Head-to-head · NoSQL Databases
Amazon DynamoDB vs Couchbase Server
Amazon DynamoDB leads on 0 checks, Couchbase Server on 0, and 1 is even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreAmazon DynamoDB · 9.3/10
- Free planboth
Amazon DynamoDB scores higher on our rubric for nosql databases: 9.3 against 9.2 out of 10; our editors rank them #1 and #2.
Amazon DynamoDB is the better fit for AWS teams building scalable key-value applications. Couchbase Server is the better fit for teams needing a versatile document database.
- Amazon DynamoDB fits best
AWS teams building scalable key-value applications
- Couchbase Server fits best
Teams needing a versatile document database
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Side by side
| Feature | Amazon DynamoDB 9.3/10 Visit ↗ | Couchbase Server 9.2/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.3 | 9.2 |
| Ranking | #1 in NoSQL Databases | #2 in NoSQL Databases |
| Best for | AWS teams building scalable key-value applications | Teams needing a versatile document database |
| Pricing model | Free plan + paid | Free plan + paid |
| Starting price | — | — |
| Free plan | ✓ | ✓ |
| Free trial | — | — |
| Deployment | Cloud | Cloud, Self-hosted |
| Support | Docs | Community, Docs |
| Compliance | SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS | SOC 2, HIPAA, PCI DSS |
| Built for | Small business, Mid-market, Enterprise | Mid-market, Enterprise |
| Features Amazon DynamoDB 0/2 · Couchbase Server 0/2 | ||
| Horizontal scaling | Not checked yet | Not checked yet |
| Replication | Not checked yet | Not checked yet |
| Specs | ||
| Data model | Not checked yet | Not checked yet |
| Deployment options | Not checked yet | Not checked yet |
| Max storage | Not checked yet | Not checked yet |
| Query interface | Not checked yet | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Amazon DynamoDB is a fully managed, serverless NoSQL database for applications that need low-latency access at scale. It stores items in tables organized by primary keys, with on-demand and provisioned capacity options. Its feature set… Read the review → |
Couchbase Server is a distributed NoSQL database for business applications that need document storage alongside transactional and data-access capabilities. It suits teams looking for JSON and binary document storage, key-value access, and… Read the review → |
Strengths and trade-offs
Amazon DynamoDB — where it wins
- Choose on-demand or provisioned read and write capacity.
- ACID transactions, TTL expiration and multi-Region global tables.
- Streams, PartiQL and vector search indexes support varied workloads.
Where it doesn't
- Cloud deployment ties the database to AWS.
- Usage-based paid pricing varies by Region, capacity mode and optional features.
- Support channels listed are documentation.
Couchbase Server — where it wins
- Stores JSON and binary documents with key-value access and SQL++ querying
- Combines distributed ACID transactions with search, analytics, and eventing
- Offers cloud and self-hosted deployment, plus a free Community Edition
Where it doesn't
- Community Edition is limited to departmental-scale clusters of up to five nodes
- Vector indexing is unavailable in Community Edition
- Enterprise Edition subscription pricing is not publicly listed
- Amazon DynamoDB9.3/10 · Free plan
A managed AWS database with flexible capacity, transactions and multi-Region tables.
Try Amazon DynamoDBFull verdict → - Couchbase Server9.2/10 · Free plan
A flexible document database with SQL++ queries, transactions, search, and multiple deployment options.
Visit CouchbaseFull verdict →
More comparisons
- Amazon DynamoDB vs Neo4j
- Amazon DynamoDB vs Azure Cosmos DB for NoSQL
- Amazon DynamoDB vs Amazon DocumentDB
- Amazon DynamoDB vs Apache Cassandra
- Amazon DynamoDB vs Azure DocumentDB
- Couchbase Server vs Neo4j
- Couchbase Server vs Amazon DocumentDB
- Couchbase Server vs Apache Cassandra
All NoSQL databases comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update






