Announcement
Limbo Project: The Next Evolution of SQLite (Work in Progress)
Limbo is positioned as the next step in the evolution of SQLite, offering enhanced capabilities for modern data management needs while retaining the core benefits of an embedded database. It aims to provide developers with a more powerful, flexible, and potentially distributed embedded database solution.
Project Introduction
Summary
Limbo is an ambitious project to develop a next-generation embedded database, evolving from the principles and success of SQLite. It aims to bring modern database features and performance improvements to the familiar embedded database paradigm.
Problem Solved
While SQLite is widely used and loved, it has limitations in areas like concurrency under heavy write load, specific data types, or built-in replication. Limbo seeks to address these limitations, providing a more robust solution for complex or distributed embedded scenarios.
Core Features
Enhanced Core Database Engine
Building upon SQLite's strengths, Limbo aims to introduce new features or improvements that push the boundaries of embedded database capabilities.
Modern Data Management Capabilities
Explore potential features like improved concurrency, replication options, or advanced data types not typically found in standard embedded databases.
Tech Stack
Use Cases
As an evolutionary step from SQLite, Limbo is expected to be suitable for many scenarios where SQLite is currently used, plus potentially new areas enabled by its enhanced capabilities:
Mobile and Desktop Application Storage
Details
Mobile or desktop applications requiring robust local data storage with potentially improved synchronization or concurrency features.
User Value
Provides a powerful, local database that is easy to embed, with capabilities exceeding standard SQLite.
Edge Computing and IoT Data Management
Details
Edge computing devices or IoT applications needing reliable local data processing and storage, potentially with simple replication to a central store.
User Value
Enables more sophisticated data handling directly on resource-constrained devices.
Recommended Projects
You might be interested in these projects
analogdevicesincno-OS
Explore Analog Devices' comprehensive collection of C software drivers and examples for systems operating without an operating system (no-OS). This repository provides essential building blocks for bare-metal embedded development on various Analog Devices hardware.
commaaiopendbc
Explore and interact with vehicle data using this powerful Python API. Decode automotive signals and build custom applications with ease.
dreammissocial-auto-upload
An open-source tool to automate video uploads to multiple social media platforms including Douyin, Xiaohongshu, Wechat Channels, TikTok, YouTube, and Bilibili. Save time and streamline your content distribution.