NoSQL cloud database – competitive feature evaluation
You have a variety of NoSQL databases to choose from – and understanding the differences between them is critical when you’re planning to deploy a NoSQL database in the cloud. Use the chart below to compare today’s top NoSQL databases in the cloud. You’ll find out how Couchbase’s award-winning Database-as-a-Service (DBaaS), Couchbase Capella™, stacks up against MongoDB™ Atlas and DynamoDB – the other well-known DBaaS document store offerings. You’ll see why there’s no equal to Capella for ease of getting started, multicloud deployment, and price/performance – particularly as your applications’ needs grow.
Comparing NoSQL cloud solutions
NoSQL features
Couchbase’s multi-model capabilities built into a single database platform allow customers to do more with less and save both time and money. Couchbase combines the performance of a caching layer to serve up data faster, a flexible document datastore to make rapid evolution of applications easier, and the durability and reliability you need for a system of record. This eliminates the need to manage independent technologies and data models, providing consistency across applications.
NoSQL Features | Couchbase Capella | MongoDB Atlas | DynamoDB |
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Performance at scale |
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Full querying capabilities |
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Offline capabilities |
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Geo-replication |
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Key-value document database |
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Open interfaces |
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SQL-like querying |
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JOIN support |
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JSON |
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Multi-model |
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Full-text search |
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Eventing with JavaScript |
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Performance
Customers choose Couchbase for our tremendous speed at high scale. Our customers rely on Couchbase for tens of millions of operations per second and response times measured in single-digit microseconds. The Couchbase architecture automatically creates copies of data across multiple nodes to remove the risk of data loss or interruptions. Our mix of high performance and massive scale enables customers to use the Couchbase platform for mission-critical applications they’ve never entrusted to others.
Performance | Couchbase Capella | MongoDB Atlas | DynamoDB |
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Memory-first design |
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Analytics-specific service |
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Adaptive indexes |
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Multi-Dimensional Scaling (MDS) |
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