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DBMS > ArangoDB vs. Fauna vs. Milvus vs. Vertica

Vergleich der Systemeigenschaften ArangoDB vs. Fauna vs. Milvus vs. Vertica

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Redaktionelle Informationen bereitgestellt von DB-Engines
NameArangoDB  Xaus Vergleich ausschliessenFauna infopreviously named FaunaDB  Xaus Vergleich ausschliessenMilvus  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
KurzbeschreibungNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.A DBMS designed for efficient storage of vector data and vector similarity searchesCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primäres DatenbankmodellDocument Store
Graph DBMS
Key-Value Store
Suchmaschine
Document Store
Graph DBMS
Relational DBMS
Time Series DBMS
Vektor DBMSRelational DBMS infoColumn oriented
Sekundäre DatenbankmodelleSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte3,30
Rang#82  Overall
#14  Document Stores
#5  Graph DBMS
#10  Key-Value Stores
#10  Suchmaschinen
Punkte1,55
Rang#143  Overall
#26  Document Stores
#13  Graph DBMS
#66  Relational DBMS
#13  Time Series DBMS
Punkte3,01
Rang#89  Overall
#4  Vektor DBMS
Punkte9,62
Rang#42  Overall
#26  Relational DBMS
Websitearangodb.comfauna.commilvus.iowww.vertica.com
Technische Dokumentationdocs.arangodb.comdocs.fauna.commilvus.io/­docs/­overview.mdvertica.com/­documentation
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
EntwicklerArangoDB Inc.Fauna, Inc.OpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr2012201420192005
Aktuelle Version3.11.5, November 20232.4.4, Mai 202412.0.3, Jänner 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablekommerziellOpen Source infoApache Version 2.0kommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinnein infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ArangoDB Cloud –The Managed Cloud Service of ArangoDB. 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.Zilliz Cloud – Cloud-native service for Milvus
ImplementierungsspracheC++ScalaC++, GoC++
Server BetriebssystemeLinux
OS X
Windows
gehostetLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Datenschemaschemafrei infoInnerhalb einer Collection wird das Schema automatisch erkanntschemafreiYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typisierung infovordefinierte Datentypen, z.B. float oder dateja infostring, double, boolean, list, hashneinVector, Numeric and Stringyes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinnein
SekundärindizesjajaneinNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLneinneinneinFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere ZugriffskonzepteAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
RESTful HTTP APIRESTful HTTP APIADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Unterstützte ProgrammiersprachenC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored ProceduresJavaScriptbenutzerdefinierte Funktionenneinyes, PostgreSQL PL/pgSQL, with minor differences
Triggersneinneinneinyes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoAb Version 2.0horizontale Partitionierung infoconsistent hashingShardinghorizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-replica replication with configurable replication factorMulti-Source ReplikationMulti-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoBietet ein API für Map/Reduce Operationennein infoMöglich über stored procedures in JavaScriptneinneinno infoBi-directional Spark integration
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)
Immediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätja inforelationships in graphsjaneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjanein
Berechtigungskonzept infoZugriffskontrollejaIdentity management, authentication, and access controlRole based access control and fine grained access rightsfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
ArangoDBFauna infopreviously named FaunaDBMilvusVertica infoOpenText™ Vertica™
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» mehr
Milvus is an open-source and cloud-native vector database built for production-ready...
» mehr
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» mehr
Highly available, versatile, and robust with millisecond latency. Supports batch...
» mehr
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» mehr
RAG: retrieval augmented generation Video media : video understanding, video deduplication....
» mehr
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» mehr
Milvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» mehr
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» mehr
As of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» mehr
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» mehr
Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» mehr

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Weitere Ressourcen
ArangoDBFauna infopreviously named FaunaDBMilvusVertica infoOpenText™ Vertica™
DB-Engines Blog Posts

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

alle anzeigen

Vector databases
2. Juni 2023, Matthias Gelbmann

alle anzeigen

Erwähnungen in aktuellen Nachrichten

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ArangoDB 3.5 update improves multi-model database platform
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