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MongoDB is an open source database which uses a document-oriented database which provides a high performance and automatic scaling. MongoDB supports different data formats and has a flexible architecture. MongoDB is a leading NoSQL database, MongoDB is written in C++.

What is MongoDB?


MongoDB is a document based database. Each database contains an indexed database furthermore divided into collections with individual characteristics such as size and data etc. Our MongoDB development service is varied as we have implemented this technology in many products across multiple sectors. The document structure is more in line with how developers construct their classes and objects in their respective programming languages. Developers will often say that their classes are not rows and columns but have a clear structure with key-value pairs. As seen in the introduction with NoSQL databases, the rows don't need to have a schema defined beforehand. Instead, the fields can be created on the fly.The data model of MongoDB allows you to represent rigidly structured data relationships, to store and expand data arrays, and other more complex structures more easily. Our MongoDB consulting services make sure that you have all the advantages of MongoDB.

Key Features


The MongoDB environments are very scalable. Companies across the world have well-defined data clusters with some of them running on multiple nodes with around millions of documents within the database.

Data - Document oriented

MongoDB is a NoSQL type database, instead of the traditional format of relational type. It stores the data in documents, which makes MongoDB very flexible and adaptable to real time situations and requirements.


MongoDB was built to work with existing hardware and existing cloud architectures. Data is localised for queries to ensure optimum performance and predictable outcomes, regardless of the deployment size.

Practical Agility

MongoDB’s native map and aggregation framework provide data in real-time for applications. Going beyond the traditional capacity of analytics technologies like Hadoop and BI tools.

Capacity optimising

MongoDB uses the concept of sharing to scale horizontally by splitting data across multiple MongoDB executions. MongoDB can run on multiple servers, optimising the load and/or duplicating the data to keep the system up and running in case of hardware failure no matter the load, fluctuations in the load.

Dynamic Schemas

MongoDB’s dynamic schema provides a simple way to incorporate any changes if the application requires any change. These changes can be made on the fly to the database without affecting existing data or application code and without incurring downtime.

Clean Scalability

MongoDB can be scaled across multiple server clusters. As data size grows, organisations can simply add more nodes to their existing clusters.

Upscale Querying

MongoDB supports a full query language and primary and secondary indexing.

Ad hoc queries

MongoDB supports multiple search parameters such as by field, regular expression and range queries searches. Queries can be made to return specific fields within the existing documents.


Indexes can be created within the database to improve the performance of searches within MongoDB. All the fields in a MongoDB document can be indexed.

Duplication and Replication

MongoDB can provide high availability with replica sets. The Secondary replicas maintain a copy of the data of the primary using built-in replication.The primary replica is the main server which interacts with the client and performs all the read/write operations. If a primary replica fails, the replica set automatically switches over to the secondary and then it becomes the primary server.

You Get

  • Scalability
  • No Schema, multiple
  • Search indexes can be built
  • Multiple language support
  • Faster data access due to internal memory storage

Where to Use MongoDB?

Our MongoDB consulting services makes sure that MongoDB is tailormade for you specific need,
below are the some of sectors where MongoDB is used for its advantages.

Big Data

Where massive amount data needs to stored, sorted and executed to come to business conclusions.

Content Management and Delivery

Video streaming sites which hold and playback massive amounts of content on a daily basis., regardless of the traffic to the website.

Data Hub

Social networking sites generate huge amounts of data which needs to saved and retrieved over a long amount of time. MongoDB provides much needed good speed of data access.

Dynamic 24/7

sites which manage huge amounts of dynamic data uses MongoDB for their scalability and faster data access capabilities.

Why work with us?

Partnering Approach

We work in a partnering approach with clients, and we love to see the project not as a job to be done, but as a cause we will invest in.

Best Coding Practices

We believe in bringing the best practices in software implementation with a consulting approach to the process.

Robust implementation methodology

Our robust implementation methodology ensures best value for money and faster ROI.

Experienced & Dedicated Developer

76DE’s team of highly experienced MEAN developers and consultants certified in APICS, PMP, Six Sigma brings true value to customer and helps realize their higher return on investments through a consultative implementation approach.

Proven Expertise

Successfully completed 5+ US Federal Projects, 10+ US State Government projects and over 30+ web, mobile and online marketing projects.

MongoDB Development Services

Our MongoDB development services makes use of best coding practises when working with MongoDB. The distinctive differences are that while MySQL is coded using SQL queries, and MongoDB is focused on BSON (Binary JSON). MongoDB is a database which came into light around the mid-2000s. It falls under the category of a NoSQL database. MongoDB outshines the traditional RDBMSes with exceptional mirroring and auto-scaling options, allowing the database to grow as the needs and the changes in data over time. Our MongoDB development company makes all the differences when it comes to database for your product.

Companies that use MongoDB

MongoDB is preferred by industry giants and up and coming players due to its versatility, MongoDB can be found in many fortune 500 companies across healthcare, retail, government and telecommunication sectors. Here are some examples of concerns using MongoDB.

  • The city of Chicago, UK prime minister’s office, US veteran affairs, US National Archives and UK revenue and customs website are the government websites created with MongoDB.
  • Facebook, E-harmony and Foursquare are the social sites using MongoDB.
  • The Guardian, The New York Times and Forbes are the news sites which run on MongoDB.
  • Metlife, Barclays and INTUIT are the financial institutions who use MongoDB.
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