Head-to-head · Key-Value Databases
Amazon DynamoDB vs Valkey
Amazon DynamoDB leads on 0 checks, Valkey on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreAmazon DynamoDB · 9.3/10
- Free planonly Amazon DynamoDB
Amazon DynamoDB scores higher on our rubric for key-value databases: 9.3 against 8.5 out of 10; our editors rank them #1 and #8.
On deployment model, Valkey gives you Self_hosted where Amazon DynamoDB offers Cloud. On persistence modes, Valkey gives you Both where Amazon DynamoDB offers Disk.
Amazon DynamoDB is the better fit for managed, scalable AWS key-value workloads. Valkey is the better fit for self-hosted Redis-compatible in-memory storage.
- Amazon DynamoDB fits best
Managed, scalable AWS key-value workloads
- Valkey fits best
Self-hosted Redis-compatible in-memory storage
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Side by side
| Feature | Amazon DynamoDB 9.3/10 Visit ↗ | Valkey 8.5/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.3 | 8.5 |
| Ranking | #1 in Key-Value Databases | #8 in Key-Value Databases |
| Best for | Managed, scalable AWS key-value workloads | Self-hosted Redis-compatible in-memory storage |
| Pricing model | Free plan + paid | Free |
| Starting price | — | Open source |
| Free plan | ✓ (best) | Not checked yet |
| Free trial | — | — |
| Deployment | Cloud | Self-hosted |
| Platforms | Web, Windows, macOS, Linux, iOS, Android | Linux, macOS |
| Support | Docs | Community, Docs |
| Built for | Small business, Mid-market, Enterprise | Solo, Small business, Mid-market, Enterprise |
| Features Amazon DynamoDB 2/3 · Valkey 2/3 | ||
| TTL support | ✓ | ✓ |
| Clustering support | Not checked yet | ✓ (best) |
| Multi-region support | ✓ (best) | Not checked yet |
| Specs | ||
| Deployment model | Cloud | Self_hosted |
| Maximum value size | 0.4 MB | Not checked yet |
| Persistence modes | Disk | Both |
| Supported protocols | HTTP(S), JSON, PartiQL | RESP, TCP, Unix sockets |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Amazon DynamoDB is a serverless, fully managed NoSQL database for applications built around key-value or document data models. It is intended for operational workloads such as user profiles, shopping carts, session stores, gaming data, and… Read the review → |
Valkey is an open-source, BSD-licensed in-memory data structure store for databases, caching, message queues, and streaming workloads. It is designed for developers and infrastructure teams that want self-hosted Redis-compatible storage… Read the review → |
Strengths and trade-offs
Amazon DynamoDB — where it wins
- Supports key-value and document data models with automatic scaling
- Offers multi-Region global tables, transactions, recovery, and backups
- Connects with Lambda, S3, Kinesis Data Streams, Athena, and SageMaker
Where it doesn't
- Usage-based billing may be less predictable than fixed paid plans
- Cloud deployment and AWS service integration may limit portability
- Items have a documented maximum size of 400 KB
Valkey — where it wins
- Rich data structures, including streams and geospatial indexes
- Persistence, replication, failover, clustering, and TTL support
- Open source, BSD-licensed, and available with a free plan
Where it doesn't
- Self-hosted deployment leaves operations to developers and infrastructure teams
- Primarily developed and tested on Linux and macOS
- Managed offerings come from separate ecosystem participants
- Amazon DynamoDB9.3/10 · Free plan
A mature AWS database for scalable key-value and document workloads.
Try Amazon DynamoDBFull verdict → - Valkey8.5/10 · Open source
A capable self-hosted Redis-compatible store for caching, queues, and streaming.
Visit ValkeyFull verdict →
More comparisons
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- Amazon DynamoDB vs Oracle NoSQL Database
- Amazon DynamoDB vs Amazon MemoryDB
- Amazon DynamoDB vs etcd
- Aerospike Database vs Valkey
- Google Cloud Bigtable vs Valkey
All Key-Value databases comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update






