NoSQL Database Comparison: Cloud Database Solutions

Compare cloud database offerings from top NoSQL competitors

Benchmark Report TCO whitepaper

NoSQL cloud database – competitive feature evaluation

 

There are various flavors of NoSQL databases – that is, databases that require no SQL to index and query information – and their differences are critical when you’re choosing a NoSQL database for deployment in the cloud. Use the chart below to compare today’s top “No SQL” databases in the cloud. You’ll find out how Couchbase’s award-winning Database-as-a-Service (DBaaS) stacks up against MongoDB™ Atlas and DynamoDB – the other top DBaaS document store offerings on the market. In this NoSQL database comparison, you’ll see the difference between MongoDB and Couchbase, and why there’s no equal to the Couchbase Cloud database for features such as ease of migration, multicloud deployment, and price/performance.

Comparing NoSQL Cloud Solutions



NoSQL Features

Couchbase Cloud

MongoDB Atlas

DynamoDB

Performance at scale
Full querying capabilities
Offline offer
Cross datacenter replication (XDCR) ​​​​​
Key-value document database
Open interfaces
SQL-like querying
JOIN support
JSON
Multi mode
Full-Text Search
Eventing with JavaScript

Performance

Couchbase Cloud

MongoDB Atlas

DynamoDB

Memory-first design
Analytics-specific service
Adaptive indexes
Multidimensional Scaling (MDS)
Flex Index
Index Advice function

Security

Couchbase Cloud

MongoDB Atlas

DynamoDB

Data isolation
Node-to-node encryption
Role-based access control (RBAC)

Cloud Infrastructure

Couchbase Cloud

MongoDB Atlas

DynamoDB

Customer purchased infrastructure
Customer data control
Vendor managed
Multicloud Support
On-prem to cloud replication
IaaS Cost Transparency
Scalability
Backup
Sharding
Monitoring
Patching and upgrades
Versioning

Price/Performance Ratio

Couchbase Cloud

MongoDB Atlas

DynamoDB

Low TCO
Node-for-node performance
Customer-chosen cluster instances

“No SQL” database comparison