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DBMS > ArangoDB

ArangoDB Systemeigenschaften

Bitte wählen Sie ein weiteres System aus, um es mit ArangoDB zu vergleichen.

Unsere Besucher vergleichen ArangoDB oft mit Neo4j, OrientDB und MongoDB.

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NameArangoDB
KurzbeschreibungNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.
Primäres DatenbankmodellDocument Store
Graph DBMS
Key-Value Store
Suchmaschine
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte5,55
Rang#73  Overall
#12  Document Stores
#4  Graph DBMS
#11  Key-Value Stores
#10  Suchmaschinen
Websitewww.arangodb.com
Technische Dokumentationwww.arangodb.com/­docs/­stable
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
EntwicklerArangoDB Inc.
Erscheinungsjahr2012
Aktuelle Version3.9.1, April 2022
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ArangoDB Oasis –The Managed Cloud Service of ArangoDB. Oasis provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.
ImplementierungsspracheC++
Server BetriebssystemeLinux
OS X
Windows
Datenschemaschemafrei infoInnerhalb einer Collection wird das Schema automatisch erkannt
Typisierung infovordefinierte Datentypen, z.B. float oder dateja infostring, double, boolean, list, hash
Sekundärindizesja
SQL infoSupport of SQLnein
APIs und andere ZugriffskonzepteAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
Unterstützte ProgrammiersprachenC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
Server-seitige Scripts infoStored ProceduresJavaScript
Triggersnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoAb Version 2.0
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-replica replication with configurable replication factor
MapReduce infoBietet ein API für Map/Reduce Operationennein infoMöglich über stored procedures in JavaScript
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency infoEinstellbar per collection oder per Write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Fremdschlüssel inforeferenzielle Integritätja inforelationships in graphs
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja
Durability infoDauerhafte Speicherung der Datenja
Berechtigungskonzept infoZugriffskontrolleja
Weitere Informationen bereitgestellt vom Systemhersteller
ArangoDB
Specific characteristics

Graph and Beyond.

With more than 11,000 stargazers on GitHub, ArangoDB is the leading open-source multi-model graph database. Powering the concept of ‘graph and beyond,’ ArangoDB combines the power of graphs with JSON documents, a key-value store, and a full-text search engine, enabling developers to access and combine all of these data models with a single, elegant, declarative query language. 

Gaining the ability to perform graph analytics queries while also reducing the number of database technologies used in production is valuable for developers, operations, and business teams. ArangoDB's native support of all of these data models, a search engine, a built-in microservices framework, and a large presence of community integrations result in development efforts spent on the product and not the tooling.

ArangoDB facilitates modern application development with the following features:

Multi-Model: Store data natively. Access data with the right patterns.

AQL: As a declarative query language, those coming from SQL will feel right at home with AQL. With AQL, you can use JOINs, traversals, filters, geo-spatial operations, and aggregations & combine them in a single query.

ArangoDB OASIS: The managed cloud for ArangoDB, provides fully hosted, managed, & monitored cluster deployments of any size, with enterprise-grade security. Everybody can test it with a free deployment

Easy Deployment: ArangoDB runs everywhere. Deployment is very easy with the ArangoDB Starter and as well on Kubernetes with the ArangoDB Operator

ArangoML: When building a production-grade machine learning infrastructure, ArangoML Pipeline provides support for common metadata storage.

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

Competitive advantages

Consolidation:  As a native multi-model database, can be used as a full blown document store, graph graph database, search engine or any combination of these technologies. If you need multiple data models, ArangoDB minimizes the components that you need to maintain, reducing the complexity of the technology stack for your application or usage. This means a lower total cost of ownership, increasing flexibility and consolidating your overall technical needs.

Strong Data Consistency: When using multiple single-model databases, data consistency becomes an issue. These databases aren’t meant to talk to each other, which means you need to implement some form of transaction functionality to keep your data consistent between different models. With ArangoDB, a single back-end manages your different data models with support for ACID transactions.

