Document databases are an increasingly important type of technology in the gen AI era. A document database is a type of NoSQL database that doesn't rely on rows and columns like a traditional ...

In today’s data-driven world, databases form the backbone of modern applications—from mobile apps to enterprise systems. Understanding the different types of databases and their applications is ...

Qdrant, a leading provider of high-performance, open-source vector search, is offering a private beta of Qdrant Edge, a lightweight, embedded vector search engine designed for AI systems on devices ...

Declarative traversal syntax (match_node_path(...)) Label/type filtering, limit/offset, result projection Unified API for both nodes and relationships Robust CLI Only pure-Python embedded document ...

Activist Commentary: Irenic Capital was founded in October 2021 by Adam Katz, a former portfolio manager at Elliott Investment Management, and Andy Dodge, a former investment partner at Indaba Capital ...

🗄️ A MongoDB Document Store Query System that loads and queries JSON data to analyze the impact of normalized vs. embedded document models on query performance. Implements indexing strategies and ...

Abstract: Databases have a huge impact on the functionality of a running system, especially in the context of the Internet of Things (IoT). In the IoT, smart products are created with the usage of ...

If you’ve been working with databases at all, you know that NoSQL is the new hot topic. If, by ‘new’, you mean something that’s been around since the 70s. Jokes aside, NoSQL has largely filled a gap ...

Abstract: This paper deals with a multi-objective extracting, managing and interrogating problem for a reconfigurable real-time embedded databases. In nowaday industry, embedded databases which ...

NoSQL includes a wide range of different database technologies and was developed as a result of surging volume of data stored. Relational databases are not capable of coping with this huge volume and ...