MongoDB for Data Management: Handle Big Data Easily

Why businesses choose MongoDB for data management

Choosing the right database for your business can be overwhelming with so many options. Should you go for a NoSQL database like MongoDB, Apache Cassandra, or Amazon DynamoDB? Or perhaps a SQL option like MySQL, Oracle, or Microsoft SQL Server? Selecting the best database platform from the start is essential, as migrating data later can be challenging. MongoDB for data management offers flexible, scalable solutions for modern business needs.

Understanding MongoDB: A look into its structure

MongoDB is a document database known for its scalability and flexibility. Key features include its open-source, cross-platform nature, high availability, and rapid data processing. It stores data in BSON (Binary JSON) format, which enables efficient storage and retrieval. MongoDB supports businesses across various industries, including Toyota, Uber, Bosch, and Urban Outfitters.

SQL vs. NoSQL: What sets MongoDB apart?

MongoDB is classified as a NoSQL database, introduced in 2007. In contrast, SQL databases are relational, organised in tables, and communicate via Structured Query Language (SQL). As a Google Cloud article explains, SQL databases are “often used for a well-structured data model or for transactional queries in which the data structure does not change often.” Structured Query Language serves as the means to communicate with relational databases, allowing users to extract, organise, and manipulate data.

NoSQL databases like MongoDB support flexible data formats, making them ideal for complex, fast-changing data needs. MongoDB’s design caters to diverse, agile data requirements, unlike traditional SQL databases, which excel in more stable data structures.

Why choose a NoSQL database?

Many businesses select NoSQL databases like MongoDB when handling large volumes of semi-structured data or working in agile environments. MongoDB also works well with microservices, making it a popular choice in flexible applications. Some companies even integrate MongoDB with SQL databases, allowing for broader access and functionality across departments.

Businesses often select a NoSQL database like MongoDB when they:

• operate in fast-paced Agile environments,
• need to store both structured and semi-structured data,
• process high volumes of data,
• anticipate scalability needs, and
• run multiple microservices within their applications.

However, SQL and NoSQL databases are not mutually exclusive. Blending NoSQL with SQL for a complete solution
Enterprises sometimes pair MongoDB with a traditional relational database, especially when different departments access data for diverse purposes. As Jackie Barre explains in a Redgate Hub article, “NoSQL databases like MongoDB can therefore benefit from successful coexistence with relational databases.” This combination allows businesses to leverage the best of both worlds, optimising their data management for varied needs.

Transactions in MongoDB: Does it support ACID?

Yes, MongoDB supports transactions, including multi-document events. Contrary to common belief, NoSQL databases can support ACID transactions, depending on their architecture. In 2018, MongoDB began supporting ACID transactions, extending to distributed multi-document transactions in 2019. This support ensures data consistency even in multi-record operations.

What are MongoDB’s main advantages?

MongoDB offers many benefits:

• Mature, widely-used platform: Established in 2007, MongoDB enjoys a robust community and extensive documentation.
• Scalability with sharding: It distributes data across servers, reducing downtime and failure risks.
• Strong data consistency: MongoDB ensures that clients see the same data across different views.
• Customisable availability: MongoDB allows for adjustable levels of consistency and availability to meet business needs.
• Manages large, varied data: MongoDB pools data from diverse sources, supporting a unified view.
• Resilient to changes: MongoDB handles data inconsistencies, reducing the need to redesign repositories.
• Compatible with hybrid and multi-cloud setups: MongoDB supports various modern configurations, making it adaptable to evolving needs.

MongoDB Community Edition, Atlas, and Enterprise Advanced

MongoDB comes in three primary editions:

• MongoDB Community Edition: This free, open-source version is excellent for small to medium applications.
• MongoDB Atlas: A managed, cloud-hosted service, Atlas removes the need for infrastructure management.
• MongoDB Enterprise Advanced: Designed for on-premises or private cloud setups, it provides enterprise-grade support.

Does MongoDB Atlas integrate with cloud providers?

Yes, MongoDB Atlas integrates with AWS, Azure, and Google Cloud. It’s the only multi-cloud database solution that supports running across multiple clouds and regions, offering a truly global solution.

Practical use cases for MongoDB

MongoDB’s adaptability makes it ideal for various use cases across industries, particularly where scalability and flexibility are essential.

Industry examples include:

• Finance: Supports microservices, improves transaction speed, and manages data modelling.
• E-commerce: Handles asset management, personalisation, and seasonal demand scaling.
• Marketing: Enables advanced analytics for tracking and reporting.
• Media and publishing: Manages user data, digital assets, and content delivery.
• Aviation: Assists in real-time weather-based decision-making.
• Genetic research: Facilitates handling unstructured data and large computing power.
• Pharmaceuticals: Streamlines data management, boosting R&D processes.
• Meteorology: Supports live analytics for weather predictions.
• Gaming: Enables instant scaling for online gaming and player management.

How leading companies use MongoDB

Several large organisations have already adopted MongoDB:

• Bosch: Uses MongoDB to power IoT-enabled applications.
• Forbes: Switched to MongoDB to develop a faster, more reliable content management system.
• Expedia: Leveraged MongoDB for a personalised trip-planning tool.
• Salesforce Marketing Cloud: Uses MongoDB to track over 30 million daily events.
• AstraZeneca: Relies on MongoDB to manage extensive genomic data for research.

MongoDB’s role in driving business growth

For businesses aiming to use analytics for a competitive edge, MongoDB offers a powerful, flexible data solution. MongoDB is ideal for companies focused on real-time data, scaling on demand, and delivering an enhanced user experience. It enables organisations to turn data into valuable assets, supporting innovation and customer engagement.

How can I learn more?

This article is part of a broader series exploring technologies featured in Devoteam’s TechRadar. To learn more, download the latest TechRadar by Devoteam.