# Multi-Model Databases

> Search results for `multi-model database that mixes graph, document and key-value` on awesome-repositories.com. 116 total matches; showing the first 50.

Explore on the web: https://awesome-repositories.com/q/multi-model-database-that-mixes-graph-document-and-key-value

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## Results

- [dragonflydb/dragonfly](https://awesome-repositories.com/repository/dragonflydb-dragonfly.md) (30,688 ⭐) — 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
- [dokploy/dokploy](https://awesome-repositories.com/repository/dokploy-dokploy.md) (34,901 ⭐) — Dokploy is a self-hosted platform-as-a-service designed to simplify the deployment and management of containerized applications and databases. It provides a centralized control plane that decouples administrative management from application workloads, allowing users to oversee infrastructure across multiple server nodes through a unified web interface or a command-line tool.

The platform distinguishes itself through an extensive library of pre-configured application templates, enabling the rapid deployment of databases, identity providers, and various productivity or development tools. It sup
- [arangodb/arangodb](https://awesome-repositories.com/repository/arangodb-arangodb.md) (14,091 ⭐) — This project is a multi-model database system designed to store and manage information as documents, graphs, and key-value pairs within a single engine. It functions as a graph database and knowledge graph platform, providing the infrastructure to build, query, and visualize structured data models. By integrating vector search capabilities, the system serves as a vector database that supports retrieval-augmented generation for artificial intelligence applications.

The platform distinguishes itself through a unified query language that allows users to perform document lookups, graph traversals
- [datahub-project/datahub](https://awesome-repositories.com/repository/datahub-project-datahub.md) (12,141 ⭐) — DataHub is a metadata management platform designed to unify technical, operational, and business context across diverse data ecosystems. By utilizing a graph-based metadata model and an event-driven ingestion architecture, it creates a centralized source of truth that maps complex data relationships, lineage, and ownership. This foundational framework enables organizations to maintain a synchronized view of their data landscape, supporting both human-led discovery and automated data operations.

The platform distinguishes itself through its focus on grounding artificial intelligence and autono
- [orta/cocoapods-keys](https://awesome-repositories.com/repository/orta-cocoapods-keys.md) (1,550 ⭐) — A key value store for storing per-developer environment and application keys
- [filamentphp/filament](https://awesome-repositories.com/repository/filamentphp-filament.md) (31,215 ⭐) — Filament is a full-stack framework for building administrative panels and management interfaces within the Laravel ecosystem. It provides a declarative, component-based architecture that allows developers to construct complex, data-driven applications using server-side configuration objects rather than manual HTML. By inspecting database model structures and relationships, the framework automates the generation of CRUD interfaces, forms, and data tables, significantly reducing boilerplate code.

The project distinguishes itself through a highly modular and extensible design that supports custo
- [shekhargulati/52-technologies-in-2016](https://awesome-repositories.com/repository/shekhargulati-52-technologies-in-2016.md) (7,311 ⭐) — This project serves as a comprehensive educational repository and technical reference collection, documenting a wide range of software engineering practices and modern development technologies. It provides a structured learning path for developers, curating tutorials and practical examples that cover the full lifecycle of application development, from initial project scaffolding to deployment and maintenance.

The repository distinguishes itself by offering deep technical insights into complex architectural patterns, including actor-based concurrency models for managing parallel tasks and cont
- [aider-ai/aider](https://awesome-repositories.com/repository/aider-ai-aider.md) (46,305 ⭐) — Aider is a command-line interface tool that enables large language models to directly edit, refactor, and manage source code within a local repository. It functions as an AI-powered coding assistant that integrates into the developer workflow, allowing users to apply code changes through natural language prompts while maintaining repository context and version control.

The tool distinguishes itself through a specialized diff-based patching engine that parses model-generated search-and-replace blocks to modify specific file segments without rewriting entire files. It features a provider-agnost
- [alubj/lock-and-key](https://awesome-repositories.com/repository/alubj-lock-and-key.md) (10 ⭐) — String and file encryption in GameMaker
- [wistbean/learn_python3_spider](https://awesome-repositories.com/repository/wistbean-learn-python3-spider.md) (21,802 ⭐) — This project is a comprehensive educational guide and framework for building web scrapers using Python. It provides a course-based approach to data extraction, combining a Python crawler framework with tutorials on web reverse engineering and network traffic analysis.

The project distinguishes itself by covering advanced extraction challenges, including the decryption of obfuscated JavaScript and the bypass of anti-scraping measures. It specifically addresses mobile application scraping through the simulation of user interactions and the interception of network traffic.

