Elasticsearch vs Redis: Key Differences & When to Use Each

Comprehensive side-by-side comparison of features, pricing, and metrics

Key Differences

Compare Elasticsearch and Redis across features, pricing, integrations, and community metrics. Elasticsearch / Redis.

Feature

Elasticsearch

Database

Redis

Database

Side-by-side comparison of developer tools
Distributed RESTful search and analytics engine
In-memory data structure store
GitHub Stars
⭐ 76,943
⭐ 74,816
Contributors
👥 2,492
👥 924
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Java
C
Features
  • • Elasticsearch
  • • Java
  • • Search Engine
  • • Cache
  • • Caching
  • • Database
  • • Distributed Systems
  • • In Memory
Integrations
  • • elasticsearch
  • • redis
Momentum Score
72/100 (stable)
88/100 (slowing)
Community Health
95/100 (excellent)
81/100 (good)
Maturity Index
93/100 (mature)
82/100 (established)
Innovation Score
65/100 (progressive)
91/100 (pioneering)
Risk Score (higher is safer)
86/100 (minimal)
69/100 (low)
Developer Experience
54/100 (needs-improvement)
68/100 (fair)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

Elasticsearch Strengths

  • ✓ More popular (76,943 stars)
  • ✓ Larger community (2,492 contributors)

Redis Strengths

  • ✓ More features (5 listed)

When to Use Elasticsearch vs Redis

Use Elasticsearch when its strengths align better with your stack and team needs, and choose Redis when its ecosystem, integrations, or cost profile is a better fit.

Related comparisons

Elasticsearch vs ClickHouse → Redis vs ClickHouse → Elasticsearch vs TiDB → Redis vs TiDB → Elasticsearch vs CockroachDB → Redis vs CockroachDB → Elasticsearch vs InfluxDB → Redis vs InfluxDB → Elasticsearch vs MongoDB → Redis vs MongoDB → Elasticsearch vs TimescaleDB → Redis vs TimescaleDB →

More Comparisons

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Data source: GitHub API

Last updated: 6/12/2026