OpenSearch vs Redis
- ✦ Full-text search
- ✦ k-NN vector search
- ✦ SQL query support
- ✦ 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?”
Migrate from Elasticsearch to OpenSearch with API-compatible clients and keep the same application code
Route CloudWatch logs to OpenSearch Service via Kinesis for centralized log search without leaving AWS
Store document embeddings and run hybrid text+vector search with the k-NN plugin to improve retrieval accuracy
Correlate AWS CloudTrail and VPC flow logs in OpenSearch to detect anomalous access patterns in near-real-time
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
OpenSearch Plans
Free tier available
- • Apache 2.0 license
- • Self-hosted
- • Full features
- • From $0.096/hr per instance
- • Managed by AWS
- • Pay-as-you-go
Redis Plans
Free tier available
- • Full Redis
- • RSAL license
- • Community support
- • Managed Redis
- • Free 30MB tier
- • 99.999% SLA
Feature Matrix
9 differences found across 18 standardized features
- •Full-text search
- •k-NN vector search
- •SQL query support
- •Distributed sharding
- •ML inference nodes
- •Security plugin (built-in)
- •Observability dashboards
- •Anomaly detection
- •Index rollups
- •REST API
- •Cross-cluster replication
- •Snapshot to S3
- •ISM (Index State Management)
- •Alerting plugin
- •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
- +Apache 2.0 license - no SSPL restrictions
- +API-compatible with Elasticsearch for easy migration
- +Built-in security plugin at no extra cost vs Elastic
- −Feature development lags Elasticsearch in some areas
- −AWS-managed version has less flexibility than self-managed Elastic
- +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.OpenSearch Official Pricing–Vendor pricing page
- 2.Redis Official Pricing–Vendor pricing page
- 3.OpenSearch Official Website–Official product website
- 4.Redis Official Website–Official product website