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DBMS > Fauna vs. InfinityDB vs. Microsoft Azure Data Explorer vs. TDengine vs. Ultipa

Vergleich der Systemeigenschaften Fauna vs. InfinityDB vs. Microsoft Azure Data Explorer vs. TDengine vs. Ultipa

Redaktionelle Informationen bereitgestellt von DB-Engines
NameFauna infopreviously named FaunaDB  Xaus Vergleich ausschliessenInfinityDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenTDengine  Xaus Vergleich ausschliessenUltipa  Xaus Vergleich ausschliessen
KurzbeschreibungFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.A Java embedded Key-Value Store which extends the Java Map interfaceFully managed big data interactive analytics platformTime Series DBMS and big data platformHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primäres DatenbankmodellDocument Store
Graph DBMS
Relational DBMS
Time Series DBMS
Key-Value StoreRelational DBMS infocolumn orientedTime Series DBMSGraph 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
Relational DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,55
Rang#151  Overall
#26  Document Stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Punkte0,08
Rang#365  Overall
#55  Key-Value Stores
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte2,68
Rang#106  Overall
#9  Time Series DBMS
Punkte0,19
Rang#330  Overall
#30  Graph DBMS
Websitefauna.comboilerbay.comazure.microsoft.com/­services/­data-explorergithub.com/­taosdata/­TDengine
tdengine.com
www.ultipa.com
Technische Dokumentationdocs.fauna.comboilerbay.com/­infinitydb/­manualdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.tdengine.comwww.ultipa.com/­document
EntwicklerFauna, Inc.Boiler Bay Inc.MicrosoftTDEngine, previously Taos DataUltipa
Erscheinungsjahr20142002201920192019
Aktuelle Version4.0cloud service with continuous releases3.0, August 2022
Lizenz infoCommercial or Open SourcekommerziellkommerziellkommerziellOpen Source infoAGPL V3, also commercial editions availablekommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheScalaJavaC
Server BetriebssystemegehostetAlle Betriebssysteme mit einer Java VMgehostetLinux
Windows
Datenschemaschemafreija infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeFixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder dateneinja infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjanein
Sekundärindizesjanein infomanual creation possible, using inversions based on multi-value capabilityall fields are automatically indexednein
SQL infoSupport of SQLneinneinKusto Query Language (KQL), SQL subsetStandard SQL with extensions for time-series applications
APIs und andere ZugriffskonzepteRESTful HTTP APIAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
RESTful HTTP API
RESTful HTTP API
Unterstützte ProgrammiersprachenC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
Java.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C++
Go
Java
JavaScript (Node.js)
Python
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte FunktionenneinYes, possible languages: KQL, Python, Rnein
Triggersneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes, via alarm monitoring
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale Partitionierung infoconsistent hashingkeineSharding infoImplicit feature of the cloud serviceSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikationkeineja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.ja
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätjanein infomanual creation possible, using inversions based on multi-value capabilityneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinnein
Berechtigungskonzept infoZugriffskontrolleIdentity management, authentication, and access controlneinAzure Active Directory Authenticationyes
Weitere Informationen bereitgestellt vom Systemhersteller
Fauna infopreviously named FaunaDBInfinityDBMicrosoft Azure Data ExplorerTDengineUltipa
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» mehr
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» mehr
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» mehr
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» mehr
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» mehr
Neuigkeiten

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6. Juni 2024

Comprehensive Comparison Between TDengine and TimescaleDB
5. Juni 2024

Mastering Memory Leak Detection in TDengine
31. Mai 2024

Seamless Data Integration from MQTT and InfluxDB to TDengine
22. Mai 2024

Solving Long Query Performance Bottlenecks
22. Mai 2024

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Weitere Ressourcen
Fauna infopreviously named FaunaDBInfinityDBMicrosoft Azure Data ExplorerTDengineUltipa
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