Официальный Плагины Базы данных

ArangoDB

Установка
docker run arangodb (см. README)

Описание

ArangoDB — мультимодельная база данных: документы, графовые связи и пары ключ-значение хранятся в одном движке, единый язык запросов AQL покрывает все модели, встроенный движок графов с обходами и pattern-matching, транзакции ACID, горизонтальное масштабирование кластером, Foxx-микросервисы внутри базы, ArangoSearch с полнотекстовым и векторным поиском. Один сервер вместо связки document store + graph database.

Что умеет:
— хранить документы, графы и KV;
— запрашивать все модели одним AQL;
— масштабироваться кластером;
— искать полнотекстово и по векторам.

Полная документация ниже — автоматически из репозитория arangodb/arangodb (ветка main). Оригинальные материалы проекта распространяются на условиях его лицензии.

A stylized avocado half and the company name

ArangoDB

ArangoDB is a scalable graph database system to drive value from connected data,
faster. Native graphs, an integrated search engine, and JSON support, via a
single query language. ArangoDB runs on-prem, in the cloud – anywhere.

ArangoDB Cloud Service

The Arango Managed Platform (AMP) is the
simplest way to run ArangoDB. You can create deployments on all major cloud
providers in many regions with ease.

Getting Started

For the impatient:

  • Test ArangoDB in the cloud with AMP for free.

  • Alternatively, download and install ArangoDB.
    Start the server arangod if the installer did not do it for you.

    Or start ArangoDB in a Docker container:

    docker run -d -e ARANGO_ROOT_PASSWORD=test123 -p 8529:8529 arangodb
    

    Then point your browser to http://127.0.0.1:8529/.

Key Features of ArangoDB

Native Graph – Store both data and relationships, for faster queries even
with multiple levels of joins and deeper insights that simply aren’t possible
with traditional relational and document database systems.

Document Store – Every node in your graph is a JSON document:
flexible, extensible, and easily imported from your existing document database.

ArangoSearch – Natively integrated cross-platform indexing, text-search and
ranking engine for information retrieval, optimized for speed and memory.

ArangoDB is available in a free and fully featured Community Edition as well
as an Enterprise Edition for commercial use and without a dataset size limit.

Core Features

  • Horizontal scalability: Seamlessly shard your data across multiple machines.
  • High availability and resilience: Replicate data to multiple cluster
    nodes, with automatic failover.
  • Flexible data modeling: Model your data as combination of key-value pairs,
    documents, and graphs as you see fit for your application.
  • Work schema-free or use schema validation for data consistency.
    Store any type of data – date/time, geo-spatial, text, nested.
  • Powerful query language (AQL) to retrieve and modify data – from simple
    CRUD operations, over complex filters and aggregations, all the way to joins,
    graphs, and ranked full-text search.
  • Transactions: Run queries on multiple documents or collections with
    optional transactional consistency and isolation.
  • Fast access to your data: Fine-tune your queries with a variety of index
    types for optimal performance. ArangoDB is written in C++ and can handle even
    very large datasets efficiently.
  • Easy to use web interface and command-line tools for interaction
    with the server.

Scalability Features

Focus on solving enterprise-scale problems for mission critical workloads using
secure graph data. ArangoDB offers special features for performance, compliance,
and security, as well as advanced query capabilities.

  • Smartly shard and replicate graphs and datasets with features like
    EnterpriseGraphs, SmartGraphs, and SmartJoins for lightning fast
    query execution.
  • Combine the performance of a single server with the resilience of a cluster
    setup using OneShard deployments.
  • Create incremental Hot Backups without downtime.
  • Enable highly secure work with Encryption 360, enhanced Data Masking,
    and detailed Auditing.
  • Perform parallel graph traversals.
  • Use ArangoSearch search highlighting and nested search for advanced
    information retrieval.

Latest Release

Packages for all supported platforms can be downloaded from
https://arango.ai/downloads/.

For what’s new in ArangoDB, see the Release Notes in the
Documentation.

Stay in Contact