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DBMS > LeanXcale vs. Microsoft Azure Data Explorer vs. OpenQM vs. Percona Server for MongoDB vs. SingleStore

Vergleich der Systemeigenschaften LeanXcale vs. Microsoft Azure Data Explorer vs. OpenQM vs. Percona Server for MongoDB vs. SingleStore

Redaktionelle Informationen bereitgestellt von DB-Engines
NameLeanXcale  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenOpenQM infowird auch QM genannt  Xaus Vergleich ausschliessenPercona Server for MongoDB  Xaus Vergleich ausschliessenSingleStore infoformer name was MemSQL  Xaus Vergleich ausschliessen
KurzbeschreibungA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesFully managed big data interactive analytics platformQpenQM is a high-performance, self-tuning, multi-value DBMSA drop-in replacement for MongoDB Community Edition with enterprise-grade features.MySQL 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 DatenbankmodellKey-Value Store
Relational DBMS
Relational DBMS infocolumn orientedMultivalue DBMSDocument StoreRelational DBMS
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
Document Store
Spatial DBMS
Time Series DBMS
Vektor DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,35
Rang#283  Overall
#41  Key-Value Stores
#128  Relational DBMS
Punkte5,16
Rang#69  Overall
#37  Relational DBMS
Punkte0,33
Rang#286  Overall
#10  Multivalue DBMS
Punkte0,55
Rang#253  Overall
#39  Document Stores
Punkte5,91
Rang#61  Overall
#34  Relational DBMS
Websitewww.leanxcale.comazure.microsoft.com/­services/­data-explorerwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.singlestore.com
Technische Dokumentationdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.percona.com/­percona-distribution-for-mongodbdocs.singlestore.com
EntwicklerLeanXcaleMicrosoftRocket Software, originally Martin PhillipsPerconaSingleStore Inc.
Erscheinungsjahr20152019199320152013
Aktuelle Versioncloud service with continuous releases3.4-123.4.10-2.10, November 20178.5, Jänner 2024
Lizenz infoCommercial or Open SourcekommerziellkommerziellOpen Source infoGPLv2, erweiterte kommerzielle Lizenz verfügbarOpen Source infoGPL Version 2kommerziell infofree developer edition available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinneinnein
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
ImplementierungsspracheC++C++, Go
Server BetriebssystemegehostetAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
LinuxLinux info64 bit version required
DatenschemajaFixed schema with schema-less datatypes (dynamic)ja infowith some exceptionsschemafreija
Typisierung infovordefinierte Datentypen, z.B. float oder dateja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjajaneinnein
Sekundärindizesall fields are automatically indexedjajaja
SQL infoSupport of SQLja infothrough Apache DerbyKusto Query Language (KQL), SQL subsetneinneinyes infobut no triggers and foreign keys
APIs und andere ZugriffskonzepteJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Proprietäres Protokoll basierend auf JSONCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Unterstützte ProgrammiersprachenC
Java
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
Basic
C
Java
Objective C
PHP
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-seitige Scripts infoStored ProceduresYes, possible languages: KQL, Python, RjaJavaScriptja
Triggersja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyjaneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoImplicit feature of the cloud servicejaShardingSharding infohash 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.jaSource-Replica ReplikationSource-Replica Replikation infostores two copies of each physical data partition on two separate nodes
MapReduce infoBietet ein API für Map/Reduce OperationenneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinjanein infocan define user-defined aggregate functions for map-reduce-style calculations
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinACIDneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajayes, 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 haltenjaneinja infovia In-Memory Engineja
Berechtigungskonzept infoZugriffskontrolleAzure Active Directory AuthenticationAccess rights can be defined down to the item levelAccess rights for users and rolesFine grained access control via users, groups and roles
Weitere Informationen bereitgestellt vom Systemhersteller
LeanXcaleMicrosoft Azure Data ExplorerOpenQM infowird auch QM genanntPercona Server for MongoDBSingleStore 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...
» mehr
Licensing and pricing modelsF ree Tier and Enterprise Edition
» mehr

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Weitere Ressourcen
LeanXcaleMicrosoft Azure Data ExplorerOpenQM infowird auch QM genanntPercona Server for MongoDBSingleStore infoformer name was MemSQL
DB-Engines Blog Posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
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Cloud-Based Analytics With SingleStoreDB
9. Juni 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14. Februar 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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