Inovies can help with anything companies need related to MongoDB. Everything from the application code, prototype, design, and development, all the way to deployment of the application within your architecture. Specifically our team can help clients with application design, schema design, deployment architecture, enterprise scaling, query optimization, bench-marking and much more.
Enabling MongoDB to work for your organization's needs is what we do, from strategy and development to integration and optimization, to get the information output you want.
MongoDB is a fast pace emerging open source technology having noSQL. MongoDB refrains the usage of legacy databases which makes data integration effective and easier to use.
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.
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.
Any field in a MongoDB document can be indexed (indices in MongoDB are conceptually similar to those in RDBMSes). Secondary indices are also available.
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.
MongoDB scales horizontally using Sharding. The developer chooses a shard key, which determines how the data in a collection will be distributed.
MongoDB could be used as a file system, taking advantage of load balancing and data replication features over multiple machines for storing files.
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.
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