MongoDB

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MongoDB: Flexible Database for Modern Applications and Large Unstructured Data

MongoDB is an open-source document-oriented database system designed to handle large volumes of data that do not fit traditional relational structures. Unlike SQL databases, it stores data in BSON (binary JSON) format, allowing dynamic handling of documents with varying shapes, sizes, and depths. This makes MongoDB ideal for applications that require rapid iterations, frequent schema changes, or high performance when working with unstructured or semi-structured data.

Key Features of MongoDB

MongoDB uses a flexible document model where each collection holds documents with optional structure—making it easy to adapt data to the current needs of the application without schema migrations. It enables horizontal scaling via sharding, distributing data across multiple nodes to ensure high availability and performance even with large datasets. Replication provides automatic data redundancy and failover capabilities. MongoDB supports powerful indexing, aggregations, multi-document transactions, geospatial data, and full-text search.

Practical Benefits of MongoDB

MongoDB is well-suited for cases where traditional relational databases hit limitations—such as working with evolving data models, microservices architectures, real-time analytics, or applications requiring fast development and deployment. For developers, it offers an intuitive API, easy integration with Node.js, Python, Java, or Go, and tools like Compass, Atlas (cloud version), and Mongo Shell for data management and analysis. Businesses value MongoDB for its scalability, agility in adapting to changes in application logic, and high availability without complex infrastructure.

Use Cases of MongoDB

MongoDB is widely used in e-commerce systems, customer portals, mobile apps, IoT solutions, CMS platforms, analytics tools, and log/event processing systems. It is also popular among startups and product teams needing to quickly test new ideas and adapt data models without major architectural changes.

MongoDB is a modern database platform built on simplicity, speed, and adaptability to constantly evolving requirements. It offers developers freedom in data structure and provides businesses with a tool to build scalable and flexible systems in both cloud and on-premise environments.

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Where have we used MongoDB?

Take a look at the examples

Peugeot

Automation Of Invoice Extraction

We used the core of our Redque product, which can monitor a defined folder and wait for one or more documents to arrive. The format of the incoming document is PDF with no additional metadata sources. The application extracts the required items from the incoming document. The important items in this case are the invoice number and the dealer number. According to these identification data, the invoice is included in the file structure. Next, the document is electronically signed and transmitted to the dealer.