article thumbnail

Designing A Non-Relational Database Engine

Data Engineering Podcast

The default association with the term "database" is relational engines, but non-relational engines are also used quite widely. In this episode Oren Eini, CEO and creator of RavenDB, explores the nuances of relational vs. non-relational engines, and the strategies for designing a non-relational database.

article thumbnail

RDBMS vs NoSQL: Key Differences and Similarities

Knowledge Hut

Making decisions in the database space requires deciding between RDBMS (Relational Database Management System) and NoSQL, each of which has unique features. RDBMS uses SQL to organize data into structured tables, whereas NoSQL is more flexible and can handle a wider range of data types because of its dynamic schemas.

NoSQL 52
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

MongoDB JDBC Connectivity: Simple Steps

Hevo

Being a cross-platform document-first NoSQL database program, MongoDB operates on JSON-like documents. On the other hand, JDBC is a Java application programming interface (API) used while executing queries in association with the database.

MongoDB 40
article thumbnail

The Future of Database Management in 2023

Knowledge Hut

NoSQL Databases NoSQL databases are non-relational databases (that do not store data in rows or columns) more effective than conventional relational databases (databases that store information in a tabular format) in handling unstructured and semi-structured data.

article thumbnail

Big Data Technologies that Everyone Should Know in 2024

Knowledge Hut

NoSQL databases are designed for scalability and flexibility, making them well-suited for storing big data. The most popular NoSQL database systems include MongoDB, Cassandra, and HBase. Big data technologies can be categorized into four broad categories: batch processing, streaming, NoSQL databases, and data warehouses.

article thumbnail

NoSQL vs SQL- 4 Reasons Why NoSQL is better for Big Data applications

ProjectPro

Big Data NoSQL databases were pioneered by top internet companies like Amazon, Google, LinkedIn and Facebook to overcome the drawbacks of RDBMS. As data processing requirements grow exponentially, NoSQL is a dynamic and cloud friendly approach to dynamically process unstructured data with ease.IT

NoSQL 49
article thumbnail

The Role of Database Applications in Modern Business Environments

Knowledge Hut

Data Access Layer: The data access layer function is to create a connection between the application and the database. Security and access controls: This includes user authentication, access controls, encryption of data, and auditing functionality to protect data privacy and compliance with security requirements.