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Why Do Remote DBA Experts Recommend MongoDB: An Insight

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Andrew Thompson
October 10, 2018

Andrew Thompson
Andrew Thompson has written 1 articles for JavaScriptSearch.
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MongoDB is known to be an open source database which is known for using the non-structured query language and document-oriented data models. MongoDB is regarded as a robust NoSQL system and a powerful database existing today. As it is primarily a NoSQL database, it would not be using the usual columns and rows associated with the typical relational database management. It is supposed to be an architecture which is actually built on documents and collections. Businesses are often quite impressed with MongoDB because it caters to their unique requirements and they are getting whatever they are looking for. Here’s exactly how.

  • MongoDB is known for providing the perfect blend of data and technology for getting a competitive advantage.
  • It is best for mission-crucial applications as it reduces risks substantially.
  • It helps in accelerating the time-to-value. Moreover, it helps in lowering the total expenses and cost associated with ownership.
  • It helps by building applications which are not exactly possible with the conventional relational databases.

MongoDB Database & Its Architecture

The Database: To put it simply, it may be referred to as the data’s physical container. Remember each and every database would be having its unique set of files with multiple databases that seem to exist on just one single MongoDB server.

The Collection: A collection is referred to a robust group of different database documents. The RDMS table is actually a MongoDB collection. Remember that the whole collection would exist within one single database. There are absolutely no schemas for collections. You must understand that inside the collection, diverse documents could be having verified fields. However, the documents present within a collection would be ending up serving the same goal.

The Document: A document could be containing a host of key-value pairs. Documents are related to dynamic schemas. The advantage of really having dynamic schemas would be that the documents constituting a single collection do not necessarily have the common field or structure. Moreover, common fields could be having diverse kinds of data in any collection’s document.

Availability & Consistency in Mongo DB

Traction Model: The MongoDB provides the ACID properties right at the document stage. In just one operation, you could write one or even more fields including multiple subdocuments and updates. The ACID properties related to MongoDB guarantees complete isolation whenever a document is being updated. The operation would be rolled back in case of any errors. As such, MongoDB users would be fortunate enough to receive just the consistent and perfect view of the concerned document.

Replica Sets: MongoDB would be using native application for maintaining multiple copies of corporate data. Averting database downtime is a feature of a replica set as it contains self-healing shard. However, this kind of failover seems to be a completely automated process and so it does not necessitate the administrative intervention.

Remember different replicas constituting the MongoDB replica set seems to be configurable. A large number of replicas would be giving out enhanced protection and a boost in data availability in case of database downtime such as multiple machine failures, rack failures, network partitions, and even data center failures. You may contact reputed services such as RemoteDBA.com for perfect solutions.

Advantages of MongoDB

You must understand the reason why remote DBA specialists consider MongoDB surely a leading and effective NoSQL database.

Disseminated Data Platform:  MongoDB can be operated across geographically distributed cloud regions and data centers ensuring newer heights of scalability and availability. Without changing anything in your application and of course, without any downtime, MongoDB has the capability of scaling elastically, as far as, throughput and data volumes are concerned. MongoDB technology allows adequate flexibility and good consistency across diverse data centers.

Rapid, Iterative Development: Changing business needs would no longer be impacting the successful project delivery. Thanks to MongoDB’s flexible data model along with dynamic schema, robust GUI, and powerful command line tools, it is now possible for developers to rapidly build and evolve all required applications. Thanks to automated provisioning, it is now possible for continuous integration, as well as, seamless delivery for more productive and efficient operations. Complex operations and static relational schemas of RDBMS are issues of the past.

Why Do You Require The MongoDB Technology?

  • In MongoDB, the data storage seems to be in document-oriented style. Moreover, it is carried out in actually JSON style documents.
  • It provides the advantage of high availability and replication.
  • The data could be easily indexed depending on any attribute.
  • It could be performing auto-sharding of data.
  • It provides rich querying options. You could now have access to quick in-place updates.
  • MongoDB is actually professionally supported. Moreover, it enjoys the support of its growing community.

Where Should You Use MongoDB?

MongoDB could be used in:

  • Big Data
  • Data Hub
  • Social & Mobile Infrastructure
  • Content Management, as well as, delivery
  • User Data Management

Some MongoDB Features

Flexible Data Model: MongoDB is known to store data in the really flexible JSON documents that make data combining and persistence easy and much more convenient.  The objects present in the application code would be mapped to your document model and because of that working with data could be easier. Moreover, thanks to schema governance complex aggregations and even rich indexing functionalities are never compromised. Without downtime, it is now convenient to make schema modifications dynamically. Flexibility rules out chances of data manipulation.

Integrated Feature Set: You could be getting a host of brilliant real-time applications thanks to data visualization and analytics, event-driven data pipelines, geospatial and text search, graph processing, secure global replication, and in-memory performance.

Conclusion: Really Long-Term Commitment

MongoDB querying style actually is supposed to be dynamic on documents because it is purely a document-oriented query language which could surely be as useful as the SQL. You would be surprised to learn about the phenomenal development and progress of this amazing technology. It has gathered more than 30 million downloads, around 4,900 customers and more than 1,000 partners. You must have realized by now that if you start using this brilliant technology in your company then you could rest assured that your investment has not gone to a waste and you are certainly on the road to success.

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