Momentum818181
(slowing)
59/100Momentum595959
(stable)
Community Health
95/100Health959595
(excellent)
34/100Health343434
(needs-attention)
Maturity Index
93/100Maturity939393
(mature)
49/100Maturity494949
(emerging)
Innovation Score
64/100Innovation646464
(progressive)
51/100Innovation515151
(evolving)
Risk Score (higher is safer)
86/100Risk868686
(minimal)
54/100Risk545454
(low)
Developer Experience
53/100DX535353
(needs-improvement)
53/100DX535353
(needs-improvement)
Links
Elasticsearch Strengths
- ✓ More popular (77.833 estrelas)
- ✓ Larger community (2.529 contributors)
Logstash Strengths
- ✓ More features (5 listed)
Quando usar Elasticsearch vs Logstash
Use Elasticsearch quando seus pontos fortes se encaixarem melhor no seu stack e equipe, e escolha Logstash quando ecossistema, integracoes ou custo forem mais adequados.
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Data source: GitHub API
Última atualização 8/17/2026