Database & Data Sync Blog
ObjectBox Data Sync Server & MongoDB Connector Updates
We're excited to announce the latest updates to ObjectBox Sync Server with our recent 2025-06-02 and 2025-05-27 releases. These updates bring significant improvements to data handling, authentication, and user interface, making your data synchronization experience...
Why Edge AI is crucial for retail and POS systems in 2025
Learn how Edge AI is transforming retail with offline in-store and Edge AI to enhance efficiency, reduce costs, and boost sales
Data Sync Alternatives: Offline vs. Online Solutions
Discover Data Sync alternatives: Compare online and offline solutions, their benefits, and why offline-first sync is key for performance and privacy.
Top Small Language Models (SLMs) and how local vector databases add power
Can Small Language Models (SLMs) really do more with less? In this article, we discuss the unique strengths of SLMs, the top SLMs, their integration with local vector databases, and how SLMs + local vector databases are shaping the future of AI, prioritizing privacy, immediacy, and sustainability.
Why do we need Edge Computing for a sustainable future?
Centralized data centers consume a lot of energy, produce a lot of carbon emissions and cause significant electronic waste. While data centers are seeing a positive trend towards using green energy, an even more sustainable approach (alongside so-called “green data centers” [1]) is to cut unnecessary cloud traffic, central computation and storage as much as possible by shifting computation to the edge. Ideally, Edge Computing strategies use efficient technologies like ObjectBox to harness the power of already deployed available devices (like e.g. smartphones, machines, desktops, gateways), making the solution even more sustainable.
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 (“small LLMs”)
Discover how Small Language Models (SLMs) are reshaping the AI landscape. Learn why the shift from massive LLMs to compact, efficient SLMs is driving faster, greener, and more private AI—ideal for on-device, real-time, and sustainable applications
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 Explained: Fast, Private, and On Your Device
Discover how Local AI works on phones, PCs & POS systems — enabling offline, private, energy-efficient AI. Learn why it’s key for fast, sustainable apps
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.
