Open-source alternatives to Tinydb

This project is a distributed, document-oriented database system designed to store information in flexible, hierarchical structures. It supports horizontal scaling through automated sharding and maintains high availability across global clusters using a multi-node replication protocol. By executing multi-document operations as atomic units, the system ensures data integrity and consistency across distributed environments. The platform distinguishes itself by integrating advanced vector-based indexing, which enables semantic similarity searches alongside traditional geospatial and lexical quer

This project is a reactive, offline-first NoSQL database engine designed for JavaScript applications. It provides a robust framework for managing application state by synchronizing data across browsers, mobile devices, and server-side runtimes. By treating local storage as the primary source of truth, it enables applications to remain functional without network connectivity, automatically reconciling changes with remote backends once a connection is restored. The database distinguishes itself through a modular architecture that supports cross-environment synchronization and high-performance d

RavenDB is a multi-model NoSQL document database designed for high-performance, ACID-compliant data storage. It persists structured information as schema-flexible JSON documents and utilizes a unit-of-work session pattern to track entity changes and batch modifications into atomic transactions. The platform is built on a distributed architecture that supports horizontal scaling through sharding and ensures high availability via multi-node, master-to-master cluster replication. The database distinguishes itself through a self-optimizing query engine that automatically creates and maintains ind

DuckDB is an in-process analytical database engine designed to run directly within an application process. As a zero-dependency, embedded system, it provides enterprise-grade SQL data processing capabilities without the overhead of managing a dedicated database server. It is built to handle complex analytical and aggregation tasks by storing and retrieving information in columns, allowing for high-performance relational data manipulation. The engine distinguishes itself through a columnar vectorized execution model that maximizes CPU cache efficiency during query operations. It employs adapti

Kùzu is an embedded property graph database engine designed for high-performance analytical queries and local data management. It operates as a library within the host application process, utilizing a columnar-based storage architecture and just-in-time query compilation to execute complex graph traversals and pattern matching efficiently. By mapping database files directly into system memory, it ensures data durability and high-speed access while maintaining ACID-compliant transactional integrity. The engine distinguishes itself by integrating vector similarity search and full-text search di

SQLite is a serverless relational database engine and C-based library that stores data in a single local disk file. It functions as an embedded SQL database, integrating directly into applications without the need for a separate server process. The engine includes specialized capabilities for full-text search indexing and spatial data querying using R-Tree structures for geographic or geometric coordinate ranges. The system provides broad support for SQL data manipulation, database recovery and repair, and change tracking for synchronizing modifications between databases. It also features a

Chroma is a specialized vector database designed to index and retrieve high-dimensional data representations for semantic similarity search. It functions as a comprehensive platform for information retrieval, enabling the storage and management of unstructured documents alongside structured metadata. By mapping data into numerical representations, the system facilitates rapid similarity lookups across large datasets. The platform distinguishes itself through a hybrid search infrastructure that combines dense vector embeddings with sparse keyword and regular expression matching to balance sema

node-sqlite3 is a relational database client and a set of native bindings that allow Node.js applications to interact with SQLite databases. It functions as a C++ native addon, linking JavaScript to the SQLite C library to manage data stored in local files or in-memory stores. The project includes optional support for SQLCipher, enabling page-level encryption to secure local database files. The driver covers a wide range of database management capabilities, including executing SQL queries with parameter binding, managing connections to database files, and preparing statements for repeated ex

electron-store is a persistence layer and key-value storage solution for Electron applications. It manages user preferences and application state by saving and retrieving structured data as JSON files on the local file system. The library includes capabilities for obfuscating configuration files to prevent manual modification of saved data. It also provides a system for automatic data structure migration when the application version is incremented and supports custom serialization pipelines to replace standard JSON parsing. The project covers a broad surface of state management, including sc

LibSQL is a high-performance, distributed SQL database engine that extends SQLite to support remote network access, edge computing, and real-time synchronization. It functions as an embedded database library that integrates directly into application processes while providing the infrastructure to maintain consistency across multiple geographic regions. The platform distinguishes itself by enabling database interaction over standard HTTP protocols, allowing applications to query remote data sources in serverless and edge environments without requiring local filesystem access. It includes nativ

LiteDB is a serverless NoSQL document store and embedded database engine for .NET applications. It persists unstructured documents and binary data into a single standalone disk file, allowing the database to run within the application process rather than as a separate server. The system supports strongly typed queries through Language Integrated Query and allows the execution of standard SQL commands for data retrieval and transformation. It provides native mapping of plain classes into document formats and secures stored information via symmetric-key file encryption. The engine includes cap

Electron JSON Storage is a utility for persisting and retrieving JavaScript objects as JSON files on the local filesystem within desktop applications. It functions as a wrapper for managing local configuration files, allowing developers to save and retrieve user preferences and application settings to maintain state across multiple sessions. The library distinguishes itself by providing both asynchronous non-blocking operations and synchronous fallback methods for data access. It manages data through key-value mapping, where unique string identifiers are translated into specific file paths, a

Couchbase Lite for iOS is an embedded NoSQL database engine designed for native mobile and desktop applications. It functions as a library within the application process, providing local document storage and structured querying capabilities that allow software to remain fully functional and responsive without an active internet connection. The library distinguishes itself through a replication engine that synchronizes local database changes with a central server to maintain consistent state across multiple devices. This synchronization process utilizes a delta-based protocol to transmit only

