DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Informationen zu relationalen und NoSQL DatenbankmanagementsystemenEin Service von solid IT

DBMS > Graph Engine vs. Microsoft Azure Data Explorer vs. Stardog vs. Vertica

Vergleich der Systemeigenschaften Graph Engine vs. Microsoft Azure Data Explorer vs. Stardog vs. Vertica

Bitte wählen Sie ein weiteres System aus, um es in den Vergleich aufzunehmen.

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGraph Engine infoformer name: Trinity  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenStardog  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
KurzbeschreibungA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineFully managed big data interactive analytics platformEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationCloud 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 DatenbankmodellGraph DBMS
Key-Value Store
Relational DBMS infocolumn orientedGraph DBMS
RDF Store
Relational DBMS infoColumn oriented
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
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,67
Rang#232  Overall
#21  Graph DBMS
#34  Key-Value Stores
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte2,07
Rang#122  Overall
#11  Graph DBMS
#6  RDF Stores
Punkte10,06
Rang#42  Overall
#26  Relational DBMS
Websitewww.graphengine.ioazure.microsoft.com/­services/­data-explorerwww.stardog.comwww.vertica.com
Technische Dokumentationwww.graphengine.io/­docs/­manualdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.stardog.comvertica.com/­documentation
EntwicklerMicrosoftMicrosoftStardog-UnionOpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr2010201920102005
Aktuelle Versioncloud service with continuous releases7.3.0, Mai 202012.0.3, Jänner 2023
Lizenz infoCommercial or Open SourceOpen Source infoMIT Licensekommerziellkommerziell info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentskommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinnein 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.
Implementierungssprache.NET and CJavaC++
Server Betriebssysteme.NETgehostetLinux
macOS
Windows
Linux
DatenschemajaFixed schema with schema-less datatypes (dynamic)schema-free and OWL/RDFS-schema supportYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
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-typesjayes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjanein infoImportieren/Exportieren von XML Daten möglichnein
Sekundärindizesall fields are automatically indexedja infosupports real-time indexing in full-text and geospatialNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLneinKusto Query Language (KQL), SQL subsetYes, compatible with all major SQL variants through dedicated BI/SQL ServerFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere ZugriffskonzepteRESTful HTTP APIMicrosoft 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
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Unterstützte ProgrammiersprachenC#
C++
F#
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored ProceduresjaYes, possible languages: KQL, Python, Ruser defined functions and aggregates, HTTP Server extensions in Javayes, PostgreSQL PL/pgSQL, with minor differences
Triggersneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infovia event handlersyes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale PartitionierungSharding infoImplicit feature of the cloud servicekeinehorizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source Replikation in HA-ClusterMulti-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoBietet ein API für Map/Reduce OperationenSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinno infoBi-directional Spark integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency
Immediate Consistency in HA-ClusterImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinja infoBeziehungen in Graphenja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinneinACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storagejajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinjanein
Berechtigungskonzept infoZugriffskontrolleAzure Active Directory AuthenticationZugriffsrechte für Benutzer und Rollenfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
Graph Engine infoformer name: TrinityMicrosoft Azure Data ExplorerStardogVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» mehr
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» mehr
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» mehr
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» mehr
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» mehr

Wir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen,
sowie um Herstellerinformationen wie Schlüsselkunden, Vorteile gegenüber Konkurrenten und Marktmetriken anzuzeigen.

Zugehörige Produkte und Dienstleistungen

Wir laden Vertreter von Anbietern von zugehörigen Produkten ein uns zu kontaktieren, um hier Informationen über ihre Angebote zu präsentieren.

Weitere Ressourcen
Graph Engine infoformer name: TrinityMicrosoft Azure Data ExplorerStardogVertica infoOpenText™ Vertica™
Erwähnungen in aktuellen Nachrichten

Trinity
21. Juni 2016, microsoft.com

Open source Microsoft Graph Engine takes on Neo4j
13. Februar 2017, InfoWorld

IBM releases Graph, a service that can outperform SQL databases
27. Juli 2016, GeekWire

Aerospike Is Now a Graph Database, Too
21. Juni 2023, Datanami

The graph analytics landscape 2019 - DataScienceCentral.com
27. Februar 2019, Data Science Central

bereitgestellt von Google News

We’re retiring Azure Time Series Insights on 7 July 2024 – transition to Azure Data Explorer | Azure updates
31. Mai 2024, azure.microsoft.com

Update records in a Kusto Database (public preview) | Azure updates
20. Februar 2024, azure.microsoft.com

Public Preview: Azure Data Explorer connector for Apache Flink | Azure updates
8. Januar 2024, azure.microsoft.com

Announcing General Availability to migrate Virtual Network injected Azure Data Explorer Cluster to Private Endpoints ...
5. Februar 2024, azure.microsoft.com

New Features for graph-match KQL Operator: Enhanced Pattern Matching and Cycle Control | Azure updates
24. Januar 2024, azure.microsoft.com

bereitgestellt von Google News

MapR Hadoop Upgrade Runs HP Vertica
22. September 2023, InformationWeek

Stonebraker Seeks to Invert the Computing Paradigm with DBOS
12. März 2024, Datanami

OpenText expands enterprise portfolio with AI and Micro Focus integrations
25. Juli 2023, VentureBeat

Postgres pioneer Michael Stonebraker promises to upend the database once more
26. Dezember 2023, The Register

Querying a Vertica data source in Amazon Athena using the Athena Federated Query SDK | Amazon Web Services
11. Februar 2021, AWS Blog

bereitgestellt von Google News



Teilen sie diese Seite mit ihrem Netzwerk

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Präsentieren Sie hier Ihr Produkt