Cassandra vs Elasticsearch: Key Differences & When to Use Each
Comprehensive side-by-side comparison of features, pricing, and metrics
Key Differences
Compare Cassandra and Elasticsearch across features, pricing, integrations, and community metrics. Cassandra / Elasticsearch.
Feature
Cassandra
Database
Elasticsearch
Database
Side-by-side comparison of developer tools
Highly-scalable distributed database
Distributed RESTful search and analytics engine
GitHub Stars
⭐ 9,764
⭐ 76,943
Contributors
👥 675
👥 2,492
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Java
Java
Features
- • Cassandra
- • Database
- • Java
- • Elasticsearch
- • Java
- • Search Engine
Integrations
- • prometheus
- • elasticsearch
Momentum Score
72/100Momentum727272
(stable)
72/100Momentum727272
(stable)
Community Health
57/100Health575757
(moderate)
95/100Health959595
(excellent)
Maturity Index
50/100Maturity505050
(emerging)
93/100Maturity939393
(mature)
Innovation Score
23/100Innovation232323
(traditional)
65/100Innovation656565
(progressive)
Risk Score (higher is safer)
53/100Risk535353
(low)
86/100Risk868686
(minimal)
Developer Experience
21/100DX212121
(poor)
54/100DX545454
(needs-improvement)
Links
Cassandra Strengths
Elasticsearch Strengths
- ✓ More popular (76,943 stars)
- ✓ Larger community (2,492 contributors)
When to Use Cassandra vs Elasticsearch
Use Cassandra when its strengths align better with your stack and team needs, and choose Elasticsearch when its ecosystem, integrations, or cost profile is a better fit.
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Data source: GitHub API
Last updated: 6/12/2026