Datascript

Datascript este un magazin de stare imutabil, în memorie, și un magazin de triplete bazat pe schemă. Gestionează starea aplicației ca o bază de date versionată, stocând datele ca fapte imutabile constând dintr-o entitate, atribut, valoare și tranzacție.

Proiectul oferă un motor logic pentru executarea interogărilor Datalog cu suport pentru join-uri implicite, reguli recursive și negație. De asemenea, dispune de un API declarativ de tip „pull” pentru preluarea grafurilor de entități profund imbricate și a structurilor de date conexe.

Baza de date impune integritatea datelor prin constrângeri bazate pe schemă și tipuri de atribute. Suportă tranzacții atomice, protocoale de stocare pluggable pentru persistență și indexarea atributelor B-tree pentru a optimiza căutările.

Sistemul este conceput pentru utilizare în medii Clojure, ClojureScript și JavaScript.

Features

Triple Stores - Implements a schema-based triple store using an EAVT model for flexible data representation.
Logic-Based Relational Querying - Provides a logic-based relational query engine using Datalog paradigms for Clojure and JavaScript environments.
Triple Stores - Implements a schema-based triple store using an EAVT model to manage immutable facts.
Nested Entity Retrieval - Extracts related data using a pull API that supports recursive exploration of entity graphs.
Application State Management - Provides centralized application state management using an immutable in-memory data store.
Schema-Enforced Triple Stores - Combines a triple store architecture with schema-driven constraints to ensure data integrity and optimize indexing.
Declarative Pull APIs - Provides a declarative pull API for retrieving deeply nested entity graphs and related data.
In-Memory Data Stores - Provides a high-performance in-memory data store for managing ephemeral application state.
In-Memory State Stores - Maintains application state in an immutable in-memory store to ensure low-latency interaction.
Logic Query Engines - Provides a logic query engine using Datalog to resolve complex data relationships through recursive rules and negation.
Entity Graph Fetching - Implements a declarative pull API to retrieve deeply nested entity graphs and related data structures.
Datalog Recursive Rules - Uses a Datalog engine to execute complex lookups including recursive rules and transitive closures.
Complex Search Querying - Supports advanced querying of application state using negation, disjunction, and recursive rules.
Graph Pull APIs - Offers a declarative pull API for extracting deeply nested entity graphs and customized result shapes.
Immutable Data Storage - Treats data as immutable values to create new database versions while preserving older ones.
Datomic-Style Immutable Stores - Implements a Datomic-style immutable store allowing for time-travel queries and consistent state snapshots.
EAVT Triple Stores - Implements a versioned database using an immutable EAVT (Entity-Attribute-Value-Transaction) triple store model.
Transactional State Versioning - Treats all data changes as additive to maintain a history of database snapshots via transactional state versioning.
Schema-Based Data Models - Enforces data integrity and lookup performance via schema-driven attribute types and unique identity constraints.
Atomic Transaction Execution - Supports grouping database updates into atomic transactions to ensure data consistency.
Database Schema Constraints - Enforces data integrity and lookup performance through defined attribute types and unique identity constraints.
Schema Querying - Allows finding entities that match specific attribute configurations by treating the schema definition as a queryable collection.
Database Transactions - Updates database state through atomic transactions supporting upserts and custom functions.
Custom Storage Implementations - Provides a protocol to route database reads and writes to custom external storage backends.
Pluggable Storage Engines - Decouples the in-memory database from the persistence layer through a pluggable storage engine interface.
B-Tree - Implements B-Tree attribute indexing to optimize value lookups and range queries within the state store.
B+ Tree Indexing - Utilizes B-tree indexing to speed up attribute lookups and range queries.
Incremental State Persistence - Minimizes storage overhead by persisting only modified portions of the database to the backend.
JavaScript Interoperability - Integrates with JavaScript engines to allow queries and transactions using standard arrays and objects.
Schema-Driven Validations - Validates data integrity and optimizes indexing by applying attribute types and uniqueness rules during transactions.
State Evolution Tracking - Records database changes to enable rewinding state and maintaining consistent snapshots.
Databases and Persistence - In-memory database and Datalog query engine.
Databases & Data - Immutable in-memory database with Datalog query capabilities.

Istoric stele

tonskydatascript

Name: tonsky/datascript
Author: tonsky

View on GitHub

5,767 stele317 fork-uriClojureEPL-1.05 vizualizări

Datascript

Sistemul este conceput pentru utilizare în medii Clojure, ClojureScript și JavaScript.

