MongoDB is a document database that provides high performance, high availability, and easy scalability. MongoDB is a database from the company of the same name, formerly known as 10gen. It’s a schemaless database, meaning that you aren’t required to define tables or fields up front like you would a traditional RDBMS. Instead of tables,

MongoDB uses the term collections. Like an RDBMS, it offers many options for indexing, such as geospatial, full text, and unique fields within a collection. It also offers a very flexible query model, but without JOIN’s like a RDBMS.

MongoDB has a schemaless data model, allowing for widely flexible through heterogeneous documents. A single collection can store a hundred thousand documents and all of them could have a different structure. Whether this benefits you will be determined by your application’s needs.

MongoDB Benefits:

  • High Performance: Embedding makes reads and writes fast. Indexes can include keys from embedded documents and arrays.
  • High Availability: Replicated servers with automatic master failover provide high availability.
  • Easy Scalability: Automatic sharding distributes collection data across machines. Eventually-consistent reads can be distributed over replicated servers.
  • Ad hoc queries: MongoDB supports search by field, range queries, regular expression searches. Queries can return specific fields of documents and also include user-defined JavaScript functions.
  • Indexing: Any field in a MongoDB document can be indexed (indices in MongoDB are conceptually similar to those in RDBMS). Secondary indices are also available.
  • Replication: MongoDB supports master-slave replication. A master can perform reads and writes. A slave copies data from the master and can only be used for reads or backup (not writes). The slaves have the ability to select a new master if the current one goes down.
  • Load balancing: MongoDB scales horizontally using sharding. The developer chooses a shard key, which determines how the data in a collection will be distributed. The data is split into ranges (based on the shard key) and distributed across multiple shards. (A shard is a master with one or more slaves.) MongoDB can run over multiple servers, balancing the load and/or duplicating data to keep the system up and running in case of hardware failure. Automatic configuration is easy to deploy, and new machines can be added to a running database.
  • File storage: MongoDB could be used as a file system, taking advantage of load balancing and data replication features over multiple machines for storing files.
  • Aggregation:MapReduce can be used for batch processing of data and aggregation operations. The aggregation framework enables users to obtain the kind of results for which the SQL GROUP BY clause is used. Server-side JavaScript execution, JavaScript can be used in queries, aggregation functions (such as MapReduce), are sent directly to the database to be executed.

Eworks has extensive experience to implement various MongoDB services across multiple industries. We have highly expert team available at our end to deliever MongoDB services for your organization.

Eworks offers following services at our end to the various organizations:

  • MongoDB Database Administration
  • MongoDB Database installation, configuration and Up-gradation
  • Writing Ad hoc queries
  • Setup master-slave architecture
  • MongoDB Database backup and recovery
  • MongoDB Load balancing
  • File Storage
  • Setup master-slave replication
  • Database performance tuning using indexing
  • Database scaling
  • Database support and maintenance
  • Periodically database checkup
  • Remote administration
  • Job creation and scheduling
  • Setup solution for disaster recovery
  • Setup database security
  • MongoDB database deployment
  • Datacenter setup
  • Providing real time monitoring
  • MongoDB integration