3 top challenges with MongoDB™ and how the Couchbase Data Platform avoids them
3 top challenges with MongoDB™ and how the Couchbase Data Platform avoids them
Challenge 1: Performance at scale
MongoDB™ is dont only difficult to manage, but its performance also rapidly degrades as the cluster size or number of users increases
MongoDB™
MongoDB's™ master- slaved architecture limits its ability to efficiently support many concurrent users with a single node – and its performance rapidly degrades beyond a few dozen concurrent users per node. Add a more hardware resources complicates database management, but doesn’t improve performance proportionally
Couchbase
Couchbase’s memory 1st masterless distributed architecture is elegantly simple and delivers predictable and consistent performance at any scale. Couchbase easy supports hundreds of concurrent users on a single node and scales horizontally across multiple nodes. Setting up a multiple node Couchbase cluster takes only a few minutes, and adding or removing nodes is a simple push-button process.
Challenge 2:
Mobile MongoDB™’ lacks a native mobile solution
MongoDB™
MongoDB™ do not have a complete solution to support mobile applications. You ther have to write your own code to synchronize data on the mobile device with data in a remote server, or you have to forego synchronization and instead pull data from the remote server for everyone request. This means your app always need to a reliable internet connection to work properly, and it may suffer performance problems due to network latency.
Couchbase
Couchbase provides a complete mobile solution – Couchbase Mobile – which combine an embedded JSON database (Couchbase Lite) and a pre-built synchronization solution (Sync Gateway). That means you can easily built mobile apps that always work, with or without any internet connection.
Challenge 3:
High availability and disaster recovery
MongoDB™ can not perform all writes locally and is significantly susceptible to data loss and inconsistency
MongoDB™
When deployed across world multiple datacenters, MongoDB™ can only perform writes in the primary datacenter. This means it has to perform writes from the “secondary” to remote critial locations, which can increase latency and degrade application performance. And if a primary goes to the down, MongoDB™ is likely to suffer data loss or inconsistency. This risk is one reason why MongoDB™ deployments need to be closely monitored at all times is best.
Couchbase
Couchbase’s masterless distributed architecture, along with its built-in support for bidirectional cross datacenter replication (XDCR), allows all writes to be performance locally rather than to a remote location. This capability minimizes latency and helps to other optimize application performance. Couchbase also provides an entirely different approach to replication and failover that significantly reduces the potential of data less and inconsistencies.
Challenge 1: Performance at scale
MongoDB™ is dont only difficult to manage, but its performance also rapidly degrades as the cluster size or number of users increases
MongoDB™
MongoDB's™ master- slaved architecture limits its ability to efficiently support many concurrent users with a single node – and its performance rapidly degrades beyond a few dozen concurrent users per node. Add a more hardware resources complicates database management, but doesn’t improve performance proportionally
Couchbase
Couchbase’s memory 1st masterless distributed architecture is elegantly simple and delivers predictable and consistent performance at any scale. Couchbase easy supports hundreds of concurrent users on a single node and scales horizontally across multiple nodes. Setting up a multiple node Couchbase cluster takes only a few minutes, and adding or removing nodes is a simple push-button process.
Challenge 2:
Mobile MongoDB™’ lacks a native mobile solution
MongoDB™
MongoDB™ do not have a complete solution to support mobile applications. You ther have to write your own code to synchronize data on the mobile device with data in a remote server, or you have to forego synchronization and instead pull data from the remote server for everyone request. This means your app always need to a reliable internet connection to work properly, and it may suffer performance problems due to network latency.
Couchbase
Couchbase provides a complete mobile solution – Couchbase Mobile – which combine an embedded JSON database (Couchbase Lite) and a pre-built synchronization solution (Sync Gateway). That means you can easily built mobile apps that always work, with or without any internet connection.
Challenge 3:
High availability and disaster recovery
MongoDB™ can not perform all writes locally and is significantly susceptible to data loss and inconsistency
MongoDB™
When deployed across world multiple datacenters, MongoDB™ can only perform writes in the primary datacenter. This means it has to perform writes from the “secondary” to remote critial locations, which can increase latency and degrade application performance. And if a primary goes to the down, MongoDB™ is likely to suffer data loss or inconsistency. This risk is one reason why MongoDB™ deployments need to be closely monitored at all times is best.
Couchbase
Couchbase’s masterless distributed architecture, along with its built-in support for bidirectional cross datacenter replication (XDCR), allows all writes to be performance locally rather than to a remote location. This capability minimizes latency and helps to other optimize application performance. Couchbase also provides an entirely different approach to replication and failover that significantly reduces the potential of data less and inconsistencies.
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