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DBMS > Amazon DocumentDB vs. GraphDB vs. Hawkular Metrics vs. Manticore Search vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften Amazon DocumentDB vs. GraphDB vs. Hawkular Metrics vs. Manticore Search vs. Microsoft Azure Data Explorer

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon DocumentDB  Xaus Vergleich ausschliessenGraphDB infoUrsprünglicher Name: OWLIM  Xaus Vergleich ausschliessenHawkular Metrics  Xaus Vergleich ausschliessenManticore Search  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
KurzbeschreibungFast, scalable, highly available, and fully managed MongoDB-compatible database serviceEnterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Multi-storage database for search, including full-text search.Fully managed big data interactive analytics platform
Primäres DatenbankmodellDocument StoreGraph DBMS
RDF Store
Time Series DBMSSuchmaschineRelational DBMS infocolumn oriented
Sekundäre DatenbankmodelleTime Series DBMS infousing the Manticore Columnar LibraryDocument 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
Punkte1,91
Rang#124  Overall
#22  Document Stores
Punkte2,76
Rang#99  Overall
#8  Graph DBMS
#4  RDF Stores
Punkte0,01
Rang#377  Overall
#39  Time Series DBMS
Punkte0,23
Rang#301  Overall
#21  Suchmaschinen
Punkte3,28
Rang#83  Overall
#45  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.ontotext.comwww.hawkular.orgmanticoresearch.comazure.microsoft.com/­services/­data-explorer
Technische Dokumentationaws.amazon.com/­documentdb/­resourcesgraphdb.ontotext.com/­documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidemanual.manticoresearch.comdocs.microsoft.com/­en-us/­azure/­data-explorer
Social network pagesLinkedInTwitterYouTubeGitHubMedium
EntwicklerOntotextCommunity supported by Red HatManticore SoftwareMicrosoft
Erscheinungsjahr20192000201420172019
Aktuelle Version10.4, Oktober 20236.0, Februar 2023cloud service with continuous releases
Lizenz infoCommercial or Open Sourcekommerziellkommerziell infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache 2.0Open Source infoGPL Version 2kommerziell
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.
ImplementierungsspracheJavaJavaC++
Server BetriebssystemegehostetAlle Betriebssysteme mit einer Java VM
Linux
OS X
Windows
Linux
OS X
Windows
FreeBSD
Linux
macOS
Windows
gehostet
Datenschemaschemafreischema-free and OWL/RDFS-schema support; RDF shapesschemafreiFixed schemaFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinCan index from XMLja
Sekundärindizesjayes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesneinja infoFull-Text Index auf allen Suchfeldernall fields are automatically indexed
SQL infoSupport of SQLneinstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCneinSQL-like query languageKusto Query Language (KQL), SQL subset
APIs und andere Zugriffskonzepteproprietary protocol using JSON (MongoDB compatible)GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HTTP RESTBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte ProgrammiersprachenGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Go
Java
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored Proceduresneinwell-defined plugin interfaces; JavaScript server-side extensibilityneinuser defined functionsYes, possible languages: KQL, Python, R
Triggersneinneinja infovia Hawkular Alertingneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeinekeineSharding infobasierend auf CassandraSharding infoAufteilung der Daten erfolgt manuell, Suchabfragen auf verteilten Index werden unterstützt.Sharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-Source Replikationfrei wählbarer Replikationsfaktor infobasierend auf CassandraSynchronous replication based on Galera libraryja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce Operationennein infokann über Amazon Elastic MapReduce (Amazon EMR) realisiert werdenneinneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual Consistency infobasierend auf Cassandra
Immediate Consistency infobasierend auf Cassandra
Eventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätnein infotypically not used, however similar functionality with DBRef possibleja infoConstraint checkingneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenAtomic single-document operationsACIDneinja infoisolated transactions for atomic changes and binary logging for safe writesnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajaja infoDer Originalinhalt von Feldern wird nicht im Manticore-Index gespeichert.ja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinnein
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and rolesDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.neinneinAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
Amazon DocumentDBGraphDB infoUrsprünglicher Name: OWLIMHawkular MetricsManticore SearchMicrosoft Azure Data Explorer
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» mehr
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» mehr
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» mehr
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» mehr
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» mehr
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» mehr
Neuigkeiten

GraphDB in Action: Using Semantics To Push The Envelope Of Software Engineering, Machine Learning, and E-Health Domains
11. September 2024

Accelerating End-to-end Knowledge Graph Solutions with Ontotext’s LinkedLifeData Inventory: The Case of Target Discovery
30. August 2024

Using Entity Linking to Turn Your Graph into a Knowledge Graph
23. August 2024

Considerations to Creating a Graph Center of Excellence: 5 Elements to Ensure Success
22. August 2024

The Power of Knowledge Graphs – A Chat with Perfect Memory and Ontotext
16. August 2024

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Weitere Ressourcen
Amazon DocumentDBGraphDB infoUrsprünglicher Name: OWLIMHawkular MetricsManticore SearchMicrosoft Azure Data Explorer
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