The capability surfac
- [codenotary/immudb](https://awesome-repositories.com/repository/codenotary-immudb.md) (8,982 ⭐) — immudb is a tamperproof database that maintains an immutable record of entries using cryptographic commit logging. It ensures verifiable database integrity by utilizing Merkle trees to generate membership and consistency proofs that detect unauthorized data alterations.

The system employs a multi-model storage engine that unifies key-value, document, and relational data structures within a single immutable backend. It provides compatibility with the PostgreSQL wire protocol, allowing it to integrate with standard SQL clients, ORMs, and database tools.

The project covers broad capabilities in
- [go-mix/mix](https://awesome-repositories.com/repository/go-mix-mix.md) (0 ⭐)
- [d2l-ai/d2l-en](https://awesome-repositories.com/repository/d2l-ai-d2l-en.md) (29,001 ⭐) — This project is an educational platform and research toolkit designed to teach deep learning through a combination of mathematical theory, visual diagrams, and executable code. It provides a comprehensive environment for building, training, and evaluating neural networks, grounding complex concepts in interactive computational notebooks that allow for hands-on experimentation.

The framework distinguishes itself by interleaving theoretical foundations—including linear algebra, calculus, and probability—with practical implementations across multiple industry-standard libraries. It supports flex
- [surrealdb/surrealdb](https://awesome-repositories.com/repository/surrealdb-surrealdb.md) (32,397 ⭐) — SurrealDB is a multi-model database engine designed to store and query document, graph, relational, and vector data within a single ACID-compliant platform. It functions as an AI-native data store, integrating vector search, graph traversal, and machine learning model execution directly into its query layer. By providing a unified declarative query language, the platform eliminates the need for external middleware to synchronize data across different storage models.

The platform distinguishes itself through its ability to manage agent memory and complex workflows natively. It allows developer
- [brendangregg/flamegraph](https://awesome-repositories.com/repository/brendangregg-flamegraph.md) (19,307 ⭐) — FlameGraph is a performance profiling and visualization toolkit designed to identify bottlenecks in software execution. It functions as a processing engine that transforms raw stack trace samples into interactive, hierarchical diagrams. By representing aggregated execution frequency as nested rectangles, the tool allows developers to visualize hot code paths and analyze system behavior across both kernel and user-space environments.

The project distinguishes itself through its ability to perform differential profile analysis, which highlights performance regressions or improvements by compari
- [cosmicmind/graph](https://awesome-repositories.com/repository/cosmicmind-graph.md) (873 ⭐) — Graph is a semantic database that is used to create data-driven applications.
- [deepspeedai/deepspeed](https://awesome-repositories.com/repository/deepspeedai-deepspeed.md) (42,528 ⭐) — DeepSpeed is a high-performance library designed to scale deep learning model training and inference across massive clusters of GPUs and compute nodes. It provides a comprehensive suite of tools for distributed training, enabling the execution of models that exceed the memory capacity of single devices through advanced parameter partitioning, pipeline-based model parallelism, and memory-efficient state offloading.

The framework distinguishes itself through specialized communication-efficient optimizers and hardware-aware acceleration techniques. By utilizing gradient compression, quantization
- [ma2gedev/mix-star](https://awesome-repositories.com/repository/ma2gedev-mix-star.md) (12 ⭐) — Elixir Mix task to starring GitHub repository with `mix deps.get`ting dependent library
- [f5/unovis](https://awesome-repositories.com/repository/f5-unovis.md) (2,730 ⭐) — Unovis is a modular SVG and Canvas data visualization library used to build interactive charts, maps, and network graphs. It provides a framework-agnostic set of primitives for creating data dashboards and specialized visualizations.

The library is distinguished by its dedicated toolkits for different visualization domains, including an XY charting library for coordinated plots, a network graph framework for relational data, and a geospatial visualization toolkit for TopoJSON-based mapping.

Its capability surface covers a wide range of data representations, including linear, area, and bar ch
- [documentationjs/documentation](https://awesome-repositories.com/repository/documentationjs-documentation.md) (5,798 ⭐) — Documentation.js is a multi-purpose documentation tool that parses JSDoc annotations from JavaScript and TypeScript source files to generate formatted API documentation. It functions as both a documentation generator and a JSDoc linter, scanning source code for non-standard or incorrect annotations and returning human-readable warnings to enforce documentation quality.

