A Comparative Analysis of AWS and Google Cloud Database Offerings 1. Executive Summary The contemporary cloud database landscape, dominated by Amazon Web Services (AWS) and Google Cloud Platform (GCP), has evolved significantly from traditional, monolithic database systems. Both providers offer an extensive and increasingly specialized array of database services designed to meet diverse application requirements, … Read more
Company Overview SingleStore (formerly MemSQL) is a distributed SQL database company founded in 2011 by ex-Facebook engineers Nikita Shamgunov, Adam Prout, and Eric Frenkiel forgeglobal.comthebrandhopper.com. Headquartered in San Francisco, SingleStore has remained a privately-held firm and has raised over $460 million in funding from investors such as Goldman Sachs, Accel, Google Ventures, and IBM Ventures … Read more
IBM Cloud Database Product Portfolio IBM Cloud provides a broad portfolio of managed database services, covering relational databases, NoSQL document stores, in-memory data grids, search and analytics engines, and modern data warehouse solutions. This section enumerates the major IBM Cloud database products, organized by category, and describes each service’s core functionality. Relational Database Services IBM … Read more
1. Introduction The proliferation of artificial intelligence (AI) and machine learning (ML) applications has introduced new data management challenges, particularly concerning high-dimensional vector data generated by embedding models. These vectors, representing semantic meaning in text, images, audio, and other data types, require specialized storage and querying capabilities, specifically for similarity search operations.1 Traditionally, this necessitated … Read more
This study guide covers all official exam topics for Oracle 1Z0-184-25, with in-depth explanations, code examples (SQL, PL/SQL, Python), and practice questions. The guide is organized according to the main subject areas of the exam and emphasizes Oracle’s latest 23c/23ai features and documentation. Use the structured headings and lists to navigate each topic, and refer … Read more
Historical Overview of Vector Databases Vector databases have roots stretching back several decades, evolving alongside advancements in data management and AI. Early hints of the concept appeared in the 1960s–1970s, when foundational work on relational databases laid groundwork for indexing data by mathematical representations. By the 1980s–1990s, specialized spatial databases emerged to handle geographic and … Read more
Introduction In the last two decades, the database landscape has expanded far beyond traditional relational systems. The rise of NoSQL databases in the late 2000s introduced specialized data stores for documents, key–value pairs, wide-column tables, and graphs, driven by the need to handle web-scale data with flexible schemas and horizontal scalability (Introduction Nosql. Speaking of … Read more
Oracle Multicloud: A Comprehensive Technical Report Introduction Modern enterprises increasingly adopt multicloud strategies, using multiple cloud providers in tandem to optimize capabilities and avoid vendor lock-in (Multicloud is the New Norm | Oracle). In fact, nearly 98% of large enterprises are using or planning to use services from more than one public cloud (Multicloud is … Read more
MySQL and PostgreSQL are prominent open-source relational database management systems (RDBMS) widely used across various applications. As one of the most popular database management programs globally, MySQL allows users to interact with large amounts of data across multiple databases1. Similarly, PostgreSQL has gained significant traction as a robust and reliable database solution. This report delves … Read more
Synthetic Data: A Comprehensive Overview Introduction In today’s data-driven world, access to high-quality data is essential for various applications, ranging from machine learning and artificial intelligence to software testing and scientific research. However, acquiring and using real-world data can be challenging due to privacy concerns, cost constraints, and the risk of bias. Synthetic data has … Read more