Database & Data Sync Blog

In-Memory Database Use Cases

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.

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Vector types (aka arrays) added with ObjectBox Java 3.6 release

Multi-dimensional vectors / vector embeddings are a central building block for AI applications. And accordingly, the ability to store vectors to add long-term memory to your AI applications (e.g. via vector databases) is gaining importance. Sounds fancy, but for the basic use cases, this simply boils down to “arrays of floats” for developers. And this is exactly what ObjectBox database now supports natively. If you want to use vectors on the edge, e.g. in a mobile app or on an embedded device, when offline, independent from an Internet connection, removing the unknown latency, try it and let us know what you think.

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Vector databases – a look at the AI database market with a comprehensive comparison matrix

Vector databases – what are vector databases? Why do you need them for AI applications? This article provides an overview on the topic of vector databases, its use for AI and takes a look at the market including a comprehensive comparison matrix on popular vector database choices like Weaviate, Marqo AI, Chroma, Pinecone and many more

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What is an Edge Database, and why do you need one?

What is an Edge Database, and why do you need one?

Edge Databases are a new type of database rising to the needs of the decentralized Edge Computing topology. They deliver specific feature sets making it easy for application developers to implement edge solutions quickly and successfully without being detered or even stopped by fundamental functionalities like fast local data persistence and decentralized data flows (Data Sync).

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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.

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Green Coding: Developing Sustainable Software for a Greener Future

Every line of code – scaled up to hundreds, thousands, or even millions of devices (desktops, smartphones, tablets…) worldwide – has the potential to significantly reduce energy consumption and CO₂ emissions.

Digitization helps to save CO₂ – many experts agree on that. But things are not that simple, because the creation of software and its use contribute to greenhouse gas emissions too.
All code creates a carbon footprint. Software development and use affect the environment from the energy consumed while running to the associated electronic device waste. Choosing a sustainable architecture matters, but developers also can make a difference with green coding, creating envrionmentally sustainable software. And those that build developer tools can help even more so.

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