The tool operates through a pipeline-based architecture that parses JSDoc comments into an abstract syntax tree, validates annotations against style and correctness rules, and outputs documentation through interchangeable plugi
- [brendalf/mix.nvim](https://awesome-repositories.com/repository/brendalf-mix-nvim.md) (28 ⭐) — A Mix Wrapper for Neovim
- [axolotl-ai-cloud/axolotl](https://awesome-repositories.com/repository/axolotl-ai-cloud-axolotl.md) (12,059 ⭐) — Axolotl is a configuration-driven framework designed for the fine-tuning, evaluation, and quantization of large language models. It functions as a comprehensive orchestrator for distributed training, enabling users to manage complex workflows across multi-node and multi-GPU environments. By utilizing structured configuration files, the platform streamlines the setup of training parameters, dataset paths, and hardware distribution strategies.

The project distinguishes itself through its support for diverse training methodologies, including full-parameter tuning, parameter-efficient adaptation,
- [admol/systemdesign](https://awesome-repositories.com/repository/admol-systemdesign.md) (2,645 ⭐) — This project is a reference library of architectural blueprints, study materials, and design patterns for building scalable, high-availability distributed systems. It serves as a technical guide for scalability engineering, providing structural solutions for common engineering challenges.

The repository focuses on distributed systems design, covering essential patterns for data replication, consensus algorithms, and transaction management. It distinguishes itself by offering detailed blueprints for specialized domains, including real-time data streaming, large-scale data storage, and high-ava
- [postgresml/postgresml](https://awesome-repositories.com/repository/postgresml-postgresml.md) (6,801 ⭐) — PostgresML is a machine learning database extension for PostgreSQL that integrates model training and inference directly into the database. It functions as an in-database AI platform and vector database, enabling the execution of large language models and natural language processing tasks on stored records without exporting data to external services.

The system distinguishes itself by utilizing GPU acceleration to minimize latency during model predictions and employing a hybrid storage engine that maintains relational data alongside high-dimensional vectors. It allows for the building and fin
- [windofshadow/that](https://awesome-repositories.com/repository/windofshadow-that.md) (121 ⭐) — This repository contains the Pytorch implementation of the THAT methods in the following paper:
- [electric-sql/pglite](https://awesome-repositories.com/repository/electric-sql-pglite.md) (14,707 ⭐) — Pglite is a client-side relational database engine that runs a full-featured PostgreSQL instance directly within browser and Node.js environments. By leveraging WebAssembly, it provides a persistent SQL storage solution that enables complex data management and querying without requiring an external database server.

The project distinguishes itself through a reactive SQL data layer that automatically synchronizes user interface components with live query results. It manages database operations using worker threads to prevent main-thread blocking and coordinates access across multiple browser t
- [ishanvyas22/asset-mix](https://awesome-repositories.com/repository/ishanvyas22-asset-mix.md) (33 ⭐) — Provides integration with your CakePHP application & Laravel Mix.
- [dotnet/efcore](https://awesome-repositories.com/repository/dotnet-efcore.md) (14,587 ⭐) — Entity Framework Core is an object-relational mapper that enables developers to interact with database systems using strongly-typed code. It serves as a comprehensive data access framework, providing a unified interface for mapping application objects to relational and non-relational database schemas while managing the lifecycle of data operations through a central context.

The project distinguishes itself through a provider-based architecture that decouples core data access logic from specific database engines, allowing for consistent interaction across diverse storage systems. It features a
- [clockworklabs/spacetimedb](https://awesome-repositories.com/repository/clockworklabs-spacetimedb.md) (19,189 ⭐) — SpacetimeDB is a stateful, real-time database platform that executes application logic directly within the database engine. By unifying data storage and business logic, it allows developers to build applications where state transitions are processed through atomic, server-side functions. The platform maintains persistent connections to stream incremental updates to clients, ensuring that local caches remain synchronized with the server state at all times.

The platform distinguishes itself by generating type-safe client interfaces directly from server-side schema definitions, ensuring consiste
- [bytebytegohq/system-design-101](https://awesome-repositories.com/repository/bytebytegohq-system-design-101.md) (83,491 ⭐) — This project is a centralized engineering knowledge repository that provides a structured curriculum for mastering system design, architectural patterns, and fundamental software development workflows. It serves as a professional development resource for engineers, offering foundational knowledge and real-world case studies to support the design of scalable, secure, and efficient distributed systems.

