Couchbase Lite is the only embedded database that gives you local storage, cloud-to-device and peer-to-peer sync, SQL queries, and on-device vector search in one scalable platform. Build resilient apps that always work – even without internet.
Reads and writes hit the embedded database at memory speed – no network round-trip, no stalled UI.
Apps keep reading and writing when the network fails. Sync catches up automatically when connectivity returns.
On-device vector search powers semantic queries and RAG with no internet dependency and full data privacy.
One platform, one query language, one data model – for iOS, Android, .NET, Java, C/C++ (IoT), and browser-based JavaScript.
Ship always-on mobile apps without building data sync yourself. Couchbase Lite embeds a complete NoSQL database – with SQL++ queries, full-text and vector search, reactive listeners, and built-in sync – so you focus on app features instead of distributed systems infrastructure.
SQL++ extends SQL to JSON. Write JOINs, aggregations, and complex filters locally, reusable from device to cloud.
Build private, on-device RAG and similarity features with local hybrid vector search and zero server lag.
Couchbase Lite syncs via Wi-Fi/Bluetooth with auto-discovery, mesh support, and cross-platform iOS/Android support.
Couchbase Lite enables offline web apps to sync with mobile and cloud, all from a single JS SDK.
Secure Couchbase Lite data with AES-256, TLS, BYOK, field-level encryption, and auto-purge on access revocation.
Run local AI models with the Predictive Query API for real-time inference at the point of interaction.
Data lives on-device. Reads and writes happen locally – when the network drops, your app keeps working. Sync reconciles automatically when connectivity returns, with version-vector conflict resolution that’s deterministic across devices.
Idiomatic SDKs that respect each platform’s conventions. SQL support and simple-to-use APIs for database CRUD. Flexible JSON schema means no migrations on app upgrade.
On-device vector search for hybrid (keyword + semantic) queries against local data. Call local or remote ML and LLM models with the Predictive Query API. Build RAG and AI features that work fully offline – with no third-party search or vector store to integrate.
“We penetrate more than 95% of households with our products, so we need to have a robust supply chain as well as a good frontline sales application.”
“To set up a resilient implementation of Couchbase, it took us minutes. We stood up three servers, lit ’em up, balanced the load, and instantly were resilient.”
“Our digital showroom concept completely reimagines the traditional buying approach and establishes a new fashion industry benchmark for sales.”
“With Capella, millions of players are able to have a consistent experience without any disruptions. These capabilities are critical for us.”
Get quick answers to questions about Couchbase’s embedded database.
Couchbase Lite is an embedded NoSQL database for mobile, IoT, and web apps that stores data locally for offline-first access, with built-in SQL, vector search, and data sync.
Yes. Couchbase Lite adds what SQLite lacks: built-in cloud sync, automatic conflict resolution, and on-device vector search – with no extra extensions or fees required.
Yes. Couchbase Lite has built-in on-device vector search, enabling semantic search and RAG features in mobile and IoT apps – even without an internet connection.
Couchbase Lite supports iOS, Android, Linux, .NET, cross-platform, embedded devices via C/C++ API, and web browsers via JavaScript, covering virtually every mobile and edge platform.
Couchbase Lite syncs automatically with Couchbase Server via Sync Gateway and supports peer-to-peer sync between devices, with built-in conflict resolution throughout.
Check out our developer portal to explore NoSQL, browse resources, and get started with tutorials.
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