If you've ever struggled with rigid database schemas or clunky scaling issues, you're not alone. That’s where MongoDB comes in. As a flexible, high-performance NoSQL database, MongoDB has changed the way devel
MongoDB’s JSON document format provides a simple and intuitive way to represent hierarchical data structures that would otherwise require complicated joins via SQL queries. Availability. MongoDB’s distributed database features offer high availability, even with large, oft-changing data sets. Scalabilit...
What Are Some Distributed Database Examples? DB examples include distributed NoSQL database options like Cassandra, ScyllaDB, and MongoDB. But distributed SQL database options like Google Spanner, CrateDB, CockroachDB, Yugabyte, and Amazon Aurora promise strong consistency with a SQL API syntax that...
MongoDB is an open source, nonrelational database management system (DBMS) that uses flexible documents to process and store various forms of data.
Distributed databasesresolve various issues, such as availability, fault tolerance, throughput, latency, scalability, and many other problems that can arise from using a single machine and a single database. In this article, you'll learn what distributed databases are and their advantages and disadva...
theHadoop Distributed File System. The use of the file system is primarily for storing files larger than BSON's size limit of 16 MB per document. These similarities let MongoDB be used instead of Hadoop, though the database software does integrate with Hadoop,Sparkand other data processing ...
When you choose MongoDB as the foundation for DaaS, you should definitely use MongoDB Atlas, the Data as a Service platform. MongoDB Atlas is a multi-cloud, cross region platform built on top of MongoDB’s document database. Use Atlas to boost your productivity by letting the platform tak...
With MongoDB, replication is achieved through a replica set. Writer operations are sent to the primary server (node), which applies the operations across secondary servers, replicating the data. If the primary server fails (through a crash or system failure), one of the secondary servers takes...
Figure 1: MongoDB database, collection and document Given that a document-based data model can represent rich, hierarchical data structures, it’s often possible to model data without the complicated multi-table joins imposed by relational databases. For example, suppose you’re modelling products ...
DBaaS is also known as Database Platform as a Service (DBPaaS) or fully managed database. Its adoption is growing rapidly, with all major cloud platforms offering DBaaS solutions, including AWS RDS, Azure Database, and Google Cloud SQL. Specialized vendors like MongoDB's Atlas,...