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DBMS > Amazon Neptune vs. atoti vs. Google Cloud Spanner vs. Microsoft Azure Data Explorer vs. Stardog

Vergleich der Systemeigenschaften Amazon Neptune vs. atoti vs. Google Cloud Spanner vs. Microsoft Azure Data Explorer vs. Stardog

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon Neptune  Xaus Vergleich ausschliessenatoti  Xaus Vergleich ausschliessenGoogle Cloud Spanner  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenStardog  Xaus Vergleich ausschliessen
KurzbeschreibungFast, reliable graph database built for the cloudAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A 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.Fully managed big data interactive analytics platformEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primäres DatenbankmodellGraph DBMS
RDF Store
Object oriented DBMSRelational DBMSRelational DBMS infocolumn orientedGraph DBMS
RDF Store
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
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte2,29
Rang#113  Overall
#9  Graph DBMS
#5  RDF Stores
Punkte0,61
Rang#243  Overall
#10  Object oriented DBMS
Punkte2,84
Rang#100  Overall
#51  Relational DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte2,07
Rang#122  Overall
#11  Graph DBMS
#6  RDF Stores
Websiteaws.amazon.com/­neptuneatoti.iocloud.google.com/­spannerazure.microsoft.com/­services/­data-explorerwww.stardog.com
Technische Dokumentationaws.amazon.com/­neptune/­developer-resourcesdocs.atoti.iocloud.google.com/­spanner/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.stardog.com
EntwicklerAmazonActiveViamGoogleMicrosoftStardog-Union
Erscheinungsjahr2017201720192010
Aktuelle Versioncloud service with continuous releases7.3.0, Mai 2020
Lizenz infoCommercial or Open Sourcekommerziellkommerziell infofree versions availablekommerziellkommerziellkommerziell info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinjajanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaJava
Server BetriebssystemegehostetgehostetgehostetLinux
macOS
Windows
DatenschemaschemafreijaFixed schema with schema-less datatypes (dynamic)schema-free and OWL/RDFS-schema support
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjanein infoImportieren/Exportieren von XML Daten möglich
Sekundärindizesneinjaall fields are automatically indexedja infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLneinMultidimensional Expressions (MDX)ja infoQuery statements complying to ANSI 2011Kusto Query Language (KQL), SQL subsetYes, compatible with all major SQL variants through dedicated BI/SQL Server
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
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Unterstützte ProgrammiersprachenC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-seitige Scripts infoStored ProceduresneinPythonneinYes, possible languages: KQL, Python, Ruser defined functions and aggregates, HTTP Server extensions in Java
Triggersneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infovia event handlers
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineSharding, horizontal partitioningShardingSharding infoImplicit feature of the cloud servicekeine
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.ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source Replikation in HA-Cluster
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinja infousing Google Cloud DataflowSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency in HA-Cluster
Fremdschlüssel inforeferenzielle Integritätja infoRelationships in graphsja infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityneinja infoBeziehungen in Graphen
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACID infoStrict serializable isolationneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjayes, multi-version concurrency control (MVCC)jajaja
Durability infoDauerhafte Speicherung der Datenja infowith encyption-at-restjajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinneinja
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)Azure Active Directory AuthenticationZugriffsrechte für Benutzer und Rollen

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Weitere Ressourcen
Amazon NeptuneatotiGoogle Cloud SpannerMicrosoft Azure Data ExplorerStardog
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