The repository distinguishes itself through a visual-first approach to knowledge synthesis, distilling complex technical concepts into high-density graphical diagrams and succinct illustrations.
- [alco/mix-erlang-tasks](https://awesome-repositories.com/repository/alco-mix-erlang-tasks.md) (21 ⭐) — Common tasks for Erlang projects that use Mix
- [paritytech/scale-value](https://awesome-repositories.com/repository/paritytech-scale-value.md) (18 ⭐) — This crate provides a Value type, which is a runtime representation that is compatible with [scaleinfo::TypeDef][scale-info-typedef]. It somewhat analogous to a serdejson::Value, which is a runtime representation of JSON values, but with a focus on SCALE encoded values instead of JSON encoded…
- [django/django](https://awesome-repositories.com/repository/django-django.md) (87,878 ⭐) — Django is a full-stack web framework designed for rapid backend development. It provides an integrated environment for building data-driven applications by combining an object-relational mapping layer for database management with a modular request-response pipeline for handling HTTP traffic. The framework emphasizes security and maintainability, offering a suite of tools to protect against common web vulnerabilities while decoupling site structure from implementation through a centralized URL routing system.

A defining characteristic of the framework is its ability to generate production-read
- [zilliztech/gptcache](https://awesome-repositories.com/repository/zilliztech-gptcache.md) (8,068 ⭐) — GPTCache is a semantic caching layer and response optimizer for large language models. It functions as pluggable middleware for orchestration frameworks, utilizing vector database caching to store and retrieve model responses based on the semantic similarity of prompts rather than exact text matches.

The system uses embeddings to determine cache hits by comparing the distance between new queries and stored vectors. It employs a hybrid storage model that persists original prompts in relational databases while maintaining high-dimensional embeddings in vector stores.

The project covers a broad
- [r4fun/keys](https://awesome-repositories.com/repository/r4fun-keys.md) (48 ⭐) — status](https://github.com/r4fun/keys/workflows/R-CMD-check/badge.svg)](https://github.com/r4fun/keys/actions) status](https://www.r-pkg.org/badges/version/keys)](https://CRAN.R-project.org/package=keys)
- [hkuds/lightrag](https://awesome-repositories.com/repository/hkuds-lightrag.md) (36,651 ⭐) — LightRAG is a graph-based retrieval framework designed to build retrieval-augmented generation pipelines. It structures unstructured text into knowledge graphs, enabling multi-hop reasoning and complex query synthesis across large document collections. By integrating dense vector embeddings with structured knowledge graphs, the system facilitates both similarity-based and relationship-aware information retrieval.

The framework distinguishes itself through a dual-level retrieval strategy that combines low-level keyword matching with high-level semantic graph traversal to capture both specific
- [avelino/awesome-go](https://awesome-repositories.com/repository/avelino-awesome-go.md) (175,576 ⭐) — This project serves as a comprehensive language ecosystem index, functioning as a centralized, community-curated directory for the Go programming language. It organizes a vast landscape of software components, libraries, and development tools into a structured, navigable hierarchy, enabling developers to efficiently discover resources tailored to specific functional domains.

The repository distinguishes itself through a decentralized contribution model, where community-driven updates ensure the index remains current with the rapidly evolving software landscape. Beyond simple resource listing,
- [jonschlinkert/has-value](https://awesome-repositories.com/repository/jonschlinkert-has-value.md) (26 ⭐) — Returns true if a value exists, false if empty. Works with deeply nested values using object paths.
- [teivah/algodeck](https://awesome-repositories.com/repository/teivah-algodeck.md) (5,819 ⭐) — Algodeck is an open-source collection of flash cards designed for reviewing algorithms, data structures, and system design concepts, specifically curated for technical interview preparation. The project organizes knowledge into atomic question-and-answer pairs and incorporates spaced repetition scheduling to optimize long-term memory retention.

The flash card catalog covers a broad range of computer science topics, including classic sorting algorithms like quicksort and mergesort, data structure operations for arrays, trees, heaps, tries, and graphs, as well as bit manipulation techniques for
- [laravel-mix/laravel-mix](https://awesome-repositories.com/repository/laravel-mix-laravel-mix.md) (5,233 ⭐) — The power of webpack, distilled for the rest of us.
- [charlax/professional-programming](https://awesome-repositories.com/repository/charlax-professional-programming.md) (51,116 ⭐) — This project is a curated knowledge repository designed to support the professional development of software engineers. It functions as a comprehensive index of industry best practices, methodologies, and design principles, providing a structured roadmap for those seeking to improve their technical skills, architectural decision-making, and career trajectory.