Simplified Performance Scaling: Applications grow and mature over time. With ArangoDB, you can easily react to growing performance and storage needs by independently scaling with different data models. ArangoDB scales both vertically and horizontally, and if your performance needs decrease, you can just as easily scale down your backend system to save on hardware and operational requirements.

Transactions: It is a real challenge to provide transactional guarantees across multiple machines and few NoSQL database provide these guarantees. As a native multi-model database, ArangoDB requires transactions to ensure data consistency.  ArangoDB provides strong ACID consistency on single instances and atomic single document operations when running in cluster mode.

Lower Total Cost of Ownership: Each database technology you use needs ongoing maintenance, patches, bug fixes and other modifications delivered by the vendor. Each new update has to be tested by a specialized team member and tested for their overall fit into the current system.  Using a multi-model database significantly reduces these maintenance costs as it allows you to reduce the number of database technologies you need for your application.

Typical application scenarios

Native multi-model in ArangoDB is being used for a broad range of projects across industries and company sizes. Single View of everything, cybersecurity, simulations in manufacturing, Identity & Access Management, Fraud detection, Recommendation Engines, Feature Engineering in Machine Learning & AI or Network Management & Surveillance are common use cases.

Single View of Everything - BA/BI Platform: Thomson Reuters leveraged ArangoDB to build a sophisticated ‘Single View of Everything’ BA/BI Platform. The case study provides insights to the following
- The requirements they had for the data store to build their BA/BI platform on
- Why the development team became “addicted” to the ArangoDB Query Language (AQL)
- How they leveraged Foxx, ArangoDB’s microservice framework, to reduce development time

Healthy Data Platform as a Service with ArangoDB: The Liaison technologies ALLOY™ Health Platform is a Data Platform as a Service (dPaaS) solution which was built using ArangoDB. In addition to using ArangoDB as a materialized view for customer data, ALLOY™ also makes extensive use of the system for metadata.

Enterprise-Level Digital Certificate and Cryptographic Key Management with ArangoDB:
Goal was to create a system that allowed for extremely complex data, secure storage and delivery, secure multitier access, massive scalability, robust recoverability, real time data, effectively zero downtime and many many thousands of cryptographic keys and digital certiticates. Leveraging existing cryptographic infrastructure, ArangoDB was used as the Source of Truth for associating certificates and key IDs with applications, servers, services, users, and use cases. Using custom web interface code, ArangoDB provides the support for the Registration Authority and Key/Certificate Management Authority in determining access rights and providing pro-active notifications of renewals, expirations, and rotations to interdependent users, servers, and services.

Many more production case studies can be viewed at : https://www.arangodb.com/why-arangodb/case-studies/

Key customers

Cisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip, Kaseware, Demonware, Brainhub, Oxford University, IC Manage, Actify and many more

Market metrics

ArangoDB is the leading native multi-model database with over 11,000 stargazers on Github, +7m downloads, and over 500 production installations. Customers include Fortune 10 and Fortune 500 companies. On Gartner Peer Insight ArangoDB is recognized as one of the highest-rated operational databases with 4.7/5 stars and got selected as the leading graph database for the fourth successive time on G2.

Licensing and pricing models

Very permissive Apache 2 License for Community Edition & commercial licenses are offered in ArangoDB Enterprise which provides unique scale out features, enterprise-grade security and 24/7 technical support. Contact us for details at www.arangodb.com/contact/

Neuigkeiten

April 2022: What’s the Latest with ArangoDB?
29. April 2022

Who’s Who in Data Science
14. April 2022

Integrate ArangoDB with PyTorch Geometric to Build Recommendation Systems
6. April 2022

March 2022: What’s the Latest with ArangoDB?
25. März 2022

Introducing the new ArangoDB Datasource for Apache Spark
8. März 2022

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Wir laden Vertreter von Anbietern von zugehörigen Produkten ein uns zu kontaktieren, um hier Informationen über ihre Angebote zu präsentieren.

Weitere Ressourcen
ArangoDB
DB-Engines Blog Posts

The Weight of Relational Databases: Time for Multi-Model?
29. August 2017, Luca Olivari (guest author)

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