MongoDB: Aadhaar’s Original Database Management

✨ What is MongoDB ?

✨ Main features of MongoDB :

1. Indexing :

2. Replication :

3. Aggregation :

👉🏻 MongoDB provides three ways to perform aggregation: the aggregation pipeline, the map-reduce function, and single-purpose aggregation methods.

4. Server-side JavaScript execution :

5. Load balancing :

✨ How Aadhar uses MongoDB ??

👉🏻 Aadhaar chose to partner with MongoDB (in addition to other vendors such as Hadoop, MySQL, HBase, and Solr) for several reasons.

👉🏻MongoDB is an example of a startup company that leverages its expertise in data management, processing, and analytics to provide services to UIDAI’s Aadhaar program across the fifth and sixth stages of Aadhaar’s value chain.

👉🏻First, MongoDB increases database efficiency with its NoSQL approach, which enables Aadhaar to capture, process, search, and analyze large unstructured datasets faster than most other management software would allow.

👉🏻Second, MongoDB can efficiently store large volumes of biometric data and images, whereas many other management systems, such as MySQL, are less suited for image storage.

👉🏻Third, Aadhaar’s data processing analytics cannot depend solely on a single software supplier. As a result, UIDAI diversified its systems reliance across multiple vendors and leverages each vendor’s strengths. Aadhaar has therefore been less dependent on MongoDB and has decided to share more of the data processing volume with its other management vendors.

Nonetheless, MongoDB has been performing well financially and has gained the attention of many venture investors over the years, including NEA, Seqouia Capital, Flybridge Capital Partners, Union Square Ventures, In-Q-Tel, Intel Capital,, Red Hat, T. Rowe Price, Fidelity, and Altimeter Capital. In its most recent venture round in October 2013, MongoDB had a valuation of approximately $1.2 billion.

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