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🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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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 ArangoGraph Insights Platform 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 ArangoGraph 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 -e ARANGO_ROOT_PASSWORD=test123 -p 8529:8529 -d 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 open-source Community Edition, as well as a commercial Enterprise Edition with additional features.

Community Edition 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.
  • Data-centric microservices: Unify your data storage logic, reduce network overhead, and secure sensitive data with the ArangoDB Foxx JavaScript framework.
  • 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.

Enterprise Edition features

Focus on solving enterprise-scale problems for mission critical workloads using secure graph data. The Enterprise Edition has all the features of the Community Edition and offers additional features for performance, compliance, and security, as well as further 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.
  • Increase fault tolerance with Datacenter-to-Datacenter Replication and and 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://www.arangodb.com/download/.

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

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🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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