MongoDB Development

MongoDB is one of the most popular database system at present times and it’s gaining more and more popularity due to its superior capabilities. Due to having more features and flexibility than traditional databases, MongoDB is highly preferred by developers. It saves the data as BSON (Binary JSON) which provides you to gain better access and efficient serialization of the data. Also, being an open source program allows business owners to save some funds over their project requirements.

Xtreem Solution is a leading provider of MongoDB development services. We have been working with this database for many years and have helped dozens of clients to enhance their database management. Using the powerful features of this NoSQL database and programming languages like C#/VB.Net, Java, Python, Ruby etc, we create solutions that make difference.

There are many reasons of using MongoDB as your primary database management tool and there are more reasons to hire Xtreem Solution as your MongoDB development partner. While MongoDB offers you the features you desire in your database management, we enhance those features with our abilities and experience.

• Ad hoc queries:

  The first impression of a website makes the difference, and thus we give strong emphasis on providing your new design greater level of interactivity and appeal.

• SEO Friendly Design:

  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 RDBMSes). 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.

• Load balancing:

  MongoDB scales horizontally using Sharding. The developer chooses a shard key, which determines how the data in a collection will be distributed.

• 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 framework enables to get results for which the SQL GROUP BY clause is used.