High Performance With Distributed Caching Solutions: Choosing the Right One
Core caching features for developing high-performance applications that scale
|Develop with agility||Couchbase||Redis||Memcached||Oracle Coherence|
|JSON support Standard SQL has been extended for JSON-formatted data, query, and analytics to allow developers to use common database skills with Couchbase.|
|Sub-document access Developers can access data through a flexible data model that adjusts as needed. A new field can easily be added and then made available to queries.|
|Real-time analytics Use SQL++ with our multi-parallel processing analytics service for data-intensive aggregations.|
|Perform at any scale||Couchbase||Redis||Memcached||Oracle Coherence|
|Secondary indexing Turbocharge query execution by calling secondary indexes from our SQL++ query language.|
|Scalability Applications built on Couchbase deliver the same blazing performance in a multi-node production deployment as they do on a development laptop.|
|Multi-dimensional scaling for workload isolation Adding or removing nodes can be done in minutes with push-button simplicity, without any downtime or code changes.|
|Manage with ease||Couchbase||Redis||Memcached||Oracle Coherence|
|Cross data center replication (XDCR) Active-active cross data center replication (XDCR) capabilities support varying types of replication topologies.|
|Container/cloud native Couchbase Docker containers can be deployed, managed, upgraded, and configured by the Kubernetes-powered Autonomous Operator. Couchbase Cloud uses them too.|
|High-availability replication and failover Fault-tolerant Couchbase clusters use built-in cross data center replication (XDCR) to support high availability, disaster recovery, and geographically aware data sovereignty.|
Why enterprises choose Couchbase for their caching solutions
LinkedIn, the world’s largest online professional network, has 300M+ members and uses Couchbase for website reliability monitoring. They cache over 8M real-time metrics (12TB+ of data), loading 16M entries into Couchbase every 5 minutes. All in-memory storage in the LinkedIn data center is done by Couchbase.
Amadeus is the world’s largest processor of travel bookings, managing a 17TB dataset. Amadeus uses Couchbase clusters and cross data center replication to ensure continuous uptime and scale for 100% growth YOY. With Couchbase, Amadeus supports 15 million operations per second, with 2.5 ms response time and five nines of reliability.
Documentation & Tutorials
Compare Capella database services
Compare Couchbase Capella™ with other cloud Database-as-a-Service providers like MongoDB’s™ Atlas cloud service and Amazon’s DynamoDB database service. Find out why Couchbase Capella is the best solution for you.