9 रिपॉजिटरी
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.
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.
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.
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.
यह प्रोजेक्ट एक C# एल्गोरिदम लाइब्रेरी और डेटा स्ट्रक्चर्स का संग्रह है। यह क्लासिक सॉर्टिंग, सर्चिंग और ग्राफ़ ट्रैवर्सल पैटर्न के व्यावहारिक इम्प्लीमेंटेशन प्रदान करने वाले कंप्यूटर साइंस संदर्भ के रूप में कार्य करता है। लाइब्रेरी में टेक्स्ट समानता का विश्लेषण करने, एडिट डिस्टन्स की गणना करने और प्रीफ़िक्स-आधारित खोजों को मैनेज करने के लिए एक समर्पित स्ट्रिंग प्रोसेसिंग टूलकिट शामिल है। इसमें नेटवर्क संबंधों को मॉडल करने और सबसे छोटे रास्तों की गणना करने के लिए एक ग्राफ़ थ्योरी इम्प्लीमेंटेशन भी है। कोडबेस क्षमताओं की एक विस्तृत श्रृंखला को कवर करता है, जिसमें लीनियर और पदानुक्रमित संग्रहों का प्रबंधन, ट्री डेटा मैनिपुलेशन और विज़ुअलाइज़ेशन, और गणितीय संख्यात्मक अनुक्रमों की गणना शामिल है।
Implements storage engines that natively support complex types like trees, heaps, and graphs.
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.
LedisDB is a distributed NoSQL key-value store built in Go. It functions as a high-performance database server that persists simple values, counters, and complex data structures using pluggable storage engines. The system implements the Redis protocol to maintain compatibility with existing client libraries and drivers, while also providing an HTTP interface that exposes database functions through JSON, BSON, or msgpack formats. It includes an embedded virtual machine to execute custom server-side Lua scripts for complex operations. The platform supports high availability through data replic
Persists complex data structures including hashes, sets, and sorted sets.
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
Implements a storage engine that natively supports complex types like sets and lists using persistent disk storage.
Godis is a distributed in-memory database engine written in Go that provides a high-performance, Redis-compatible key-value store. It is designed to manage complex data structures while supporting atomic transactions, data persistence, and real-time messaging patterns. The system distinguishes itself through its support for distributed clustering, which partitions data across multiple nodes to scale capacity and throughput. It incorporates geospatial indexing for proximity-based queries and utilizes a master-slave replication protocol to ensure high availability and read scalability across di
Provides native support for complex data structures like lists, hashes, and sets within an in-memory key-value store.
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.