Database & Data Sync Blog
IoT, Edge Computing, and Digitalization in Healthcare
The digitization of healthcare is accelerating, driven by AI and empowered by Edge Computing. Rising IoT adoption and exploding health data volumes are enhancing efficiency and patient experiences while cutting costs. Meanwhile, privacy concerns and stricter regulations are shifting focus from cloud to Edge Computing, enabling faster, safer, and more reliable healthcare solutions.
The Embedded Database for C++ and C
Learn about the high-performance embedded database for C++ & C that’s faster than SQLite, object-oriented & offers Data Sync & Vector Search. It is the first on-device vector database on the market, and uniquely suited for fast Edge AI on Mobile, IoT, and Embedded devices…
The Critical Role of Databases for Edge AI
Discover how Edge AI is transforming modern applications by bringing AI closer to where data is generated and used. From enhanced privacy and faster responses to reduced costs and energy consumption, learn why Edge AI is a game-changer. Explore its benefits, challenges, and how ObjectBox empowers AI at the edge with its on-device vector database and seamless data sync solutions.
Bi-directional Offline-First Data Sync with MongoDB and ObjectBox
In today’s fast-paced, decentralized world valuable data is generated by everything, everywhere, and all at once. To harness the vast opportunities offered by this data for data-driven organizations and AI applications, you need to be able to access the data and...
The rise of small language models
As artificial intelligence (AI) continues to evolve, companies, researchers, and developers are increasingly recognizing that bigger isn’t always better. Therefore, the era of ever-expanding model sizes is giving way to more efficient, compact models, so-called Small...
MongoDB Realm & Device Sync alternatives – ObjectBox
MongoDB Realm & Device Sync got deprecated, but there are alternatives. Check out why to migrate to ObjectBox. How-to coming soon….
Local AI – what it is and why we need it
Artificial Intelligence (AI) has become an integral part of our daily lives in recent years. However, it has been tied to running in huge, centralized cloud data centers. This year, “local AI”, also known as “on-device AI” or “Edge AI”, is gaining momentum. Local...
First on-device Vector Database (aka Semantic Index) for iOS
Easily empower your iOS and macOS apps with fast, private, and sustainable AI features. All you need is a Small Language Model (SLM; aka "small LLM") and ObjectBox - our on-device vector database built for Swift apps. This gives you a local semantic index for fast...
Retrieval Augmented Generation (RAG) with vector databases: Expanding AI Capabilities
What is RAG? Retrieval Augmented Generation (RAG) is a technique to enhance the intelligence of large language models (LLMs) with additional knowledge, such as reliable facts from specific sources, private or personal information not available to others, or just fresh...
The on-device Vector Database for Android and Java
ObjectBox 4.0 is the very first on-device, local vector database for Android and Java developers to enhance their apps with local AI capabilities (Edge AI). A vector database facilitates advanced vector data processing and analysis, such as measuring semantic...
Vector search: making sense of search queries
What is vector search and why does it matter? Learn how it enhances query accuracy, leverages semantics, and utilizes advanced techniques like approximate nearest neighbor search. Explore how vector search revolutionizes AI and information retrieval.
Python on-device Vector and Object Database for Local AI
Python developers, did you know you can now do local / on-device RAG on commodity hardware without the need for an Internet connection, and no need to share the data?
The battle-tested on-device database, ObjectBox, has just extended their Python support. It’s a very lightweight and fast vector database alternative you can run on almost any hardware.
Even with millions of documents, ObjectBox finds the nearest neighbours within milliseconds on commodity hardware.
Evolution of search: traditional vs vector search
Traditional search vs. vector search – what are the key differences? Why is vector search crucial in today’s data-driven world? This article delves into the evolution of search technology, comparing traditional keyword methods with vector search, and highlights the benefits of AI-powered semantic understanding for improved search accuracy and relevance.
On-device Vector Database for Dart/Flutter
ObjectBox 4.0 introduces the first on-device vector database for the Dart/Flutter platform, allowing Dart developers to enhance their apps with AI in ways previously not possible. A vector database facilitates advanced data processing and analysis, such as measuring...
The first On-Device Vector Database: ObjectBox 4.0
With on-device vector database, you can bring the capability of vector databases directly onto a wide range of devices, from mobile phones to IoT and embedded systems.
SQLite and SQLite alternatives – a comprehensive overview
Digitalization is still on the rise, as is the number of connected devices (from 13 billion connected IoT devices + 15 billion mobile devices operating in 2021 already). Data volumes are growing accordingly ( 3.5 quintillion bytes of data is produced daily in 2023),...
Edge AI: The era of on-device AI
Edge AI is an often overlooked aspect of AI's natural evolution. It is basically the move of AI functionalities away from the cloud (or powerful server infrastructure) towards decentralized (typically less powerful) devices at the network's edges, including on mobile...
In-Memory Database Use Cases
Discover the versatility of ObjectBox with its new in-memory database feature. Ideal for caching, temporary data, and enhancing app speed, this update caters to various use cases, including diskless devices and testing environments. Seamlessly switch between disk-based and in-memory storage options, with future updates promising enhanced performance and persistence functionalities. Available now for Java, Android, C, C++, with support for Dart, Go, Python, and Swift coming soon.
