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DBMS > Bangdb vs. Microsoft Azure Data Explorer vs. MongoDB vs. Speedb vs. SQream DB

Vergleich der Systemeigenschaften Bangdb vs. Microsoft Azure Data Explorer vs. MongoDB vs. Speedb vs. SQream DB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameBangdb  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenMongoDB  Xaus Vergleich ausschliessenSpeedb  Xaus Vergleich ausschliessenSQream DB  Xaus Vergleich ausschliessen
KurzbeschreibungConverged and high performance database for device data, events, time series, document and graphFully managed big data interactive analytics platformEiner der meistverwendeten Document StoresAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDBa GPU-based, columnar RDBMS for big data analytics workloads
Primäres DatenbankmodellDocument Store
Graph DBMS
Time Series DBMS
Relational DBMS infocolumn orientedDocument StoreKey-Value StoreRelational DBMS
Sekundäre DatenbankmodelleSpatial DBMSDocument 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
Spatial DBMS
Suchmaschine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vektor DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,16
Rang#338  Overall
#47  Document Stores
#32  Graph DBMS
#31  Time Series DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte421,08
Rang#5  Overall
#1  Document Stores
Punkte0,26
Rang#310  Overall
#45  Key-Value Stores
Punkte0,74
Rang#224  Overall
#103  Relational DBMS
Websitebangdb.comazure.microsoft.com/­services/­data-explorerwww.mongodb.comwww.speedb.iosqream.com
Technische Dokumentationdocs.bangdb.comdocs.microsoft.com/­en-us/­azure/­data-explorerwww.mongodb.com/­docs/­manualdocs.sqream.com
EntwicklerSachin Sinha, BangDBMicrosoftMongoDB, IncSpeedbSQream Technologies
Erscheinungsjahr20122019200920202017
Aktuelle VersionBangDB 2.0, October 2021cloud service with continuous releases6.0.7, Juni 20232022.1.6, Dezember 2022
Lizenz infoCommercial or Open SourceOpen Source infoBSD 3kommerziellOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoApache Version 2.0; commercial license availablekommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjanein infoMongoDB available as DBaaS (MongoDB Atlas)neinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • MongoDB Flex @ STACKIT offers managed MongoDB Instances with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
  • MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
ImplementierungsspracheC, C++C++C++C++, CUDA, Haskell, Java, Scala
Server BetriebssystemeLinuxgehostetLinux
OS X
Solaris
Windows
Linux
Windows
Linux
DatenschemaschemafreiFixed schema with schema-less datatypes (dynamic)schemafrei infoObwohl schemafrei haben Dokumente einer Collection dennoch häufig die selbe Strukturschemafreija
Typisierung infovordefinierte Datentypen, z.B. float oder dateyes: string, long, double, int, geospatial, stream, eventsja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja infostring, integer, double, decimal, boolean, date, object_id, geospatialneinja, ANSI Standard SQL Types
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjanein
Sekundärindizesja infosecondary, composite, nested, reverse, geospatialall fields are automatically indexedjaneinnein
SQL infoSupport of SQLSQL like support with command line toolKusto Query Language (KQL), SQL subsetRead-only SQL queries via the MongoDB Atlas SQL Interfaceneinja
APIs und andere ZugriffskonzeptePropriätäres Protokoll
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
GraphQL
HTTP REST
Prisma
Proprietäres Protokoll basierend auf JSON
.Net
JDBC
ODBC
Unterstützte ProgrammiersprachenC
C#
C++
Java
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Actionscript infoinoffizielle Driver
C
C#
C++
Clojure infoinoffizielle Driver
ColdFusion infoinoffizielle Driver
D infoinoffizielle Driver
Dart infoinoffizielle Driver
Delphi infoinoffizielle Driver
Erlang
Go
Groovy infoinoffizielle Driver
Haskell
Java
JavaScript
Kotlin
Lisp infoinoffizielle Driver
Lua infoinoffizielle Driver
MatLab infoinoffizielle Driver
Perl
PHP
PowerShell infoinoffizielle Driver
Prolog infoinoffizielle Driver
Python
R infoinoffizielle Driver
Ruby
Rust
Scala
Smalltalk infoinoffizielle Driver
Swift
C
C++
Go
Java
Perl
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-seitige Scripts infoStored ProceduresneinYes, possible languages: KQL, Python, RJavaScriptneinuser defined functions in Python
Triggersyes, Notifications (with Streaming only)ja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infoin MongoDB Atlas onlynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infoImplicit feature of the cloud serviceSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.horizontal partitioninghorizontal and vertical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenselectable replication factor, Knob for CAP (enterprise version only)ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source deployments with MongoDB Atlas Global Clusters
Source-Replica Replikation
jakeine
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 SystemTunable consistency, set CAP knob accordinglyEventual Consistency
Immediate Consistency
Eventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinnein infoNormalerweise nicht gebraucht, abgeschwächte Variante mit DBRefneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinMulti-document ACID Transactions with snapshot isolationjaACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenyes, optimistic concurrency controljajajaja
Durability infoDauerhafte Speicherung der Datenyes, implements WAL (Write ahead log) as welljaja infooptional, enabled by defaultjaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenyes, run db with in-memory only modeneinja infoIn-memory storage engine introduced with MongoDB version 3.2ja
Berechtigungskonzept infoZugriffskontrolleyes (enterprise version only)Azure Active Directory AuthenticationZugriffsrechte für Benutzer und Rollennein
Weitere Informationen bereitgestellt vom Systemhersteller
BangdbMicrosoft Azure Data ExplorerMongoDBSpeedbSQream DB
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» mehr
Speedb is an embedded key-value storage engine for versatile use cases. It was designed...
» mehr
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» mehr
Speedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» mehr
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» mehr
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» mehr
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» mehr
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» mehr
Open source - Speedb OSS is released under an Apache license and can be found on...
» mehr

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Weitere Ressourcen
BangdbMicrosoft Azure Data ExplorerMongoDBSpeedbSQream DB
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