If organizations are required to grow big data and shard your data they should prefer mongoDb. Management of big database with mongoDb is easy and fast.

1. MongoDB: The Database For Today's Applications
MongoDB is an open source, document-oriented database. It focuses on power, flexibility,
speed, ease of use, performance, and, etc. Further, it has new releases and updates frequently adding
new functionalities. The deployment of mongodb database management facilitate easy
development, non-relational database solutions for horizontal scaling of the data layer, storage of
more data, and, etc.
A few of the key features of Mongodb are as follows.
 It stores data in JSON documents, which provides a rich data model. It is easy to evolve the
data with the dynamic schema and seamless mapping to native programming language and
further maps to native programming language.
 It stores data in files, and uses memory mapped files to increase the efficiency of data
management.
 Having a cloud manager backup for MongoDB services, provides smooth integration with
monitoring. It enables to find inefficiencies in the web application interaction with the
database.
 It provides almost all the functionality of a traditional relational database management
system(RDBMS), namely dynamic queries, secondary indexes, sorting, upserts, rich
updates, aggregation but positively augmented with flexibility and scalability capacity of a
non-relational model.
 The autosharding allows to scale the clusters linearly. When there is a sudden increase in the
load, it manages without downtime sparing extended maintenance or cost.
 It works right out of the box with automatic configuration options.
One can indeed get in touch with database specialist of MongoDB if he faces any of the
following challenges.
 High writing load expectation.
 Load tons of data lines with a low business value for each one.
 High availability for cloud or real life environment.
 Set easy and fast replica set. Instant, safe and automatic recovery from a node failure.
 Grow big, need partition, stable schema and shard the database.
 Find fast and accurate location based data (owing to its spacial functions).
 When table size is larger than 1 GB, adding new columns to relational data base
management system may lock some of the or entire database. It may even lead to load and
performance degradation. Whereas in Mongodb, adding of a new field is instant and does
not affect the rows.
 In Mongodb, classes get serialized to JSON, and stored as it is.
 High performance: In Mongodb, reads and writes are faster. Indexes include keys from the
embedded documents and arrays.
 Configuration for data replication.
 Mongodb runs on linux, windows or OS X.
However, one has to implement certain controls and ensure that the users and the applications
has access to the required data alone through maintaining a secure mongodb deployment.

2. A few of the checklist regarding security are
 No client must access to mongodb unless and until has the authentication to do so. The
authentication mechanism include a password-based challenge, response protocol and x.509
certificates.
 Clients must be able to perform the required applications alone.
 Regular audition of the implemented security services.
 Encryption at transport, rest, application or storage level.
 Place control to reduce the exposure of entire mongodb systems.
Thus, one can benefit from mongodb usage by proper and managed deployment.
For more information:
Visit us : http://www.mongodbindia.com
Call us : +91 – 7533006630
Email us : sales@mongodbindia.com
Address: 321, Tower B4, Spaze iTech park, Sector-49, Sohna Road
Gurgaon, Haryana 122018