NoSQL

NoSQL databases differ from relational databases by allowing more complex structures without requiring traditional relationships such as one-to-many or one-to-one. Instead, NoSQL databases leverage flexible types, such as arrays or subdocuments, to store related data efficiently within a single document. This flexibility enables developers to design models that suit their application’s querying and performance needs. Jakarta NoSQL is a Java framework that simplifies interactions with NoSQL databases, including MongoDB. It provides annotations that determine how data is mapped and stored,…

Handling diverse database structures often introduces significant complexity to system architecture, especially when multiple database instances are required. This fragmentation can complicate operations, increase costs, and reduce efficiency. Multimodel databases like ArangoDB provide a unified solution to address these challenges. They simplify architecture and streamline data management by supporting multiple data models — key-value, document, and graph — within a single database instance. Unlike relational databases, NoSQL databases do not adhere to a universal standard like SQL. Instead, they are…

When developers first think about managing data or choosing a database for their application, the first thing that often comes to their mind is —  — that’s right, a table. They then set up different tables for the different types of data, like having one table for users and another for products, orders, and so on. With data spread across different tables, they are bound to have a relationship with each other. Therefore, the tables will have references to the…

NoSQL databases have become a cornerstone of modern application development, offering scalability and flexibility for handling diverse data types. However, for many Java developers, integrating with NoSQL databases can be complex and time-consuming. This is where Eclipse JNoSQL comes in, providing a seamless and standardized way to connect your Java applications to various NoSQL databases. This article explores how Eclipse JNoSQL 1.1.3 simplifies database integration, enhances developer productivity, and offers flexibility across different databases. We’ll also walk you through a…

About Oracle NoSQL Database Oracle NoSQL Database is a robust solution offering a blend of SQL-like interfaces for working with NoSQL data models. This database system enables developers to handle various data types without impedance mismatch issues, including flat relational data, hierarchical typed data, and schema-less JSON data. Impedance mismatch occurs when differences between the database and the programming language models create data handling challenges. Still, Oracle NoSQL eliminates this by providing a seamless experience across multiple data structures. Oracle…

How do you approach data processing? What aspects are worth special consideration? Find the difference between relational vs non-relational databases to make informed decisions and learn how to choose a database regarding your project needs. What Is a Relational vs Non-Relational Database? That’s obviously the first question to address when choosing a database for your project. Knowing the difference between relational vs non-relational databases helps to be more specific with your requirements and leverage the right solutions.  Being in use…

Welcome to the lesson of our “SQL Interview Preparation Series: Mastering Questions and Answers Quickly!” Throughout this series, we aim to assist you in getting ready, for SQL interviews by delving into different topics. Today we’re delving into the core variances between SQL and NoSQL databases, a subject for any data focused job interview. Understanding SQL and NoSQL Relational databases, commonly referred to as SQL databases, are crafted to handle data. They adhere to a predefined schema, which makes them…

Polymorphism, a fundamental concept in object-oriented programming, allows objects of different types to be treated as instances of a common superclass. This flexibility is essential for creating systems that can be easily extended and maintained. While traditional SQL databases in combination with Jakarta Persistence (JPA) can handle polymorphic data, NoSQL databases offer distinct advantages. Unlike SQL databases, which require strict schema definitions, NoSQL databases take a schema-less approach, inherently supporting dynamic and flexible data structures. This flexibility becomes especially appealing…

In most financial firms, online transaction processing (OLTP) often relies on static or infrequently updated data, also called reference data. Reference data sources don’t always require ACID transaction capabilities, rather need support for fast read queries often based on simple data access patterns, and event-driven architecture to ensure the target systems remain up-to-date. NoSQL databases emerge as ideal candidates to meet these requirements, and cloud platforms such as AWS offer managed and highly resilient data ecosystems. In this article, I…