Amazon DynamoDB vs Redis Enterprise

Storage model and durability

DynamoDB stores data durably on SSD-backed storage replicated across multiple Availability Zones, so it functions as a primary store for high-scale NoSQL workloads without a separate durability strategy. Reads can be eventually or strongly consistent, and global tables add multi-region replication.

Redis Enterprise holds the working dataset in memory, which is the source of its speed but also means durability is a configured property through RDB snapshots, append-only files, replication, and Active-Active. Teams that need a guaranteed durable system of record either configure Redis persistence carefully or, more commonly, pair Redis with a durable backing store.

Performance characteristics

Redis Enterprise delivers sub-millisecond latency and extremely high per-node throughput because it operates in memory, making it the standard for caching, rate limiting, leaderboards, queues, and real-time feature serving. Its modules add search, JSON, and time-series capabilities in the same platform.

DynamoDB delivers consistent single-digit-millisecond latency at effectively unbounded scale through automatic partitioning, with DynamoDB Accelerator (DAX) available as an in-memory cache to reach microsecond reads. For most key-based access at very large scale, DynamoDB is fast and predictable, though not as fast as native in-memory Redis for the hottest data.

Pricing model

DynamoDB charges per request (on-demand) or per provisioned capacity unit, plus storage and any global secondary index throughput. On-demand costs nothing when idle and was reduced about 50 percent in late 2024; Database Savings Plans arrived in 2025 for committed discounts. Index proliferation is the main cost driver. Pricing verified June 2026.

Redis Enterprise is licensed per shard for self-managed deployments or billed by memory and throughput on Redis Cloud through Redis Billing Units. Cost scales with the amount of data held in memory, so large datasets can be more expensive than DynamoDB's disk-based storage. Enterprise rates are quote-based. Self-hosting teams should account for the 2024 RSALv2/SSPLv1 license change.

Operations and architectural fit

DynamoDB is fully serverless with no nodes to manage, making it low-operations for teams that want scale without infrastructure. Redis Enterprise, whether self-managed or on Redis Cloud, involves sizing memory, shards, and replication, though the managed cloud reduces this. Architecturally the two often coexist: DynamoDB or another durable store holds the data, and Redis Enterprise provides a sub-millisecond cache or real-time layer. Choosing between them as the sole store comes down to whether durability at scale or in-memory latency is the dominant requirement.

What buyers say

Buyers frequently note that DynamoDB scales without operational effort and that its serverless model and zero idle cost on-demand suit unpredictable, high-traffic workloads. The recurring DynamoDB criticism is that global secondary indexes raise cost and that rigid key design makes evolving access patterns painful. Redis Enterprise buyers frequently praise sub-millisecond latency and the breadth of its data structures and modules, which let one platform serve caching, queues, search, and real-time features. The common Redis complaint is memory-driven cost at scale and the configuration needed to meet durability targets, plus uncertainty after the 2024 license changes. Many architects describe a layered pattern rather than a binary choice, using DynamoDB for durable scale and Redis Enterprise as the speed layer, with the decision hinging on whether the workload's priority is durability or latency.

When to choose Amazon DynamoDB

Choose Amazon DynamoDB when you need a durable, serverless NoSQL store that scales to very high throughput with predictable single-digit-millisecond latency and minimal operations. It fits IoT, event ingestion, user profiles, shopping carts, and serverless backends with known key-based access patterns. Add DynamoDB Accelerator if you need microsecond reads. Confirm your access patterns fit partition-key design, and watch global secondary index usage, which is the main driver of unexpected cost.

When to choose Redis Enterprise

Choose Redis Enterprise when sub-millisecond latency, high throughput, and versatile data structures are the priority: caching, session storage, rate limiting, leaderboards, queues, and real-time analytics, including multi-region Active-Active. It is most effective as a speed layer over a durable store rather than the sole system of record, unless you configure persistence to meet your durability targets. Plan for memory-based cost growth and review current Redis licensing if you intend to self-host.

Alternatives to both