MongoDB is a flexible and scalable NoSQL document-based database system created to overcome the limitations of NoSQL solutions and the approach related to relational databases. It is popular for horizontal scaling and its unique capabilities to balance loads. Application developers get an unprecedented amount of scalability and flexibility with this database platform. Remotedba.com specialists can help you use the database in the best way for your business.
Popularity across the globe
In modern apps, MongoDB Atlas is the primary service provider for cloud databases across the globe. With the help of Atlas, application developers are able to deploy full-time cloud database platforms across Google Cloud, AWS, and Azure. This platform has high security as well as standard practices for privacy. This means that application developers can get the assurance they need when it comes to the scalability, availability, and compliance needed for application development at the enterprise levels.
As of now, in 2020, users have downloaded MongoDB over 30 million times, with more than 730,000 registrations under MongoDB University. The platform has drivers in over 10 languages, with lots more being added to it by the community. The biggest advantage of the MongoDB database platform is it is 100% free for you to use.
Developers are able to enjoy the benefits of several out-of-the-box technical capabilities of MongoDB irrespective of whether they want to run an application on the cloud or privately. Given below are the top 3 technical features of the MongoDB-
- Ad-hoc queries for real-time optimized analytics – When you are designing a database schema, it is not possible for you to know beforehand the queries that will be requested by the end-user. Here, an ad hoc query comes in handy as it is a temporary command in nature with a value that depends upon a variable. Every time there is an ad hoc query execution, the result comes out differently as it relies on the variables that are in question.
When you optimize how ad hoc queries are managed, you can make a huge difference at its scale, especially when you need to consider thousands to about a million variables. This makes the MongoDB stand apart from a cloud database system that needs real-time analytics as it is a flexible schema platform. With support for ad hoc queries, developers can update them in real-time. This again improves the database performance, and this indeed can be a game-changer for the business enterprise.
Skilled DBAs in performance tuning and database management state the MongoDB offers support for range queries, field queries, and searches pertaining to a regular expression. These queries can return the specific fields and account for functions that are defined for users. This is possible due to the indexes under MongoDB associated BSON documents and deploys the MongoDB Query Language or MQL.
- Appropriate Indexing for improved execution of queries – In the opinion of experienced database administration companies like RemoteDBA.com and others that specialize in database administration, the biggest issue that technical support staff fails to resolve with the end-user of a database is indexing. If indexing is carried out correctly, the performance and speed of the database are boosted. Suppose there is a failure in correctly appropriating indices. In that case, this will lead to a diversity of issues regarding the accessibility of the database system, like balancing the load and the query’s execution.
In the absence of the correct indices, the database platform will be forced to scan the documents singly to identify the ones that are the same as the query statement. However, if there is an appropriate index for every query, the end user’s requests are optimally executed in the server. The MongoDB platform provides a wide range of features and indices that are language-specific so that orders can be sorted for supporting access patterns that are complex in nature to the data sets.
Professionals in the field of database administration and performance tuning state that these indices in the MongoDB can be created to accommodate queries in real-time on-demand. This means they are effective against query patterns that change all the time and cater to the application’s requirements better. They can be declared for any field in any document with the inclusion of those that rest within its arrays.
- Replication for improved data stability and availability – When the data stays in one database, it is vulnerable to several instances of failure like an interruption in the service, server crashes, and hardware failure that is quite common. Any kind of the instances above will make the accessibility of the data impossible.
Replication helps you to avert these problems as it offers you multiple servers for backup and disaster recovery. The horizontal scaling across many servers that keep similar data or shards of the same data means that it can extensively boost the availability and the stability of this data. Replication assists with the balancing of loads. When many users access the same information or data, its load can be effectively distributed evenly through multiple servers.
In the MongoDB database platform, the replica sets are deployed for the above task. The primary node or server accepts the write operations and applies the same ones via the secondary servers, thus replicating data. In case any one of the primary servers experience critical problems or failure, a secondary server can be chosen as the new primary server for the distribution of the data. When the primary node again is back online, it becomes a secondary server for the primary node that has been newly chosen.
Experts in database administration consulting and management state that load balancing is one of the biggest advantages of database management on a large scale, especially for enterprise applications that grow daily. The correct distribution to millions of end-user requests to hundreds or even thousands of database servers can make a much appreciated and noticeable difference in its performance. MongoDB, with its unique features for horizontal scaling like sharding and replication, supports loading balancing, enabling the platform to manage diverse read and write requests concurrently for similar data to ensure consistency around the clock end-user.
