MongoDB

MongoDB can be opted as a preferred Database Management Tool (DBMT), for the flexibility and advantages it offers. Inovies can be perfect partner to pair up with MongoDB. MongoDB is customizable to design the features of database management as desired, Inovies beautifies it using our extensive experience. MongoDB is apt to design uses cases for:

• Operational Intelligence
• Product Data Management
• Content Management Systems
• Big Data Analytics
• High Traffic Apps
• Social Networks
• Document Oriented Systems
• Graph Storage Scenarios

Whilst the advantages of using MongoDb are evident, opting to migrate to a noSQL technology could be quite a challenge. To handle huge volumes of data, data migration needs expertise in custom systems integration.

For successful Data integration projects, pairing up with the right organization is crucial. Inovies works in close coordination with clients for all their needs like architect, data integration and develop huge data management systems (DBS) using MongoDB.

There are many reasons of using MongoDB as your primary database management tool and there are more reasons to hire Inovies 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

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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.