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DBMS > Apache Phoenix vs. Elasticsearch vs. Faircom EDGE vs. Microsoft Azure Data Explorer vs. SingleStore

Vergleich der Systemeigenschaften Apache Phoenix vs. Elasticsearch vs. Faircom EDGE vs. Microsoft Azure Data Explorer vs. SingleStore

Redaktionelle Informationen bereitgestellt von DB-Engines
NameApache Phoenix  Xaus Vergleich ausschliessenElasticsearch  Xaus Vergleich ausschliessenFaircom EDGE infoformerly c-treeEDGE  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSingleStore infoformer name was MemSQL  Xaus Vergleich ausschliessen
KurzbeschreibungA scale-out RDBMS with evolutionary schema built on Apache HBaseEine moderne Such- und Analyseplattform basierend auf Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsFully 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 type
Primäres DatenbankmodellRelational DBMSSuchmaschineKey-Value Store
Relational DBMS
Relational DBMS infocolumn orientedRelational DBMS
Sekundäre DatenbankmodelleDocument Store
Spatial DBMS
Vektor DBMS
Document 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
Punkte1,97
Rang#126  Overall
#59  Relational DBMS
Punkte135,35
Rang#7  Overall
#1  Suchmaschinen
Punkte0,02
Rang#368  Overall
#54  Key-Value Stores
#156  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte5,60
Rang#62  Overall
#35  Relational DBMS
Websitephoenix.apache.orgwww.elastic.co/­elasticsearchwww.faircom.com/­products/­faircom-edgeazure.microsoft.com/­services/­data-explorerwww.singlestore.com
Technische Dokumentationphoenix.apache.orgwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.microsoft.com/­en-us/­azure/­data-explorerdocs.singlestore.com
EntwicklerApache Software FoundationElasticFairCom CorporationMicrosoftSingleStore Inc.
Erscheinungsjahr20142010197920192013
Aktuelle Version5.0-HBase2, July 2018 and 4.15-HBase1, December 20198.6, January 2023V3, Oktober 2020cloud service with continuous releases8.5, Jänner 2024
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoElastic Licensekommerziell infoRestricted, free version availablekommerziellkommerziell infofree developer edition available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinjanein
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
ImplementierungsspracheJavaJavaANSI C, C++C++, Go
Server BetriebssystemeLinux
Unix
Windows
Alle Betriebssysteme mit einer Java VMAndroid
Linux infoARM, x86
Raspbian
Windows
gehostetLinux info64 bit version required
Datenschemaja infolate-bound, schema-on-read capabilitiesschemafrei infoFlexible Typdefinitionen, die - sobald definiert - persistent bleiben.Flexible Schema (defined schema, partial schema, schema free)Fixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja, ANSI Standard SQL Typesja 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, XSLTneinneinjajanein
Sekundärindizesjaja infoAlle Suchfelder werden automatisch indiziertjaall fields are automatically indexedja
SQL infoSupport of SQLjaSQL-like query languageja infoANSI SQL queriesKusto Query Language (KQL), SQL subsetyes infobut no triggers and foreign keys
APIs und andere ZugriffskonzepteJDBCJava API
RESTful HTTP/JSON API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Unterstützte ProgrammiersprachenC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionenjaja info.Net, JavaScript, C/C++Yes, possible languages: KQL, Python, Rja
Triggersneinja infoMittels Verwendung des 'Percolation' featuresjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingFile partitioning infoCustomizable business rules for partitioningSharding infoImplicit feature of the cloud serviceSharding infohash partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikation
Source-Replica Replikation
jaja infoSynchronous and asynchronous realtime replication based on transaction logsja 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 nodes
MapReduce infoBietet ein API für Map/Reduce OperationenHadoop integrationES-Hadoop ConnectorneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein infocan define user-defined aggregate functions for map-reduce-style calculations
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency or Eventual ConsistencyEventual Consistency infoSynchrone dokumentenbasierte Replikation. Write consistency konfigurierbar: one, quorum, allImmediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinja infowhen using SQLneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinACIDneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajaja infoacross SQL and NoSQLjayes, multi-version concurrency control (MVCC)
Durability infoDauerhafte Speicherung der Datenjajajajaja infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaMemcached and Redis integrationjaneinja
Berechtigungskonzept infoZugriffskontrolleAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Azure Active Directory AuthenticationFine grained access control via users, groups and roles
Weitere Informationen bereitgestellt vom Systemhersteller
Apache PhoenixElasticsearchFaircom EDGE infoformerly c-treeEDGEMicrosoft Azure Data ExplorerSingleStore infoformer name was MemSQL
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...
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Licensing and pricing modelsF ree Tier and Enterprise Edition
» mehr

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Weitere Ressourcen
Apache PhoenixElasticsearchFaircom EDGE infoformerly c-treeEDGEMicrosoft Azure Data ExplorerSingleStore infoformer name was MemSQL
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