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DBMS > Amazon DocumentDB vs. ArcadeDB vs. GridDB vs. InfluxDB vs. Vertica

Vergleich der Systemeigenschaften Amazon DocumentDB vs. ArcadeDB vs. GridDB vs. InfluxDB vs. Vertica

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon DocumentDB  Xaus Vergleich ausschliessenArcadeDB  Xaus Vergleich ausschliessenGridDB  Xaus Vergleich ausschliessenInfluxDB  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
KurzbeschreibungFast, scalable, highly available, and fully managed MongoDB-compatible database serviceFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenScalable in-memory time series database optimized for IoT and Big DataDBMS for storing time series, events and metricsCloud 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 StoreDocument Store
Graph DBMS
Key-Value Store
Time Series DBMS infoin next version
Time Series DBMSTime Series DBMSRelational DBMS infoColumn oriented
Sekundäre DatenbankmodelleKey-Value Store
Relational DBMS
Spatial DBMS infowith GEO packageSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,91
Rang#131  Overall
#24  Document Stores
Punkte0,10
Rang#358  Overall
#48  Document Stores
#38  Graph DBMS
#52  Key-Value Stores
#35  Time Series DBMS
Punkte2,09
Rang#120  Overall
#10  Time Series DBMS
Punkte24,39
Rang#28  Overall
#1  Time Series DBMS
Punkte10,06
Rang#42  Overall
#26  Relational DBMS
Websiteaws.amazon.com/­documentdbarcadedb.comgriddb.netwww.influxdata.com/­products/­influxdb-overviewwww.vertica.com
Technische Dokumentationaws.amazon.com/­documentdb/­resourcesdocs.arcadedb.comdocs.griddb.netdocs.influxdata.com/­influxdbvertica.com/­documentation
EntwicklerArcade DataToshiba CorporationOpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr20192021201320132005
Aktuelle VersionSeptember 20215.1, August 20222.7.6, April 202412.0.3, Jänner 2023
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache Version 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoMIT-License; commercial enterprise version availablekommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinneinneinnein 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.
ImplementierungsspracheJavaC++GoC++
Server BetriebssystemegehostetAlle Betriebssysteme mit einer Java VMLinuxLinux
OS X infothrough Homebrew
Linux
DatenschemaschemafreischemafreijaschemafreiYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja infonumerical, string, blob, geometry, boolean, timestampNumeric data and Stringsyes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinneinnein
SekundärindizesjajajaneinNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLneinSQL-like query language, no joinsSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languageFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere Zugriffskonzepteproprietary protocol using JSON (MongoDB compatible)JDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP/JSON API
HTTP API
JSON over UDP
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Unterstützte ProgrammiersprachenGo
Java
JavaScript (Node.js)
PHP
Python
JavaC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored Proceduresneinneinneinyes, PostgreSQL PL/pgSQL, with minor differences
Triggersneinjaneinyes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineShardingSharding infoin enterprise version onlyhorizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-Replica ReplikationSource-Replica Replikationfrei wählbarer Replikationsfaktor infoin enterprise version onlyMulti-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 infokann über Amazon Elastic MapReduce (Amazon EMR) realisiert werdenneinConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsneinno infoBi-directional Spark integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätnein infotypically not used, however similar functionality with DBRef possibleja inforelationship in graphsneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenAtomic single-document operationsACIDACID at container levelneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaja infoDepending on used storage enginenein
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and rolesAccess rights for users can be defined per databaseEinfache Rechteverwaltung mit Benutzeraccountsfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
Amazon DocumentDBArcadeDBGridDBInfluxDBVertica infoOpenText™ Vertica™
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» mehr
InfluxData is the creator of InfluxDB , the open source time series database. It...
» mehr
Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» mehr
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» mehr
Time to Value InfluxDB is available in all the popular languages and frameworks,...
» mehr
Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» mehr
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» mehr
IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» mehr
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» mehr
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» mehr
InfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» mehr
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» mehr
Market metricsGitHub trending repository
» mehr
Fastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» mehr
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» mehr
Open source core with closed source clustering available either on-premise or on...
» mehr
Cost-based models and subscription-based models are both available. One license is...
» mehr
Neuigkeiten

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Weitere Ressourcen
Amazon DocumentDBArcadeDBGridDBInfluxDBVertica infoOpenText™ Vertica™
DB-Engines Blog Posts

Why Build a Time Series Data Platform?
20. Juli 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4. Juli 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1. Juni 2015, Paul Andlinger

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