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DBMS > ArangoDB

ArangoDB Systemeigenschaften

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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
Punkte5,37
Rang#70  Overall
#11  Document Stores
#3  Graph DBMS
#10  Key-Value Stores
#8  Suchmaschinen
Websitewww.arangodb.com
Technische Dokumentationwww.arangodb.com/­docs/­stable
EntwicklerArangoDB Inc.
Erscheinungsjahr2012
Aktuelle Version3.7.2.1, September 2020
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

One Engine. One Query Language. Multiple Data Models.

ArangoDB is an open source native multi-model database designed to store data natively as key-value pairs, graphs and JSON documents that can be accessed with one declarative query language - AQL. With a ArangoDB you can build high-performance applications and scale horizontally using all three data models to their full extent. Developers want to use the right data models and access patterns for their use cases. 

Before native multi-model and ArangoDB this meant juggling multiple database technologies and query languages not to mention handling data consistency across databases not meant to talk to each other. ArangoDB lets you access the very same data from different perspective and allows even the combination of data models and access patterns in the very same query, e.g. graph traversal -> search -> aggregation. This approach offers a very high data modeling flexibility.

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 Deplyoment: 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 9000 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 leading graph database for the forth successive time on G2Crowd.

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

ArangoML Series: Intro to the NetworkX Adapter
23. November 2020

ArangoML Part 4: Detecting Covariate Shift in Datasets
5. November 2020

ArangoML Part 3: Bootstrapping and Bias Variance
24. Oktober 2020

ArangoML Part 2: Basic Arangopipe Workflow
9. Oktober 2020

ArangoML Part 1: Where Graphs and Machine Learning Meet
25. September 2020

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Weitere Ressourcen
ArangoDB
DB-Engines Blog Posts

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

alle anzeigen

Erwähnungen in aktuellen Nachrichten

ArangoDB Named to Accel Open100 and Tracxn Emerging Startups 2020
12. November 2020, PR Web

Document Databases Software Market Future Scope including key players MongoDB, Amazon, ArangoDB
30. November 2020, Cheshire Media

Graph, machine learning, hype, and beyond: ArangoDB open source multi-model database releases version 3.7
27. August 2020, ZDNet

Global Operational Database Management Systems (OPDBMS) Software Market Expected To Reach Highest CAGR By 2026: Oracle, Microsoft, SAP SE, IBM, Amazon Web Services etc.
30. November 2020, Khabar South Asia

Key Value Database Market to see Huge Growth by 2025| Key Players – The Apache Software Foundation, Memcached, Redis Labs, Couchbase, Amazon Web Services (AWS)
30. November 2020, The Haitian-Caribbean News Network

bereitgestellt von Google News

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