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DBMS > Apache IoTDB vs. Brytlyt vs. Microsoft Azure Data Explorer vs. MongoDB vs. TDengine

Vergleich der Systemeigenschaften Apache IoTDB vs. Brytlyt vs. Microsoft Azure Data Explorer vs. MongoDB vs. TDengine

Redaktionelle Informationen bereitgestellt von DB-Engines
NameApache IoTDB  Xaus Vergleich ausschliessenBrytlyt  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenMongoDB  Xaus Vergleich ausschliessenTDengine  Xaus Vergleich ausschliessen
KurzbeschreibungAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLFully managed big data interactive analytics platformEiner der meistverwendeten Document StoresTime Series DBMS and big data platform
Primäres DatenbankmodellTime Series DBMSRelational DBMSRelational DBMS infocolumn orientedDocument StoreTime 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
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
Relational DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,18
Rang#173  Overall
#15  Time Series DBMS
Punkte0,29
Rang#288  Overall
#131  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte421,65
Rang#5  Overall
#1  Document Stores
Punkte2,60
Rang#107  Overall
#8  Time Series DBMS
Websiteiotdb.apache.orgbrytlyt.ioazure.microsoft.com/­services/­data-explorerwww.mongodb.comgithub.com/­taosdata/­TDengine
tdengine.com
Technische Dokumentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.brytlyt.iodocs.microsoft.com/­en-us/­azure/­data-explorerwww.mongodb.com/­docs/­manualdocs.tdengine.com
EntwicklerApache Software FoundationBrytlytMicrosoftMongoDB, IncTDEngine, previously Taos Data
Erscheinungsjahr20182016201920092019
Aktuelle Version1.1.0, April 20235.0, August 2023cloud service with continuous releases6.0.7, Juni 20233.0, August 2022
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2.0kommerziellkommerziellOpen 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 infoAGPL V3, also commercial editions available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjanein infoMongoDB available as DBaaS (MongoDB Atlas)nein
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.
ImplementierungsspracheJavaC, C++ and CUDAC++C
Server BetriebssystemeAlle Betriebssysteme mit einer Java VM (>=1.8)Linux
OS X
Windows
gehostetLinux
OS X
Solaris
Windows
Linux
Windows
DatenschemajajaFixed schema with schema-less datatypes (dynamic)schemafrei infoObwohl schemafrei haben Dokumente einer Collection dennoch häufig die selbe Strukturja
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja 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, geospatialja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinja infospecific XML-type available, but no XML query functionality.janein
Sekundärindizesjajaall fields are automatically indexedjanein
SQL infoSupport of SQLSQL-like query languagejaKusto Query Language (KQL), SQL subsetRead-only SQL queries via the MongoDB Atlas SQL InterfaceStandard SQL with extensions for time-series applications
APIs und andere ZugriffskonzepteJDBC
Native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
GraphQL
HTTP REST
Prisma
Proprietäres Protokoll basierend auf JSON
JDBC
RESTful HTTP API
Unterstützte ProgrammiersprachenC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.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#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-seitige Scripts infoStored Proceduresjabenutzerdefinierte Funktionen infoin PL/pgSQLYes, possible languages: KQL, Python, RJavaScriptnein
Triggersjajaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infoin MongoDB Atlas onlyyes, via alarm monitoring
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding 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.Sharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-Replica Replikationja 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
ja
MapReduce infoBietet ein API für Map/Reduce OperationenIntegration with Hadoop and SparkneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Fremdschlüssel inforeferenzielle Integritätneinjaneinnein infoNormalerweise nicht gebraucht, abgeschwächte Variante mit DBRefnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDneinMulti-document ACID Transactions with snapshot isolation
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajaja infooptional, enabled by defaultja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinja infoIn-memory storage engine introduced with MongoDB version 3.2
Berechtigungskonzept infoZugriffskontrollejaBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAzure Active Directory AuthenticationZugriffsrechte für Benutzer und Rollenyes
Weitere Informationen bereitgestellt vom Systemhersteller
Apache IoTDBBrytlytMicrosoft Azure Data ExplorerMongoDBTDengine
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» mehr
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» mehr
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» mehr
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» mehr
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» mehr
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» 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
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» mehr
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» mehr
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» mehr
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