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@article{186447,
        author = {Saurabh Dhakite and Ramiz Shaikh and Kapil Tajane},
        title = {Design, Implementation, and Evaluation of a Rapidly Indexed Persistent Document-Based NoSQL Database with SQL-like Querying and JSON Persistence},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {7686-7692},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186447},
        abstract = {The increasing volume and complexity of data in modern applications necessitates flexible and high-performance database systems. Traditional relational databases struggle with unstructured data, whereas existing NoSQL solutions often sacrifice either query speed, ease of use, or persistence. This paper presents ZenDB, a document-oriented NoSQL database that integrates rapid in-memory sorted indexing, SQL-like querying, and JSON-based persistence. ZenDB provides fast equality and range queries, automatic index maintenance, persistent storage, and a familiar query interface for developers. We present a detailed architecture, implementation strategies, performance evaluation with large-scale datasets, and comparisons with existing NoSQL and relational systems. Results demonstrate that ZenDB offers significant improvements in query efficiency and system durability, making it suitable for real-time analytics, lightweight web applications, and large-scale data storage solutions.},
        keywords = {NoSQL, Document Database, Persistence, SQL-like Query, Sorted Index, Rapid Querying, JSON Storage, In-Memory Indexing, Big Data, Database Performance},
        month = {November},
        }