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DBMS > GigaSpaces vs. GraphDB vs. InfluxDB vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften GigaSpaces vs. GraphDB vs. InfluxDB vs. Microsoft Azure Data Explorer

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Redaktionelle Informationen bereitgestellt von DB-Engines
NameGigaSpaces  Xaus Vergleich ausschliessenGraphDB infoUrsprünglicher Name: OWLIM  Xaus Vergleich ausschliessenInfluxDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
KurzbeschreibungHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsEnterprise-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.DBMS for storing time series, events and metricsFully managed big data interactive analytics platform
Primäres DatenbankmodellDocument Store
Object oriented DBMS infoValues are user defined objects
Graph DBMS
RDF Store
Time Series DBMSRelational DBMS infocolumn oriented
Sekundäre DatenbankmodelleGraph DBMS
Suchmaschine
Spatial DBMS infowith GEO packageDocument 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
Punkte0,97
Rang#192  Overall
#32  Document Stores
#6  Object oriented DBMS
Punkte3,32
Rang#91  Overall
#6  Graph DBMS
#4  RDF Stores
Punkte25,83
Rang#28  Overall
#1  Time Series DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Websitewww.gigaspaces.comwww.ontotext.comwww.influxdata.com/­products/­influxdb-overviewazure.microsoft.com/­services/­data-explorer
Technische Dokumentationdocs.gigaspaces.com/­latest/­landing.htmlgraphdb.ontotext.com/­documentationdocs.influxdata.com/­influxdbdocs.microsoft.com/­en-us/­azure/­data-explorer
Social network pagesLinkedInTwitterYouTubeGitHubMedium
EntwicklerGigaspaces TechnologiesOntotextMicrosoft
Erscheinungsjahr2000200020132019
Aktuelle Version15.5, September 202010.4, Oktober 20232.7.6, April 2024cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablekommerziell infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoMIT-License; commercial enterprise version availablekommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJava, C++, .NetJavaGo
Server BetriebssystemeLinux
macOS
Solaris
Windows
Alle Betriebssysteme mit einer Java VM
Linux
OS X
Windows
Linux
OS X infothrough Homebrew
gehostet
Datenschemaschemafreischema-free and OWL/RDFS-schema support; RDF shapesschemafreiFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaNumeric data and Stringsja 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, XSLTnein infoXML can be used for describing objects metadataneinneinja
Sekundärindizesjayes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesneinall fields are automatically indexed
SQL infoSupport of SQLSQL-99 for query and DML statementsstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL-like query languageKusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HTTP API
JSON over UDP
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte Programmiersprachen.Net
C++
Java
Python
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored Proceduresjawell-defined plugin interfaces; JavaScript server-side extensibilityneinYes, possible languages: KQL, Python, R
Triggersjaneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingkeineSharding infoin enterprise version onlySharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikation infosynchronous or asynchronous
Source-Replica Replikation infosynchronous or asynchronous
Multi-Source Replikationfrei wählbarer Replikationsfaktor infoin enterprise version onlyja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce Operationenja infoMap-Reduce pattern can be built with XAP task executorsneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinja infoConstraint checkingneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaja infoDepending on used storage enginenein
Berechtigungskonzept infoZugriffskontrolleRole-based access controlDefault 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.Einfache Rechteverwaltung mit BenutzeraccountsAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
GigaSpacesGraphDB infoUrsprünglicher Name: OWLIMInfluxDBMicrosoft Azure Data Explorer
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» mehr
InfluxData is the creator of InfluxDB , the open source time series database. It...
» mehr
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» mehr
Time to Value InfluxDB is available in all the popular languages and frameworks,...
» mehr
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» mehr
IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» mehr
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» mehr
InfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» mehr
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» mehr
Fastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» mehr
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» mehr
Open source core with closed source clustering available either on-premise or on...
» mehr
Neuigkeiten

Okay, RAG… We Have a Problem
26. April 2024

Scaling Understanding with the Help of Feedback Loops, Knowledge Graphs and NLP
19. April 2024

How Knowledge Graphs Power Data Mesh and Data Fabric
10. April 2024

Building Smarter Financial Services: The Role of Semantic Technologies, Knowledge Graphs and Generative AI
3. April 2024

Using GraphDB’s Natural Language Interface to Talk with Your Content
29. März 2024

The Final Frontier: Using InfluxDB on the International Space Station
30. April 2024

Getting the Current Time in C#: A Guide
26. April 2024

Sync Data from InfluxDB v2 to v3 With the Quix Template
8. April 2024

Infrastructure Monitoring Basics: Getting Started with Telegraf, InfluxDB, and Grafana
5. April 2024

Comparing Dates in Java: A Tutorial
3. April 2024

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Weitere Ressourcen
GigaSpacesGraphDB infoUrsprünglicher Name: OWLIMInfluxDBMicrosoft Azure Data Explorer
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
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1. Juni 2015, Paul Andlinger

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