Compare the Top Embedded Database Systems that integrate with Rust as of June 2025

This a list of Embedded Database systems that integrate with Rust. Use the filters on the left to add additional filters for products that have integrations with Rust. View the products that work with Rust in the table below.

What are Embedded Database Systems for Rust?

Embedded database systems are lightweight, self-contained databases that are integrated directly into applications, allowing data management without requiring a separate database server. They are optimized for performance and simplicity, often running within the same process as the host application, making them ideal for use in mobile apps, IoT devices, and small-scale applications. These databases support SQL or other query languages and offer full database functionality, including transaction management and data integrity. Embedded database systems are designed to operate with minimal configuration, providing fast, reliable data storage and retrieval within constrained environments. Their ease of integration and low resource usage make them essential for applications that need efficient local data management without the overhead of external databases. Compare and read user reviews of the best Embedded Database systems for Rust currently available using the table below. This list is updated regularly.

  • 1
    LanceDB

    LanceDB

    LanceDB

    LanceDB is a developer-friendly, open source database for AI. From hyperscalable vector search and advanced retrieval for RAG to streaming training data and interactive exploration of large-scale AI datasets, LanceDB is the best foundation for your AI application. Installs in seconds and fits seamlessly into your existing data and AI toolchain. An embedded database (think SQLite or DuckDB) with native object storage integration, LanceDB can be deployed anywhere and easily scales to zero when not in use. From rapid prototyping to hyper-scale production, LanceDB delivers blazing-fast performance for search, analytics, and training for multimodal AI data. Leading AI companies have indexed billions of vectors and petabytes of text, images, and videos, at a fraction of the cost of other vector databases. More than just embedding. Filter, select, and stream training data directly from object storage to keep GPU utilization high.
    Starting Price: $16.03 per month
  • 2
    Ditto

    Ditto

    Ditto

    Ditto is the only mobile database with built-in edge device connectivity and resiliency, enabling apps to synchronize without relying on a central server or constant cloud connectivity. Through the use of CRDTs and P2P mesh replication, Ditto allows you to build collaborative, resilient applications where data is always available and up-to-date for every user. This allows you to keep mission-critical systems online when it matters most. Ditto uses an edge-native architecture, meaning your app remains fully functional even offline. Devices running Ditto apps can discover and communicate with each other directly, forming an ad-hoc mesh network rather than routing everything through a cloud server. The platform automatically handles the complexity of discovery and connectivity using whatever channels are available – for example, Bluetooth, peer-to-peer Wi-Fi, or local LAN – to find nearby devices and sync data with them.
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