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DBMS > Amazon Neptune vs. eXtremeDB vs. GridGain vs. InfluxDB vs. Rockset

Vergleich der Systemeigenschaften Amazon Neptune vs. eXtremeDB vs. GridGain vs. InfluxDB vs. Rockset

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon Neptune  Xaus Vergleich ausschliesseneXtremeDB  Xaus Vergleich ausschliessenGridGain  Xaus Vergleich ausschliessenInfluxDB  Xaus Vergleich ausschliessenRockset  Xaus Vergleich ausschliessen
KurzbeschreibungFast, reliable graph database built for the cloudNatively in-memory DBMS with options for persistency, high-availability and clusteringGridGain is an in-memory computing platform, built on Apache IgniteDBMS for storing time series, events and metricsA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primäres DatenbankmodellGraph DBMS
RDF Store
Relational DBMS
Time Series DBMS
Key-Value Store
Relational DBMS
Time Series DBMSDocument Store
Sekundäre DatenbankmodelleSpatial DBMS infowith GEO packageRelational DBMS
Suchmaschine
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte2,20
Rang#119  Overall
#9  Graph DBMS
#5  RDF Stores
Punkte0,74
Rang#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Punkte1,47
Rang#154  Overall
#26  Key-Value Stores
#72  Relational DBMS
Punkte25,83
Rang#28  Overall
#1  Time Series DBMS
Punkte0,79
Rang#211  Overall
#35  Document Stores
Websiteaws.amazon.com/­neptunewww.mcobject.comwww.gridgain.comwww.influxdata.com/­products/­influxdb-overviewrockset.com
Technische Dokumentationaws.amazon.com/­neptune/­developer-resourceswww.mcobject.com/­docs/­extremedb.htmwww.gridgain.com/­docs/­index.htmldocs.influxdata.com/­influxdbdocs.rockset.com
EntwicklerAmazonMcObjectGridGain Systems, Inc.Rockset
Erscheinungsjahr20172001200720132019
Aktuelle Version8.2, 2021GridGain 8.5.12.7.6, April 2024
Lizenz infoCommercial or Open SourcekommerziellkommerziellkommerziellOpen Source infoMIT-License; commercial enterprise version availablekommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinneinneinja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC und C++Java, C++, .NetGoC++
Server BetriebssystemegehostetAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
OS X infothrough Homebrew
gehostet
Datenschemaschemafreijajaschemafreischemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaNumeric data and Stringsdynamic typing
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinnein infosupport of XML interfaces availablejaneinnein infoingestion from XML files supported
Sekundärindizesneinjajaneinall fields are automatically indexed
SQL infoSupport of SQLneinja infowith the option: eXtremeSQLANSI-99 for query and DML statements, subset of DDLSQL-like query languageRead-only SQL queries, including JOINs
APIs und andere ZugriffskonzepteOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
.NET Client API
JDBC
JNI
ODBC
Proprietäres Protokoll
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Propriätäres Protokoll
RESTful HTTP API
Spring Data
HTTP API
JSON over UDP
HTTP REST
Unterstützte ProgrammiersprachenC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Java
Lua
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Go
Java
JavaScript (Node.js)
Python
Server-seitige Scripts infoStored Proceduresneinjayes (compute grid and cache interceptors can be used instead)neinnein
Triggersneinja infoby defining eventsyes (cache interceptors and events)neinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkeinehorizontale Partitionierung / shardingShardingSharding infoin enterprise version onlyAutomatic sharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Active Replication Fabric™ for IoT
Multi-Source Replikation infoby means of eXtremeDB Cluster option
Source-Replica Replikation infoby means of eXtremeDB High Availability option
yes (replicated cache)frei wählbarer Replikationsfaktor infoin enterprise version onlyja
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinyes (compute grid and hadoop accelerator)neinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Fremdschlüssel inforeferenzielle Integritätja infoRelationships in graphsjaneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDACIDneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjaja infoOptimistic (MVCC) and pessimistic (locking) strategies availablejajaja
Durability infoDauerhafte Speicherung der Datenja infowith encyption-at-restjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaja infoDepending on used storage engine
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Security Hooks for custom implementationsEinfache Rechteverwaltung mit BenutzeraccountsAccess rights for users and organizations can be defined via Rockset console
Weitere Informationen bereitgestellt vom Systemhersteller
Amazon NeptuneeXtremeDBGridGainInfluxDBRockset
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» mehr
InfluxData is the creator of InfluxDB , the open source time series database. It...
» mehr
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» mehr
Time to Value InfluxDB is available in all the popular languages and frameworks,...
» mehr
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» mehr
IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» mehr
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» mehr
InfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» mehr
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» mehr
Fastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» mehr
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» mehr
Open source core with closed source clustering available either on-premise or on...
» mehr
Neuigkeiten

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2. Mai 2024

The Final Frontier: Using InfluxDB on the International Space Station
30. April 2024

Getting the Current Time in C#: A Guide
26. April 2024

Sync Data from InfluxDB v2 to v3 With the Quix Template
8. April 2024

Infrastructure Monitoring Basics: Getting Started with Telegraf, InfluxDB, and Grafana
5. April 2024

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Weitere Ressourcen
Amazon NeptuneeXtremeDBGridGainInfluxDBRockset
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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