Databases
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From Relational Databases to all types of NoSQL databases, IOTASCALE has you covered for any
MongoDB is an open-source document database and leading NoSQL database written in C++.
MongoDB supports various forms of data. It is one of the many nonrelational database technologies that arose in the mid-2000s under the NoSQL banner for use in big data applications and other processing jobs involving data that doesn't fit well in a rigid relational model.
MongoDB features:
- Like other NoSQL databases, MongoDB doesn't require predefined schemas. It stores any type of data. This gives users the flexibility to create any number of fields in a document, making it easier to scale MongoDB databases compared to relational databases.
- A core function of MongoDB is its horizontal scalability, which makes it a useful database for companies running big data applications. In addition, sharding allows the database to distribute data across a cluster of machines. Newer versions of MongoDB also support the creation of zones of data based on a shard key.
- The DBMS also has built-in aggregation capabilities, which allow users to run MapReduce code directly on the database, rather than running MapReduce on Hadoop. MongoDB also includes its own file system called GridFS, akin to the Hadoop Distributed File System (HDFS).
- The DBMS also has built-in aggregation capabilities, which allow users to run MapReduce code directly on the database, rather than running MapReduce on Hadoop. MongoDB also includes its own file system called GridFS, akin to the Hadoop Distributed File System (HDFS).
MongoDB is one of the most widely used NoSQL databases on the modern web. It is easy to understand. The document query language provides a lot of options and it is as powerful as the SQL.