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DBMS > Amazon Neptune vs. Google Cloud Spanner vs. InfluxDB vs. Memgraph vs. Microsoft Azure Cosmos DB

Vergleich der Systemeigenschaften Amazon Neptune vs. Google Cloud Spanner vs. InfluxDB vs. Memgraph vs. Microsoft Azure Cosmos DB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon Neptune  Xaus Vergleich ausschliessenGoogle Cloud Spanner  Xaus Vergleich ausschliessenInfluxDB  Xaus Vergleich ausschliessenMemgraph  Xaus Vergleich ausschliessenMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xaus Vergleich ausschliessen
KurzbeschreibungFast, reliable graph database built for the cloudA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.DBMS for storing time series, events and metricsAn open source graph database built for real-time streaming and compatible with Neo4jGlobally distributed, horizontally scalable, multi-model database service
Primäres DatenbankmodellGraph DBMS
RDF Store
Relational DBMSTime Series DBMSGraph DBMSDocument Store
Graph DBMS
Key-Value Store
Wide Column Store
Sekundäre DatenbankmodelleSpatial DBMS infowith GEO packageSpatial DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte2,20
Rang#119  Overall
#9  Graph DBMS
#5  RDF Stores
Punkte2,89
Rang#103  Overall
#52  Relational DBMS
Punkte25,83
Rang#28  Overall
#1  Time Series DBMS
Punkte3,02
Rang#98  Overall
#8  Graph DBMS
Punkte29,04
Rang#27  Overall
#4  Document Stores
#2  Graph DBMS
#3  Key-Value Stores
#3  Wide Column Stores
Websiteaws.amazon.com/­neptunecloud.google.com/­spannerwww.influxdata.com/­products/­influxdb-overviewmemgraph.comazure.microsoft.com/­services/­cosmos-db
Technische Dokumentationaws.amazon.com/­neptune/­developer-resourcescloud.google.com/­spanner/­docsdocs.influxdata.com/­influxdbmemgraph.com/­docslearn.microsoft.com/­azure/­cosmos-db
Social network pagesLinkedInTwitterFacebookGitHubDiscord
EntwicklerAmazonGoogleMemgraph LtdMicrosoft
Erscheinungsjahr20172017201320172014
Aktuelle Version2.7.6, April 2024
Lizenz infoCommercial or Open SourcekommerziellkommerziellOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoBSL 1.1; commercial license for enterprise edition availablekommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjajaneinneinja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheGoC und C++
Server BetriebssystemegehostetgehostetLinux
OS X infothrough Homebrew
Linuxgehostet
Datenschemaschemafreijaschemafreischemafrei und schema-optionalschemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaNumeric data and Stringsjaja infoJSON types
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinnein
Sekundärindizesneinjaneinja infoAll properties auto-indexed by default
SQL infoSupport of SQLneinja infoQuery statements complying to ANSI 2011SQL-like query languageneinSQL-like query language
APIs und andere ZugriffskonzepteOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HTTP API
JSON over UDP
Bolt protocol
Cypher query language
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Unterstützte ProgrammiersprachenC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-seitige Scripts infoStored ProceduresneinneinneinJavaScript
TriggersneinneinneinJavaScript
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineShardingSharding infoin enterprise version onlySharding infodynamic graph partitioningSharding infoImplizit im Cloud Service
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.Multi-source replication with 3 replicas for regional instances.frei wählbarer Replikationsfaktor infoin enterprise version onlyMulti-source replication using RAFTja infoImplizit im Cloud Service
MapReduce infoBietet ein API für Map/Reduce Operationenneinja infousing Google Cloud Dataflowneinneinwith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Fremdschlüssel inforeferenzielle Integritätja infoRelationships in graphsja infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityneinja inforelationships in graphsnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACID infoStrict serializable isolationneinACID infowith snapshot isolationMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajayes, multi-version concurrency control (MVCC)ja
Durability infoDauerhafte Speicherung der Datenja infowith encyption-at-restjajaja infowith periodic snapshot and write-ahead logging (WAL) of changesja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinja infoDepending on used storage engineja
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Einfache Rechteverwaltung mit BenutzeraccountsUsers, roles and permissionsZugriffsrechte bis auf item level einstellbar
Weitere Informationen bereitgestellt vom Systemhersteller
Amazon NeptuneGoogle Cloud SpannerInfluxDBMemgraphMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» mehr
Memgraph directly connects to your streaming infrastructure so you and your team...
» mehr
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» mehr
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» mehr
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» mehr
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» mehr
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» mehr
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» mehr
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» mehr
You can check out our pricing model and licenses on the company website .
» mehr
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Weitere Ressourcen
Amazon NeptuneGoogle Cloud SpannerInfluxDBMemgraphMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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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