Features

Triple Stores - Implements a schema-based triple store using an EAVT model for flexible data representation.
Logic-Based Relational Querying - Provides a logic-based relational query engine using Datalog paradigms for Clojure and JavaScript environments.
Triple Stores - Implements a schema-based triple store using an EAVT model to manage immutable facts.
Nested Entity Retrieval - Extracts related data using a pull API that supports recursive exploration of entity graphs.
Application State Management - Provides centralized application state management using an immutable in-memory data store.
Schema-Enforced Triple Stores - Combines a triple store architecture with schema-driven constraints to ensure data integrity and optimize indexing.
Declarative Pull APIs - Provides a declarative pull API for retrieving deeply nested entity graphs and related data.
In-Memory Data Stores - Provides a high-performance in-memory data store for managing ephemeral application state.
In-Memory State Stores - Maintains application state in an immutable in-memory store to ensure low-latency interaction.
Logic Query Engines - Provides a logic query engine using Datalog to resolve complex data relationships through recursive rules and negation.
Entity Graph Fetching - Implements a declarative pull API to retrieve deeply nested entity graphs and related data structures.
Datalog Recursive Rules - Uses a Datalog engine to execute complex lookups including recursive rules and transitive closures.
Complex Search Querying - Supports advanced querying of application state using negation, disjunction, and recursive rules.
Graph Pull APIs - Offers a declarative pull API for extracting deeply nested entity graphs and customized result shapes.
Immutable Data Storage - Treats data as immutable values to create new database versions while preserving older ones.
Datomic-Style Immutable Stores - Implements a Datomic-style immutable store allowing for time-travel queries and consistent state snapshots.
EAVT Triple Stores - Implements a versioned database using an immutable EAVT (Entity-Attribute-Value-Transaction) triple store model.
Transactional State Versioning - Treats all data changes as additive to maintain a history of database snapshots via transactional state versioning.
Schema-Based Data Models - Enforces data integrity and lookup performance via schema-driven attribute types and unique identity constraints.
Atomic Transaction Execution - Supports grouping database updates into atomic transactions to ensure data consistency.
Database Schema Constraints - Enforces data integrity and lookup performance through defined attribute types and unique identity constraints.
Schema Querying - Allows finding entities that match specific attribute configurations by treating the schema definition as a queryable collection.
Database Transactions - Updates database state through atomic transactions supporting upserts and custom functions.
Custom Storage Implementations - Provides a protocol to route database reads and writes to custom external storage backends.
Pluggable Storage Engines - Decouples the in-memory database from the persistence layer through a pluggable storage engine interface.
B-Tree - Implements B-Tree attribute indexing to optimize value lookups and range queries within the state store.
B+ Tree Indexing - Utilizes B-tree indexing to speed up attribute lookups and range queries.
Incremental State Persistence - Minimizes storage overhead by persisting only modified portions of the database to the backend.
JavaScript Interoperability - Integrates with JavaScript engines to allow queries and transactions using standard arrays and objects.
Schema-Driven Validations - Validates data integrity and optimizes indexing by applying attribute types and uniqueness rules during transactions.
State Evolution Tracking - Records database changes to enable rewinding state and maintaining consistent snapshots.
Databases and Persistence - In-memory database and Datalog query engine.
Databases & Data - Immutable in-memory database with Datalog query capabilities.

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Întrebări frecvente

Ce face tonsky/datascript?

Care sunt principalele funcționalități ale tonsky/datascript?

Principalele funcționalități ale tonsky/datascript sunt: Triple Stores, Logic-Based Relational Querying, Nested Entity Retrieval, Application State Management, Schema-Enforced Triple Stores, Declarative Pull APIs, In-Memory Data Stores, In-Memory State Stores.

Care sunt câteva alternative open-source pentru tonsky/datascript?

Alternativele open-source pentru tonsky/datascript includ: cozodb/cozo — Cozo is a logic-based database engine that functions as a relational data store, an embedded graph database, and a… tporadowski/redis — Redis is a high-performance in-memory key-value store that functions as a distributed cache, message broker, and NoSQL… tinyplex/tinybase — TinyBase is a reactive data store and in-memory relational database designed for client-side state persistence. It… pubkey/rxdb — This project is a reactive, offline-first NoSQL database engine designed for JavaScript applications. It provides a… mystenlabs/sui — Sui is a blockchain platform featuring an object-centric state model and resource-oriented smart contracts. It… typedb/typedb — TypeDB is a strongly-typed graph database and knowledge graph management system. It serves as a multi-model data store…