MongoDB is a modern, open-source, NoSQL database designed for scalability, flexibility, and high-performance data management. Unlike traditional relational databases, MongoDB uses a document-oriented data model, where data is stored in JSON-like documents, making it intuitive and easy to work with. MongoDB supports advanced querying, indexing, and aggregation, enabling efficient data retrieval even with large datasets. Known for its horizontal scalability, it is an ideal choice for applications that require handling big data, real-time analytics, or dynamic and unstructured content.
01
Readily Available Rules
The component comes with a set of ready-to-use rules that enable developers to easily create, retrieve, update, and delete documents in a MongoDB collection.
02
Abstraction of technical complexity
By simplifying the complexities of integration, our solution handles the challenging aspects, allowing developers to concentrate on simple configurations.
03
New Rule Types for Easy Configuration
The component introduces custom rule types to easily configure server, database, and collection settings.
Ready-to-use rules for data management
Swiftrinity's MongoDB Connector enables Pega-built applications to seamlessly externalize data into MongoDB collections. This component provides ready-to-use rules for CRUD operations, allowing developers to perform data handling with minimal effort. By abstracting the complexities of integration, our solution ensures that the challenging aspects are managed by us, while developers can focus on straightforward configuration.
04
Flexibility of Dynamic Input
The component operates on JSON input. In Pega, clipboard pages can be easily represented in JSON format. This enables applications to export any data structure and utilize the rules defined within the component.
05
High Performance
This component is built using Java code that runs directly on the Pega server, eliminating the need for external APIs to interact with MongoDB. This approach ensures low latency and delivers high performance.
Use cases solved by Swiftrinity MongoDB Connector component
01
Alternative to BIX
Pega's BIX is a solution designed to offer transactional data to a data warehouse in RDMS format. This involves creating multiple external tables and mapping each relevant property in Pega to a corresponding column in the external table. An alternate approach could be to generate a JSON extract from the workpage of a case, which can then be sent to an external NoSQL collection using the Swiftrinity MongoDB Connector component.
02
Implement Data Registers to Externalize transactional data
When multiple applications, particularly those utilizing different technologies, need to interact with the same data, it is most efficient to avoid hosting the data individually within each application. Instead, centralizing the data in an external register is the optimal approach. MongoDB, with its high-speed data retrieval capabilities and native support for the JSON format, is an ideal choice for serving as an external data register for Pega or similar object-oriented technologies. Swiftrinity's MongoDB connector component simplifies the process of consuming and publishing data to such centralized registers, ensuring seamless integration and efficiency.
Schedule a demo
Fill out the below form and we will contact you for a demo.
