Head-to-head · Key-Value Databases
Oracle NoSQL Database vs Amazon MemoryDB
Oracle NoSQL Database leads on 1 check, Amazon MemoryDB on 0, and 3 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 scoreOracle NoSQL Database · 8.8/10
- Free planonly Oracle NoSQL Database
Oracle NoSQL Database scores higher on our rubric for key-value databases: 8.8 against 8.7 out of 10; our editors rank them #5 and #6.
Oracle NoSQL Database offers free plan; Amazon MemoryDB doesn't. On deployment model, Oracle NoSQL Database gives you Hybrid where Amazon MemoryDB offers Cloud.
Oracle NoSQL Database is the better fit for low-cost distributed NoSQL with flexible deployment. Amazon MemoryDB is the better fit for durable managed Redis or Valkey workloads.
- Oracle NoSQL Database fits best
Low-cost distributed NoSQL with flexible deployment
- Amazon MemoryDB fits best
Durable managed Redis or Valkey workloads
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Side by side
| Feature | Oracle NoSQL Database 8.8/10 Visit ↗ | Amazon MemoryDB 8.7/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.8 | 8.7 |
| Ranking | #5 in Key-Value Databases | #6 in Key-Value Databases |
| Best for | Low-cost distributed NoSQL with flexible deployment | Durable managed Redis or Valkey workloads |
| Pricing model | Free plan + paid | Paid |
| Starting price | $0.0064/unit/mo | $0.20/GB usage-based |
| Free plan | ✓ (best) | — |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Cloud |
| Support | Community, Docs | Tickets, Community, Docs |
| Integrations | 4 integrations | 7 integrations |
| Built for | Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Oracle NoSQL Database 3/3 · Amazon MemoryDB 3/3 | ||
| TTL support | ✓ | ✓ |
| Clustering support | ✓ | ✓ |
| Multi-region support | ✓ | ✓ |
| Specs | ||
| Deployment model | Hybrid | Cloud |
| Maximum value size | Not checked yet | Not checked yet |
| Persistence modes | Not checked yet | Both |
| Supported protocols | Java driver, Python driver, Node.js driver, C driver, C# driver, REST API | Valkey Cluster protocol; Redis OSS Cluster protocol; HTTPS |
| Our review | ||
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| Our verdict | Oracle NoSQL Database is a distributed, non-relational database for applications that need low-latency access to high-volume data. It supports key-value, JSON document, and fixed-schema table models, giving teams more structural… Read the review → |
Amazon MemoryDB is a fully managed, durable in-memory key-value database for applications that need low-latency reads, fast writes, high throughput, and data durability. It is compatible with Valkey and Redis OSS data structures, commands,… Read the review → |
Strengths and trade-offs
Oracle NoSQL Database — where it wins
- Supports key-value, JSON document, and fixed-schema data models
- Offers ACID transactions, configurable consistency, and durability
- Combines multi-region replication with cloud and self-hosted deployment
Where it doesn't
- Always Free capacity depends on Oracle Cloud region availability
- Usage-based billing varies with reads, writes, storage, or provisioned capacity
- Self-hosted deployments require customer-managed infrastructure
Amazon MemoryDB — where it wins
- Multi-AZ transactional-log durability with automatic failover
- JSON documents, vector search, and active-active multi-Region replication
- TLS, AWS KMS encryption, ACLs, and IAM-based access controls
Where it doesn't
- No free plan; MemoryDB is paid-only
- On-demand charges vary by node type and usage
- Multi-Region deployments do not support TTL
- Oracle NoSQL Database8.8/10 · Free plan
Flexible distributed NoSQL with low usage pricing and hybrid deployment.
Visit OracleFull verdict → - Amazon MemoryDB8.7/10 · Paid
A durable Redis- and Valkey-compatible service for low-latency, scalable workloads.
Try Amazon MemoryDBFull verdict →
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- FoundationDB vs Oracle NoSQL Database
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All Key-Value databases comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update




