Elasticsearch vs Redis
- ✦ Full-text search
- ✦ Inverted index
- ✦ Distributed sharding
- ✦ In-Memory Storage
- ✦ Persistent Storage (RDB/AOF)
- ✦ Pub/Sub Messaging
Real-World Scenarios: When to Choose Which
The question that matters: “In what situation will I regret choosing A over B after 3 months?”
Build relevance-ranked search over product catalogs with typo tolerance and faceted filtering
Ingest server logs via Logstash, store in Elasticsearch, visualize anomalies in Kibana in near-real-time
Correlate security events across systems using Elasticsearch SIEM to detect threats within minutes
Power autocomplete and faceted search across millions of SKUs with sub-100ms query latency
Redis stores user session data with consistent sub-millisecond GET operations, handling 100K+ requests per second with a single instance where a database session store would create a bottleneck.
Redis INCR with EXPIRE implements sliding window rate limiting in 2 lines of code, enforcing per-user API quotas without adding a separate rate limiting service.
Redis Pub/Sub broadcasts events to thousands of connected subscribers in under 1ms, enabling real-time dashboards or notifications without polling the database.
Pricing Intelligence
Elasticsearch Plans
Free tier available
- • Core search features
- • Self-hosted
- • Basic security
- • From $95/mo
- • Managed deployment
- • Kibana included
- • ML features
- • Cross-cluster search
- • Dedicated support
Redis Plans
Free tier available
- • Full Redis
- • RSAL license
- • Community support
- • Managed Redis
- • Free 30MB tier
- • 99.999% SLA
Feature Matrix
10 differences found across 18 standardized features
- •Full-text search
- •Inverted index
- •Distributed sharding
- •JSON document storage
- •Aggregations
- •Geospatial queries
- •Vector search (kNN)
- •REST API
- •Index lifecycle management
- •Role-based access control
- •Kibana integration
- •Machine learning anomaly detection
- •Cross-cluster replication
- •Snapshot and restore
- •In-Memory Storage
- •Persistent Storage (RDB/AOF)
- •Pub/Sub Messaging
- •Streams
- •Sorted Sets / Lists / Hashes
- •Lua Scripting
- •Transactions (MULTI/EXEC)
- •Cluster Mode
- •Sentinel (HA)
- •Redis Search
- •Redis JSON
- •Redis Time Series
- •Redis Vector Similarity Search
- •Keyspace Notifications
- •TTL / Expiry
- •Replication
Pros & Cons Face-Off
Evaluative strengths and weaknesses: not feature lists
- +Best-in-class full-text search with relevance tuning
- +Rich aggregation engine for log analytics and dashboards
- +Massive ecosystem with Logstash, Kibana, and Beats
- −SSPL license prevents use in competing managed services
- −Resource-intensive: requires significant heap memory for JVM
- +Sub-millisecond latency: fastest data store for caching
- +Universal: supported by every framework and language
- +Rich data structures for real-time use cases
- +Redis Stack adds search, JSON, and vector capabilities
- −License changed to RSAL: Valkey is the open-source BSD fork
- −In-memory storage makes large datasets expensive
At a Glance
Frequently Asked Questions
Related Comparisons
Sources
- 1.Elasticsearch Official Pricing–Vendor pricing page
- 2.Redis Official Pricing–Vendor pricing page
- 3.Elasticsearch Official Website–Official product website
- 4.Redis Official Website–Official product website