The repository distinguishes itself through a community-driven approach, relying on peer-reviewed contributions to maintain an up-to-date collection of resources. It organizes vast amounts of technical information into a hierarchical taxo
- [dask/dask](https://awesome-repositories.com/repository/dask-dask.md) (13,746 ⭐) — Dask is a parallel computing framework and distributed task scheduler designed to scale Python data science workflows from single machines to large clusters. It functions as a cluster resource manager that orchestrates computational logic by representing tasks and their dependencies as directed acyclic graphs. This architecture allows the system to automate the distribution of workloads across available hardware while managing complex execution requirements.

The project distinguishes itself through a lazy evaluation engine that defers data operations until they are explicitly requested, enabl
- [citusdata/citus](https://awesome-repositories.com/repository/citusdata-citus.md) (12,562 ⭐) — Citus is a PostgreSQL extension that transforms a standard database into a distributed system. It functions as a sharding framework and distributed SQL engine, enabling horizontal scaling by partitioning tables across a cluster of nodes. By utilizing a coordinator-worker topology, the system manages metadata and routes queries to the appropriate nodes, allowing for parallel execution of complex operations across distributed data shards.

The platform distinguishes itself through its specialized support for multi-tenant architectures and real-time analytical processing. It enables tenant-based
- [neo4j/neo4j](https://awesome-repositories.com/repository/neo4j-neo4j.md) (15,928 ⭐) — Neo4j is a native graph database management system designed to store and query highly connected data using a property-graph model. It provides an ACID-compliant transaction engine that ensures data integrity, supported by a distributed cluster architecture that maintains causal consistency across nodes. Users interact with the system through a declarative query language, which allows for complex pattern matching and path traversal without requiring manual traversal logic.

The platform distinguishes itself through its hybrid approach to data retrieval, combining traditional graph-based queries
- [scala-graph/scala-graph](https://awesome-repositories.com/repository/scala-graph-scala-graph.md) (575 ⭐) — Graph for Scala is intended to provide basic graph functionality seamlessly fitting into the Scala Collection Library. Like the well known members of scala.collection, Graph for Scala is an in-memory graph library aiming at editing and traversing graphs, finding cycles etc. in a user-friendly way.
- [sindresorhus/object-values](https://awesome-repositories.com/repository/sindresorhus-object-values.md) (27 ⭐) — Get the values of an object
- [janusgraph/janusgraph](https://awesome-repositories.com/repository/janusgraph-janusgraph.md) (5,799 ⭐) — JanusGraph is a distributed, elastically scalable graph database designed to store and query highly connected data across a cluster of machines. It supports the property graph data model with ACID consistency and integrates multi-model search capabilities including geo, numeric range, and full-text queries. The database also includes a Graph OLAP engine for running batch analytics and global graph computations on large datasets using the Hadoop framework.

The project distinguishes itself through a masterless cluster architecture that eliminates single points of failure, allowing every node to
- [cube-js/cube](https://awesome-repositories.com/repository/cube-js-cube.md) (20,251 ⭐) — Cube is a semantic data layer that provides a unified framework for defining business metrics, dimensions, and relationships across diverse data sources. By acting as a headless business intelligence engine, it transforms raw data into a governed model that can be queried via SQL, REST, and GraphQL interfaces. This architecture ensures consistent data definitions and logic across all downstream analytical applications and reporting tools.

The platform distinguishes itself through its integrated conversational AI capabilities, which allow users to explore data using natural language. It orches
- [memgraph/memgraph](https://awesome-repositories.com/repository/memgraph-memgraph.md) (4,163 ⭐) — Memgraph is an in-memory, distributed graph database designed for high-performance labeled property graph management. It utilizes a Cypher query engine for declarative data retrieval and manipulation, providing a scalable knowledge graph backend that integrates vector search and graph traversals.

The system distinguishes itself as a real-time graph analytics platform, employing native C++ and CUDA implementations to execute complex network analysis and dynamic community detection on streaming data. It provides specialized support for AI integration, including GraphRAG capabilities, the constr
- [camel-ai/camel](https://awesome-repositories.com/repository/camel-ai-camel.md) (17,253 ⭐) — This project is a comprehensive framework for building and managing autonomous agent systems. It provides a unified architecture for orchestrating multi-agent societies, where specialized agents collaborate through roleplay to decompose and solve complex tasks. The system integrates language models with external environments, enabling agents to perform real-world actions through a standardized tool-calling abstraction layer.

The framework distinguishes itself through its focus on iterative reasoning and data reliability. It employs automated feedback loops to refine agent outputs and self-eva