9 个仓库
Awesome GitHub RepositoriesComplex Data Structure Stores
Storage engines that natively support lists, sets, and sorted sets alongside simple key-values.
Distinct from Complex Data Modeling: Existing candidates focus on data transformation, views, or modeling rather than the native provision of multiple collection types.
Explore 9 awesome GitHub repositories matching data & databases · Complex Data Structure Stores. Refine with filters or upvote what's useful.
Awesome Complex Data Structure Stores GitHub Repositories
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- microsoft/garnet
microsoft/garnet
11,885在 GitHub 上查看Garnet is a multi-threaded in-memory database and distributed key-value store. It functions as a high-performance remote cache store that implements the RESP wire protocol to maintain compatibility with existing Redis clients and libraries. The project is distinguished by a shared-memory architecture that enables parallel request processing across multiple cores for sub-millisecond latency. It features a tiered storage system that automatically offloads colder data from system memory to SSD or cloud storage layers, and includes a specialized vector search database for high-dimensional similar
Natively supports diverse data structures including sorted sets, lists, bitmaps, and geospatial indexes.
C#cachecache-storagecluster - attic-labs/noms
attic-labs/noms
7,422在 GitHub 上查看Noms is a distributed version control database and content-addressable data store. It identifies data by cryptographic hashes to ensure integrity and deduplication, while tracking dataset state changes through a sequence of immutable commits to enable branching, forking, and historical recovery. The system functions as a peer-to-peer data synchronizer, reconciling state between disconnected database instances to ensure all nodes converge on the same data. It distinguishes itself as a schema-flexible document store that supports self-describing types, allowing schemas to evolve and widen as ne
Manages organized information using complex types like lists and structs supported by atomic transactions.
Go - hazelcast/hazelcast
hazelcast/hazelcast
6,570在 GitHub 上查看Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis
Supports storage of data in various distributed structures to ensure high availability.
Javabig-datacachingdata-in-motion - aalhour/c-sharp-algorithms
aalhour/c-sharp-algorithms
6,159在 GitHub 上查看该项目是一个 C# 算法库和数据结构集合。它作为计算机科学参考，提供经典排序、搜索和图遍历模式的实用实现。 该库包括一个专门的字符串处理工具包，用于分析文本相似度、计算编辑距离和管理基于前缀的搜索。它还具有用于建模网络关系和计算最短路径的图论实现。 代码库涵盖了广泛的能力，包括线性及分层集合的管理、树数据操作和可视化，以及数学数值序列的计算。
Implements storage engines that natively support complex types like trees, heaps, and graphs.
C# - apache/pinot
apache/pinot
6,098在 GitHub 上查看Pinot is a distributed, columnar analytical database designed for high-concurrency, low-latency query processing. It functions as a real-time OLAP datastore, enabling interactive, user-facing analytics by ingesting and querying massive datasets from both streaming and batch sources. The system architecture relies on a centralized controller for cluster coordination and a distributed segment-based storage model to ensure horizontal scalability. The platform distinguishes itself through a hybrid ingestion pipeline that unifies real-time event streams and historical batch data into a single quer
Automatically unnests nested collections and maps into primitive columns during ingestion to enable standard SQL operations like grouping and ordering.
Java - ledisdb/ledisdb
ledisdb/ledisdb
4,119在 GitHub 上查看LedisDB 是一个用 Go 语言构建的分布式 NoSQL 键值存储。它作为一个高性能数据库服务器，使用可插拔的存储引擎持久化简单值、计数器和复杂数据结构。 该系统实现了 Redis 协议以保持与现有客户端库和驱动程序的兼容性，同时还提供了一个通过 JSON、BSON 或 msgpack 格式公开数据库功能的 HTTP 接口。它包含一个嵌入式虚拟机，用于执行自定义服务器端 Lua 脚本以进行复杂操作。 该平台通过主节点和从节点之间的数据复制支持高可用性。其功能涵盖了多种数据结构，包括哈希、集合和有序集合，以及批量写入、数据过期和数据库访问控制等功能。
Persists complex data structures including hashes, sets, and sorted sets.
Gogolanggoleveldbledisdb - siddontang/ledisdb
siddontang/ledisdb
4,119在 GitHub 上查看Ledisdb 是一个用 Go 编写的高性能 NoSQL 数据库服务器。它作为一个键值存储系统，支持复杂的数据结构，并利用持久化磁盘存储来管理超出系统内存容量的数据量。 该系统既可作为独立服务器，也可作为嵌入式引擎库直接集成到 Go 二进制文件中。它具备可脚本化的数据存储功能，能够执行服务器端 Lua 脚本以实现原子操作，并提供用于数据交换的 HTTP API，支持 JSON、BSON 和 msgpack 序列化。 该数据库包含主从节点间分布式数据复制的功能，以确保高可用性。它还实现了用于自动删除数据的过期时间（TTL）机制、用于请求安全的身份验证，以及用于修复损坏数据文件的维护工具。
Implements a storage engine that natively supports complex types like sets and lists using persistent disk storage.
Go - kuzudb/kuzu
kuzudb/kuzu
3,965在 GitHub 上查看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
Organizes multiple values of the same data type into ordered lists or fixed-size arrays for efficient storage.
C++cypherdatabaseembeddable - nutsdb/nutsdb
nutsdb/nutsdb
3,554在 GitHub 上查看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
Organizes data using lists, sets, and sorted sets to handle diverse storage and retrieval requirements.
Godata-structuresdatabasego
