This guide explores the features and benefits of using MongoDB as part of your enterprise database management solution.
What is MongoDB?
MongoDB is an open source, non-relational database management system (DBMS) that uses flexible documents to process and store various forms of data. A NoSQL solution, MongoDB provides an elastic data model that enables users to store and query multivariate data types with ease. This not only simplifies database management for developers but also creates a highly scalable environment for applications and services.
MongoDB uses documents or collections of documents as its basic unit of data. Formatted as Binary JSON (Java Script Object Notation), these documents can store various types of data and be distributed across multiple systems. Since MongoDB doesn’t require any pre-defined schemas, users have unparalleled flexibility when creating data records, querying document collections, and analyzing large amounts of information.
Over the years, MongoDB has become a trusted solution for many businesses who are looking for a powerful and highly scalable NoSQL database. But MongoDB is much more than just a traditional document-based database, and it boasts a few great capabilities that make it stand out from other DBMS.
As enterprises cloud applications scale, problems can arise when securing the availability and reliability of services as resource demands increase. MongoDB’s load balancing sharing process distributes large data sets across multiple virtual machines at once while still maintaining acceptable read and write throughputs. This flexibility helps organizations avoid the cost of vertical scaling of hardware while still expanding the capacity of cloud-based deployments.
Ad hoc database queries
One of MongoDB’s biggest advantages over other databases is its ability to handle ad hoc queries that don’t require pre-defined schemas. MongoDB uses a query language that’s similar to SQL databases and is extremely approachable for beginner and advanced developers alike. This accessibility makes it easy to push, query, sort, update, and export your data with common help methods and simple shell commands.
One of the great things about MongoDB is its multi-language support. Several versions of MongoDB have been released and are in continuous development with driver support for popular coding languages, including Python, PHP, Ruby, Node.js, C++, Scala, and many more.
MongoDB’s JSON document model lets you store backend application data wherever you need it, including Apple iOS and Android devices as well as cloud-based storage solutions. This flexibility lets you aggregate data across multiple environments with secondary and geospatial indexing, giving developers the ability to scale their mobile applications seamlessly.
As companies scale their operations, gaining access to key metrics and business insights from large pools of data is critical. MongoDB handles the conversion of JSON/BSON formats into Java objects effortlessly, making the reading and writing of data in MongoDB fast and incredibly efficient when analyzing real-time information across multiple development environments. This has proved beneficial for several business sectors, including government, financial services, retail, and more.
Content management systems
Content management systems (CMS) are powerful tools that play an important role in ensuring positive user experiences when accessing e-commerce sites, online publications, document management platforms, and other applications and services. By using MongoDB, you can easily serve new features and attributes to your online applications and websites using a single database and without disruption of service.
With so many database management solutions currently available, it can be hard to choose the right solution that’s right for your enterprise. Here are some common solution comparisons and best use cases that can help you decide.
MongoDB vs. MySQL
MySQL uses a structured query language to access stored data. In this format, schemas are used to create database structures, utilizing tables as a way to standardize data types so that values are searchable and can be queried properly. A mature solution, MySQL is useful for a variety of solutions including website databases, applications, and commercial product management.
Because of its rigid nature, MySQL is preferable to MongoDB when data integrity and isolation is essential, such as when managing transactional data. But, MongoDB’s less-restrictive format and better performance makes it a better choice in particular when high availability and speed are primary concerns.
MongoDB vs. Cassandra
While Cassandra and MongoDB are both considered NoSQL databases, they both have different strengths. Cassandra uses a traditional table structure with rows and columns, which enables users to maintain uniformity when formatting data before it’s created.
Cassandra can offer an easier transition for enterprises looking for a NoSQL solution because it has a similar syntax to SQL; it also reliably handles deployment and replication without a lot of configuration. However, it can’t match MongoDB’s flexibility for handling structured and unstructured data sets or its performance and reliability for mission-critical cloud applications.
Deployment and setup
Deployment involves two primary activities: installing MongoDB and creating a database.
- Windows: To install MongoDB in a Windows environment, run Windows Server 2008 R2, Windows Vista, or later. Once you’ve decided on the type of database architecture you’ll be using, you can download the latest version of the platform on MongoDB’s download page.
- Mac: When you install MongoDB on macOS, there are two ways you can approach it. Similar to the install process for Windows-based environments, MongoDB can be installed directly from the developer website once you’ve decided on the type of build you’ll be using. However, the easier and more common method of installing and running MongoDB in Mac is through the use of the Terminal app running Homebrew. Click here for more information on Homebrew installations of MongoDB.
Creating a database
After installing MongoDB, you’ll need to ensure you create a data directory where your data will be stored. This can be done locally or through public and private cloud storage solutions. For more information about getting started with MongoDB, click here for comprehensive guides and walkthroughs.
MongoDB and IBM
For organizations seeking a better solution for managing their NoSQL databases while integrating into a multicloud environment, IBM Cloud Databases for MongoDB provides a flexible and scalable solution for all your enterprise needs. By leveraging MongoDB’s powerful indexing and querying capabilities with IBM’s fully managed, secure cloud configurations, you get a highly sustainable and secure solution for enterprise database management.
Natively integrated and available in the IBM Cloud console, Databases for MongoDB provides seamless automation capabilities when maintaining, coordinating, and monitoring multiple datasets across your entire infrastructure. With IBM’s years of experience in enterprise development and database management at your disposal, you can let your team focus on creating better, more innovative solutions for your clients knowing that your business’s security, compliance, scalability, and reliance are in the right hands.
To learn more about how easy it can be to deploy MongoDB in an enterprise setting and how you can maximize your team’s efficiency, explore IBM Cloud Databases for MongoDB.
For a more in-depth look at MongoDB, check out “Database Deep Dives: MongoDB.”
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