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DBMS > Heroic vs. Microsoft Azure Data Explorer vs. Percona Server for MongoDB vs. SingleStore vs. Warp 10

Vergleich der Systemeigenschaften Heroic vs. Microsoft Azure Data Explorer vs. Percona Server for MongoDB vs. SingleStore vs. Warp 10

Redaktionelle Informationen bereitgestellt von DB-Engines
NameHeroic  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenPercona Server for MongoDB  Xaus Vergleich ausschliessenSingleStore infoformer name was MemSQL  Xaus Vergleich ausschliessenWarp 10  Xaus Vergleich ausschliessen
KurzbeschreibungTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchFully managed big data interactive analytics platformA 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 typeTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primäres DatenbankmodellTime Series DBMSRelational DBMS infocolumn orientedDocument StoreRelational DBMSTime Series 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
Punkte0,46
Rang#265  Overall
#22  Time Series DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte0,60
Rang#246  Overall
#39  Document Stores
Punkte5,38
Rang#62  Overall
#35  Relational DBMS
Punkte0,14
Rang#344  Overall
#32  Time Series DBMS
Websitegithub.com/­spotify/­heroicazure.microsoft.com/­services/­data-explorerwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.singlestore.comwww.warp10.io
Technische Dokumentationspotify.github.io/­heroicdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.percona.com/­percona-distribution-for-mongodbdocs.singlestore.comwww.warp10.io/­content/­02_Getting_started
EntwicklerSpotifyMicrosoftPerconaSingleStore Inc.SenX
Erscheinungsjahr20142019201520132015
Aktuelle Versioncloud service with continuous releases3.4.10-2.10, November 20178.5, Jänner 2024
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0kommerziellOpen Source infoGPL Version 2kommerziell infofree developer edition availableOpen Source infoApache License 2.0
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
ImplementierungsspracheJavaC++C++, GoJava
Server BetriebssystemegehostetLinuxLinux info64 bit version requiredLinux
OS X
Windows
DatenschemaschemafreiFixed schema with schema-less datatypes (dynamic)schemafreijaschemafrei
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-typesjajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjaneinneinnein
Sekundärindizesja infovia Elasticsearchall fields are automatically indexedjajanein
SQL infoSupport of SQLneinKusto Query Language (KQL), SQL subsetneinyes infobut no triggers and foreign keysnein
APIs und andere ZugriffskonzepteHQL (Heroic Query Language, a JSON-based language)
HTTP API
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
HTTP API
Jupyter
WebSocket
Unterstützte Programmiersprachen.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
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 ProceduresneinYes, possible languages: KQL, Python, RJavaScriptjaja infoWarpScript
Triggersneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoImplicit feature of the cloud serviceShardingSharding infohash partitioningSharding infobasierend auf HBase
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenjaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica ReplikationSource-Replica Replikation infostores two copies of each physical data partition on two separate nodesfrei wählbarer Replikationsfaktor infobasierend auf HBase
MapReduce infoBietet ein API für Map/Reduce OperationenneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkjanein infocan define user-defined aggregate functions for map-reduce-style calculationsnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency infobasierend auf HBase
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinneinneinACIDnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajayes, multi-version concurrency control (MVCC)ja
Durability infoDauerhafte Speicherung der Datenjajajaja infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.ja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinja infovia In-Memory Enginejaja
Berechtigungskonzept infoZugriffskontrolleAzure Active Directory AuthenticationAccess rights for users and rolesFine grained access control via users, groups and rolesMandatory use of cryptographic tokens, containing fine-grained authorizations
Weitere Informationen bereitgestellt vom Systemhersteller
HeroicMicrosoft Azure Data ExplorerPercona Server for MongoDBSingleStore infoformer name was MemSQLWarp 10
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
HeroicMicrosoft Azure Data ExplorerPercona Server for MongoDBSingleStore infoformer name was MemSQLWarp 10
DB-Engines Blog Posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17. Oktober 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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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