Redis vs DynamoDB
Redis delivers sub-millisecond latency as an in-memory store with vector search, caching, and rich data structures. DynamoDB is a fully managed serverless NoSQL database on AWS with single-digit millisecond latency and automatic scaling. Redis for speed-critical caching and real-time data; DynamoDB for serverless, infinitely scalable key-value workloads on AWS.
Redis Vector
Sub-millisecond vector search in memory
CRedis Source Available Licensetraditional
Key Features
- Sub-millisecond latency
- In-memory vector index
- HNSW & FLAT algorithms
- Hybrid vector + tag filtering
- Redis Stack modules
- Redis Enterprise Cloud
Pricing
Open SourceFree
Cloud (Free)$0
Cloud (Essentials)From $5/mo
EnterpriseCustom
Use Cases
Real-time recommendationsChatbot session memoryLow-latency semantic searchCaching + similarity
A
Amazon DynamoDB
Fully managed serverless NoSQL database on AWS
Managed serviceProprietarycloud
Key Features
- Single-digit millisecond latency
- Automatic scaling
- Built-in security and encryption
- Global Tables (multi-region)
- DynamoDB Streams
- PartiQL SQL-compatible queries
- Point-in-time recovery
Pricing
On-demandPay per request
ProvisionedFrom $0.00065/hr
Use Cases
Serverless appsGaming leaderboardsIoT dataSession management
Verdict
Redis for ultra-low latency, caching, and vector search. DynamoDB for serverless, auto-scaling NoSQL workloads on AWS.
Choose Redis Vector if you need:
- ✓Sub-millisecond latency
- ✓In-memory vector index
- ✓HNSW & FLAT algorithms
Choose Amazon DynamoDB if you need:
- ✓Serverless scaling and managed operations
- ✓Single-digit millisecond latency
- ✓Automatic scaling
- ✓Built-in security and encryption