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.
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.
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.
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.
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.
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.
MongoDB can be scaled across multiple server clusters. As data size grows, organisations can simply add more nodes to their existing clusters.
MongoDB supports a full query language and primary and secondary indexing.
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.
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.
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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.
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.
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