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DBMS > Amazon Neptune vs. Microsoft Azure Data Explorer vs. SingleStore vs. Stardog vs. Tibero

Vergleich der Systemeigenschaften Amazon Neptune vs. Microsoft Azure Data Explorer vs. SingleStore vs. Stardog vs. Tibero

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon Neptune  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSingleStore infoformer name was MemSQL  Xaus Vergleich ausschliessenStardog  Xaus Vergleich ausschliessenTibero  Xaus Vergleich ausschliessen
KurzbeschreibungFast, reliable graph database built for the cloudFully managed big data interactive analytics platformMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA secure RDBMS, designed for easy portability from Oracle
Primäres DatenbankmodellGraph DBMS
RDF Store
Relational DBMS infocolumn orientedRelational DBMSGraph DBMS
RDF Store
Relational DBMS
Sekundäre DatenbankmodelleDocument Store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Suchmaschine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Document Store
Spatial DBMS
Time Series DBMS
Vektor DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte2,29
Rang#113  Overall
#9  Graph DBMS
#5  RDF Stores
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte5,38
Rang#62  Overall
#35  Relational DBMS
Punkte2,07
Rang#122  Overall
#11  Graph DBMS
#6  RDF Stores
Punkte1,59
Rang#148  Overall
#68  Relational DBMS
Websiteaws.amazon.com/­neptuneazure.microsoft.com/­services/­data-explorerwww.singlestore.comwww.stardog.comus.tmaxsoft.com/­products/­tibero
Technische Dokumentationaws.amazon.com/­neptune/­developer-resourcesdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.singlestore.comdocs.stardog.comtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
EntwicklerAmazonMicrosoftSingleStore Inc.Stardog-UnionTmaxSoft
Erscheinungsjahr20172019201320102003
Aktuelle Versioncloud service with continuous releases8.5, Jänner 20247.3.0, Mai 20206, April 2015
Lizenz infoCommercial or Open Sourcekommerziellkommerziellkommerziell infofree developer edition availablekommerziell info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentskommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjajaneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
ImplementierungsspracheC++, GoJavaC and Assembler
Server BetriebssystemegehostetgehostetLinux info64 bit version requiredLinux
macOS
Windows
AIX
HP-UX
Linux
Solaris
Windows
DatenschemaschemafreiFixed schema with schema-less datatypes (dynamic)jaschema-free and OWL/RDFS-schema supportja
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjaneinnein infoImportieren/Exportieren von XML Daten möglichja
Sekundärindizesneinall fields are automatically indexedjaja infosupports real-time indexing in full-text and geospatialja
SQL infoSupport of SQLneinKusto Query Language (KQL), SQL subsetyes infobut no triggers and foreign keysYes, compatible with all major SQL variants through dedicated BI/SQL Serverja
APIs und andere ZugriffskonzepteOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Unterstützte ProgrammiersprachenC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Bash
C
C#
Java
JavaScript (Node.js)
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-seitige Scripts infoStored ProceduresneinYes, possible languages: KQL, Python, Rjauser defined functions and aggregates, HTTP Server extensions in JavaPersistent Stored Procedure (PSM)
Triggersneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinja infovia event handlersja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineSharding infoImplicit feature of the cloud serviceSharding infohash partitioningkeinehorizontale Partitionierung infoby range, hash, list or composite
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.ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikation infostores two copies of each physical data partition on two separate nodesMulti-Source Replikation in HA-ClusterMulti-Source Replikation
Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce OperationenneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein infocan define user-defined aggregate functions for map-reduce-style calculationsneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätja infoRelationships in graphsneinneinja infoBeziehungen in Graphenja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinACIDACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajayes, multi-version concurrency control (MVCC)jaja
Durability infoDauerhafte Speicherung der Datenja infowith encyption-at-restjaja infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.jaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjajanein infoplanned for next version
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Azure Active Directory AuthenticationFine grained access control via users, groups and rolesZugriffsrechte für Benutzer und RollenBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard (SQL 92, SQL 99)
Weitere Informationen bereitgestellt vom Systemhersteller
Amazon NeptuneMicrosoft Azure Data ExplorerSingleStore infoformer name was MemSQLStardogTibero
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» mehr
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» mehr
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» mehr
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» mehr
Market metricsCustomers in various industries worldwide including US and International Industry...
» mehr
Licensing and pricing modelsF ree Tier and Enterprise Edition
» mehr

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Weitere Ressourcen
Amazon NeptuneMicrosoft Azure Data ExplorerSingleStore infoformer name was MemSQLStardogTibero
DB-Engines Blog Posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17. Oktober 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9. Juni 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14. Februar 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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