30 open-source projects similar to rosedblabs/rosedb, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Rosedb alternative.
RocksDB is a high-performance, embeddable persistent key-value library and storage engine based on Log-Structured Merge-trees. It is designed to provide durable storage for large-scale datasets, integrating directly into applications to manage data on flash and RAM-based hardware. The engine is distinguished by its focus on minimizing read and write amplification through multi-threaded compaction and custom memory allocators. It features specialized optimizations for flash storage, including support for zoned block devices, and provides the ability to extend store behavior via external plugin
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
LevelDB is an embedded database library and persistent storage engine that provides a sorted key-value store. It uses a log-structured merge-tree architecture to map byte arrays to values, running directly within a process to provide storage without the need for a separate server process. The system is distinguished by its use of custom comparison functions to define key ordering, enabling efficient range scans and sequenced lookups. It ensures data reliability through atomic batch execution, consistent snapshot generation, and log-based recovery after failures. The engine covers broad capab
Sled is an embedded key-value store and ACID-compliant database designed for high-performance data persistence. It functions as a log-structured storage engine that organizes data using B+ trees to support efficient range queries and prefix scans. The engine implements a zero-copy data store model, utilizing epoch-based reclamation to provide direct references to cached values without memory allocations. It distinguishes itself through a combination of write-ahead logging, page cache optimizations to reduce write amplification on flash storage, and serializable transactions for atomic multi-k
This project is a feature-rich Go client library designed for interacting with Redis. It serves as a comprehensive interface for managing remote data stores, enabling developers to execute standard database commands, handle complex data structures, and perform asynchronous operations within Go applications. The library distinguishes itself through its support for advanced Redis capabilities, including connection pooling, pipelining, and transactional integrity. It provides specialized primitives for managing distributed clusters, including automated topology updates and request routing to sha
Redis is a high-performance in-memory key-value store that functions as a distributed cache, message broker, and NoSQL database. It provides sub-millisecond read and write access to data stored in RAM and can operate as a vector database for indexing high-dimensional embeddings. The system supports a wide range of data storage and synchronization primitives, including the management of strings, hashes, lists, sets, and JSON documents. It enables real-time data operations through atomic transactions, hybrid persistence using snapshots and append-only logs, and high-availability configurations
React Native AsyncStorage is a persistent key-value storage library designed for React Native applications. It provides a unified local storage interface that works identically on both iOS and Android, ensuring saved data remains available across app restarts and when the device has no network connectivity. The library uses an asynchronous background I/O queue to handle all storage operations without blocking the JavaScript thread, communicating with native storage engines through React Native's bridge protocol. It includes a serialization layer that converts JavaScript values to strings for
Olric is a distributed data grid and in-memory key-value store that partitions and replicates data across a cluster of servers. It serves as a shared memory system for managing distributed maps, performing atomic operations, and acting as an in-memory data cache. The system provides a distributed locking mechanism for concurrency control and a pub-sub messaging system that broadcasts and routes messages over named channels across the cluster. The platform covers wide-ranging capabilities including cluster management and orchestration, data replication with configurable quorums, and automated
Badger is an embeddable key-value store written in Go that provides persistent data storage for byte keys and values. It is a persistent database that utilizes a tiered LSM tree storage model to optimize disk storage and retrieval efficiency. The system features an ACID transaction engine that ensures data integrity through serializable snapshot isolation and multi-version concurrency control. It also provides an encrypted key-value store with data-at-rest encryption and a managed encrypted key registry to secure stored information. The engine covers a broad set of capabilities including hig
Sui is a blockchain platform featuring an object-centric state model and resource-oriented smart contracts. It utilizes parallel transaction execution to increase network throughput and supports programmable transaction blocks that bundle multiple operations into single atomic units. The platform distinguishes itself with a capability-based access control system and zero-knowledge login mechanisms, enabling users to authenticate via identity providers without seed phrases. It also implements deterministic object addressing to allow predictable state lookups and supports the creation of soulbo
DiceDB is a distributed cache manager and hierarchical storage engine based on a Valkey key-value store. It functions as a high-availability key-value cluster that balances performance and cost by distributing data across memory and disk tiers. The system supports working sets larger than available RAM by persisting evicted keys to disk and restoring them on demand. It also includes a real-time query subscription system that notifies clients when data matching specific criteria is updated. The project provides distributed cache coordination through master node health monitoring and quorum-ba
NutsDB is an ACID-compliant, embedded transactional storage engine that functions as both a disk-backed key-value store and an in-memory data structure store. It provides atomic and serializable transactions with commit and rollback capabilities to ensure strict data consistency for applications requiring a lightweight persistence layer. The engine distinguishes itself by supporting a variety of complex data types, including lists, sets, and sorted sets, alongside standard byte-slice storage. It implements a transactional storage model featuring hot backups and a compaction algorithm to maint
bbolt is an ACID-compliant embedded key-value store for Go applications. It persists all data in a single memory-mapped file on disk, organizing information using B+ trees to facilitate sorted key iteration and efficient range queries. The project distinguishes itself through a hierarchical data organization model, allowing buckets to be nested within other buckets to create a tree-like structure. It employs a single-writer, multi-reader locking mechanism and copy-on-write transactions to ensure serializable isolation and data integrity. The system includes comprehensive data management capa
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
BuntDB is an embedded key-value store for Go applications, providing in-memory storage with optional disk persistence. It structures data using a B-tree for ordered key-value access and an R-tree for spatial indexing, allowing both range scans and geometric intersection queries. Support for indexing on nested JSON document fields enables efficient lookups by values within JSON objects, and per-key time-to-live (TTL) expiration automatically removes stale entries. The store uses copy-on-write transaction isolation, ensuring each transaction sees a consistent snapshot and changes are applied at
