{"id":6487,"date":"2019-03-04T13:48:36","date_gmt":"2019-03-04T21:48:36","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=6487"},"modified":"2025-07-07T13:23:09","modified_gmt":"2025-07-07T20:23:09","slug":"couchbase-beats-mongodb-with-greater-flexibility-and-stronger-availability-for-geo-distributed-applications","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/couchbase-beats-mongodb-with-greater-flexibility-and-stronger-availability-for-geo-distributed-applications\/","title":{"rendered":"Couchbase beats MongoDB\u2122 with greater flexibility and stronger availability for geo-distributed applications"},"content":{"rendered":"

Today\u2019s businesses compete in a digital economy where downtime can be deadly. But keeping data highly available is never as simple as backing up one database to be an up-to-the-second copy of another. Instead, modern databases have to function in complex data environments that are spread across multiple geographies and accommodate a wide variety of data sources and modes of computing.<\/span><\/p>\n

Because these databases handle massive amounts of business-critical data, it has become essential that they meet demanding requirements for high availability, high performance, and disaster recovery. Support for flexible topologies is also crucial because complex topologies can offer a high degree of data availability and resource utilization that enterprise-scale deployments require. To achieve these goals and ensure business continuity, enterprises now deploy multi-master databases across diverse geographies. Replication has become key to their effectiveness.<\/span><\/p>\n

Let\u2019s take a peek at how MongoDB (an early and leading NoSQL player) has fallen short in addressing these fundamental concerns with their replication technology. Some of MongoDB\u2019s most prominent shortcomings are:<\/span><\/p>\n