Pebble is an embedded key-value storage engine written in Go, designed as a library that provides durable, write-optimized data persistence directly within applications. It organizes data using a log-structured merge-tree (LSM-tree) structure, where writes are first buffered in an in-memory skiplist memtable and persisted to a write-ahead log before being flushed to block-based SSTable files on disk. The engine supports atomic batch commits, configurable write synchronization, and automatic background compaction that merges and rewrites sorted runs to reclaim space and maintain read performanc

RoseDB is an embedded key-value database and log-structured storage engine. It functions as a library-based database that runs within an application process to provide local data persistence without the need for a separate database server. The project implements a Bitcask-style store, utilizing an append-only log format to maximize write throughput and minimize seek time. It ensures data consistency by grouping multiple read and write operations into single atomic units. The storage architecture relies on an in-memory key index for constant-time lookups and uses segment-based file management

ClickHouse is a high-performance, columnar analytical database designed for real-time query execution and large-scale data aggregation. It functions as a distributed data warehouse capable of processing petabytes of information, while also providing an embedded engine that integrates directly into applications for native query capabilities without external dependencies. The system is built to handle high-throughput ingestion and complex analytical workloads, delivering millisecond-level latency for interactive dashboards and operational monitoring. The platform distinguishes itself through ad

Dragonfly is a high-performance, multi-model in-memory data store designed to serve as a drop-in replacement for existing database infrastructures. By utilizing a multi-threaded, shared-nothing architecture and a fiber-based concurrency model, it maximizes CPU utilization and minimizes latency for read and write operations. The system supports a wide range of data structures, including strings, hashes, lists, sets, sorted sets, and JSON documents, while maintaining full compatibility with standard industry wire protocols and client libraries. What distinguishes Dragonfly is its focus on effic

LMCache is a distributed key-value cache manager and tiering system designed to accelerate large language model inference. It functions as a tiered storage layer that offloads tensors from GPU memory to CPU RAM, local disks, or remote object stores, enabling the reuse of cached prefixes across different inference sessions and serving engines. The system differentiates itself through a disaggregated prefill-decode model, which separates prompt processing from token generation by transferring caches between distributed compute nodes. It utilizes peer-to-peer orchestration to share and retrieve

Ledisdb is a high-performance NoSQL database server written in Go. It functions as a key-value store that supports complex data structures and utilizes persistent disk storage to manage data volumes that exceed system memory capacity. The system is designed as both a standalone server and an embeddable engine library that integrates directly into Go binaries. It features a scriptable data store that executes server-side Lua scripts for atomic operations and provides an HTTP API for data exchange using JSON, BSON, and msgpack serialization. The database includes capabilities for distributed d

Cozo is a logic-based database engine that functions as a relational data store, an embedded graph database, and a temporal vector database. It utilizes a Datalog-inspired query language to execute relational, recursive, and graph queries. The system distinguishes itself through specialized indexing for high-dimensional vector similarity searches and near-duplicate detection using locality sensitive hashing. It also provides built-in temporal versioning, allowing for historical state retrieval and time-travel queries to access data as it existed at specific points in time. Its broader capabi

LanceDB is a vector database and columnar data store designed to function as a versioned dataset manager and vector search engine. It serves as a high-performance backend for indexing and retrieving high-dimensional embeddings, providing the foundation for machine learning data pipelines. The system distinguishes itself through a combination of cloud-native object storage and immutable version tracking, allowing for data time-travel and reproducible AI experiments. It integrates hybrid search capabilities, merging dense vector similarity with BM25 full-text search and SQL-like scalar filters

Levelup is a sorted key-value storage system that saves and retrieves data using byte arrays as keys and values. It provides a compatibility layer for Node.js and browsers that offers a unified interface for storage backends compliant with a specific abstract standard. The project features an atomic batch write engine to execute multiple write and delete operations as a single unit for data consistency. It includes a range-based data streamer for reading keys and values as continuous sequences and an event-driven storage monitor to track asynchronous updates and state changes. The system cov

Hocuspocus is a backend framework designed to facilitate real-time collaborative editing and state synchronization in web applications. It functions as a server-side infrastructure that manages persistent WebSocket connections, enabling multiple users to edit shared documents simultaneously while maintaining data consistency through a conflict-free replicated data type engine. The platform distinguishes itself through a modular, middleware-driven architecture that allows developers to intercept document lifecycle events, enforce custom access control policies, and integrate external services.

ToyDB is a distributed SQL database that provides a system for storing and querying data across multiple nodes. It focuses on maintaining strong consistency and fault tolerance through the implementation of a distributed consensus algorithm. The project distinguishes itself by supporting historical data versioning, enabling time-travel queries to retrieve the state of the database from a specific point in the past. It utilizes multi-version concurrency control to manage ACID transactions and ensure data integrity during concurrent operations. The system covers relational data modeling with t

ShardingSphere is a distributed SQL database middleware that provides sharding, read-write splitting, and distributed transaction management for relational databases. It functions as a layer that intercepts SQL queries to distribute data across multiple physical database instances for horizontal scaling. The project is distinguished by its ability to operate as either a standalone transparent database proxy or via direct integration as a JDBC driver. It features a SQL dialect translator that parses queries into abstract syntax trees to convert syntax between different database engines, enabli

Embedded key-value store for read-heavy workloads written in Go

C++ client library for ClickHouse