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
Redka is a SQL-backed key-value store that implements a Redis-compatible interface. It acts as a relational data bridge, translating non-relational protocol commands into relational queries to provide persistence and ACID transactions using a SQL database backend. The system allows for relational data introspection by exposing internal key-value data as SQL views, enabling direct querying and analysis via relational syntax. It can be deployed as a standalone network server or as an embedded library within a Go application. The project supports a variety of data structures, including strings,
TiKV is a distributed transactional key-value store designed for horizontal scalability and high availability. It functions as a storage engine that maintains massive datasets across a cluster of physical nodes, ensuring that information remains accessible and consistent even when individual hardware components fail. The system utilizes a consensus-based replication model to synchronize data across nodes, ensuring that all replicas agree on the order of operations. It manages data distribution through a sharding mechanism that partitions large datasets into smaller groups, each governed by in
goleveldb is an embedded key-value storage database for Go. It provides local data persistence and indexing, allowing applications to store and retrieve information using unique keys without requiring a separate server. The database organizes data using a log-structured merge-tree and persistent indexing in lexicographical order. This structure supports efficient range scans and prefix-based searches. The system includes capabilities for atomic batch writes to ensure data consistency and avoid partial updates. Performance is managed through write-ahead logging, memory-based buffering, and bl
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
MMKV is a high-performance, cross-platform key-value storage framework designed for mobile platforms and POSIX environments, including Android, iOS, macOS, and Windows. It provides a persistence layer that utilizes memory-mapped files and binary serialization to achieve low-latency data access. The project distinguishes itself through native support for multi-process synchronization, allowing concurrent read and write operations across different application processes. It also implements security via AES encryption for data at rest, featuring symmetric encryption and key rotation to protect st
Hive is a lightweight NoSQL key-value database written in pure Dart for local data persistence. It functions as a type-safe document store that allows for the saving and retrieval of complex data structures and custom objects. The system distinguishes itself through the use of custom adapters for object serialization and symmetric-key encryption to secure data at rest. For web environments, it provides a persistence layer that wraps IndexedDB and utilizes web workers. The project covers broad capability areas including container management, atomic transactional writes, and indexed data retri
FASTER is a high-throughput key-value store that combines an in-memory data store with a hybrid memory-disk storage engine, enabling datasets larger than available RAM. It uses a latch-free, cache-optimized index for concurrent point lookups and heavy updates, and records all mutations to a persistent append-only log on disk with checksum validation and group-commit checkpointing for crash recovery. The system supports multi-key transactional workloads through atomic multi-key locking, ensuring transactional consistency without coarse-grained contention. It exposes the key-value store to remo
Bolt is a single-file embedded key-value store for Go applications. It is an ACID transactional database that organizes data in B+trees on disk to provide efficient sorted key retrieval and range scans. The system uses a memory-mapped model to map the database file directly into the process address space for fast random-access reads. The project distinguishes itself through a multi-version concurrency control architecture that allows multiple simultaneous readers to access a consistent snapshot of data without blocking a writer. It employs a single-writer multi-reader locking model and uses a
Store.js is a client-side state persistence library and web storage abstraction layer. It provides a consistent browser key-value storage wrapper that manages the persistence of application state across sessions using the most capable available local storage mechanism. The engine is extensible, allowing for the integration of custom storage backends and plugins to modify how data is read and written. It functions as a reactive web storage manager, monitoring specific keys to trigger notifications when stored values are updated. The library handles automatic data serialization for complex typ
redb is an embedded key-value store and ACID-compliant storage engine. It functions as a persistent storage system for saving and retrieving data as key-value pairs within a tree structure. The engine is built as an MVCC transactional database, utilizing multi-version concurrency control to manage simultaneous reads and writes without blocking. It employs a single-writer multi-reader model to ensure data consistency while allowing multiple threads to access the store. The system provides persistent state management and atomic transaction management to prevent data corruption during crashes.
localForage is a browser storage wrapper and key-value store that provides a unified JavaScript API for persisting data. It acts as an abstraction layer over IndexedDB, WebSQL, and localStorage, allowing web applications to save data offline. The library features a priority-based driver fallback system that automatically detects and selects the most capable storage engine available in the browser. It simplifies data management by providing an asynchronous interface for storing complex JavaScript objects and binary buffers without requiring manual serialization. The project covers broad capab
This project is an educational codebase and asynchronous network implementation of a Redis-compatible server and client. It serves as a demonstration of the Tokio asynchronous runtime, providing a networked key-value store and a messaging system. The project implements the Redis Serialization Protocol to communicate between clients and servers using byte streams. It features a pub-sub messaging system that allows clients to subscribe to named channels and receive real-time updates. The implementation covers asynchronous network programming, including concurrent TCP connection handling and by
Dice is a low-latency key-value store based on Valkey that functions as a hierarchical storage engine. It combines a high-speed memory store with a tiered cache system to manage data across multiple storage levels. The system extends memory capacity by implementing a disk-backed cache that automatically persists evicted items to disk and restores them during cache misses. This storage tiering balances retrieval speed and operational cost by distributing data between fast memory and slower disk storage. The engine includes a query subscription service that monitors specific data patterns and
node-redis is a Node.js client and database driver for interacting with Redis key-value stores. It functions as a connection manager and data iterator, allowing applications to execute database commands and manage atomic transactions on a remote server using asynchronous JavaScript. The project provides specialized capabilities for handling large datasets through an asynchronous interface and supports connection pooling to isolate blocking operations. It includes support for client-side caching and token-based authentication via Entra ID. The driver covers a broad range of operational areas,