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DBMS > HarperDB vs. Microsoft Azure Data Explorer vs. Percona Server for MongoDB vs. QuestDB vs. RocksDB

Vergleich der Systemeigenschaften HarperDB vs. Microsoft Azure Data Explorer vs. Percona Server for MongoDB vs. QuestDB vs. RocksDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameHarperDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenPercona Server for MongoDB  Xaus Vergleich ausschliessenQuestDB  Xaus Vergleich ausschliessenRocksDB  Xaus Vergleich ausschliessen
KurzbeschreibungUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Fully managed big data interactive analytics platformA drop-in replacement for MongoDB Community Edition with enterprise-grade features.A high performance open source SQL database for time series dataEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primäres DatenbankmodellDocument StoreRelational DBMS infocolumn orientedDocument StoreTime Series DBMSKey-Value Store
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
Relational DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,55
Rang#248  Overall
#38  Document Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,52
Rang#254  Overall
#39  Document Stores
Punkte2,52
Rang#109  Overall
#9  Time Series DBMS
Punkte3,65
Rang#85  Overall
#11  Key-Value Stores
Websitewww.harperdb.ioazure.microsoft.com/­services/­data-explorerwww.percona.com/­mongodb/­software/­percona-server-for-mongodbquestdb.iorocksdb.org
Technische Dokumentationdocs.harperdb.io/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.percona.com/­percona-distribution-for-mongodbquestdb.io/­docsgithub.com/­facebook/­rocksdb/­wiki
EntwicklerHarperDBMicrosoftPerconaQuestDB Technology IncFacebook, Inc.
Erscheinungsjahr20172019201520142013
Aktuelle Version3.1, August 2021cloud service with continuous releases3.4.10-2.10, November 20178.11.4, April 2024
Lizenz infoCommercial or Open Sourcekommerziell infofree community edition availablekommerziellOpen Source infoGPL Version 2Open Source infoApache 2.0Open Source infoBSD
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.
ImplementierungsspracheNode.jsC++Java (Zero-GC), C++, RustC++
Server BetriebssystemeLinux
OS X
gehostetLinuxLinux
macOS
Windows
Linux
Datenschemadynamic schemaFixed schema with schema-less datatypes (dynamic)schemafreija infoschema-free via InfluxDB Line Protocolschemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder dateja infoJSON data typesja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjajanein
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjaneinneinnein
Sekundärindizesjaall fields are automatically indexedjaneinnein
SQL infoSupport of SQLSQL-like data manipulation statementsKusto Query Language (KQL), SQL subsetneinSQL with time-series extensionsnein
APIs und andere ZugriffskonzepteJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Proprietäres Protokoll basierend auf JSONHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
C++ API
Java API
Unterstützte Programmiersprachen.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.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
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C++
Go
Java
Perl
Python
Ruby
Server-seitige Scripts infoStored ProceduresCustom Functions infosince release 3.1Yes, possible languages: KQL, Python, RJavaScriptneinnein
Triggersneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenA table resides as a whole on one (or more) nodes in a clusterSharding infoImplicit feature of the cloud serviceShardinghorizontal partitioning (by timestamps)horizontal partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infothe nodes on which a table resides can be definedja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica ReplikationSource-replica replication with eventual consistencyja
MapReduce infoBietet ein API für Map/Reduce OperationenneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkjaneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenAtomic execution of specific operationsneinneinACID for single-table writesja
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenyes, using LMDBjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinja infovia In-Memory Engineja infothrough memory mapped filesja
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and rolesAzure Active Directory AuthenticationAccess rights for users and rolesnein
Weitere Informationen bereitgestellt vom Systemhersteller
HarperDBMicrosoft Azure Data ExplorerPercona Server for MongoDBQuestDBRocksDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» mehr
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» mehr
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» mehr
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» mehr
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» mehr
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Zugehörige Produkte und Dienstleistungen
DrittanbieterSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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Weitere Ressourcen
HarperDBMicrosoft Azure Data ExplorerPercona Server for MongoDBQuestDBRocksDB
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