DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Informationen zu relationalen und NoSQL DatenbankmanagementsystemenEin Service von solid IT

DBMS > Microsoft Azure Data Explorer vs. RethinkDB vs. SwayDB vs. Tarantool

Vergleich der Systemeigenschaften Microsoft Azure Data Explorer vs. RethinkDB vs. SwayDB vs. Tarantool

Bitte wählen Sie ein weiteres System aus, um es in den Vergleich aufzunehmen.

Redaktionelle Informationen bereitgestellt von DB-Engines
NameMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRethinkDB  Xaus Vergleich ausschliessenSwayDB  Xaus Vergleich ausschliessenTarantool  Xaus Vergleich ausschliessen
KurzbeschreibungFully managed big data interactive analytics platformDBMS for the Web with a mechanism to push updated query results to applications in realtime.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primäres DatenbankmodellRelational DBMS infocolumn orientedDocument StoreKey-Value StoreDocument Store
Key-Value Store
Relational 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 DBMSSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte2,74
Rang#105  Overall
#19  Document Stores
Punkte0,00
Rang#382  Overall
#59  Key-Value Stores
Punkte1,72
Rang#144  Overall
#25  Document Stores
#25  Key-Value Stores
#66  Relational DBMS
Websiteazure.microsoft.com/­services/­data-explorerrethinkdb.comswaydb.simer.auwww.tarantool.io
Technische Dokumentationdocs.microsoft.com/­en-us/­azure/­data-explorerrethinkdb.com/­docswww.tarantool.io/­en/­doc
EntwicklerMicrosoftThe Linux Foundation infosince July 2017Simer PlahaVK
Erscheinungsjahr2019200920182008
Aktuelle Versioncloud service with continuous releases2.4.1, August 20202.10.0, Mai 2022
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache Version 2Open Source infoGNU Affero GPL V3.0Open Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++ScalaC und C++
Server BetriebssystemegehostetLinux
OS X
Windows
BSD
Linux
macOS
DatenschemaFixed schema with schema-less datatypes (dynamic)schemafreischemafreiFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typisierung infovordefinierte Datentypen, z.B. float oder dateja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja infostring, binary, float, bool, date, geometryneinstring, double, decimal, uuid, integer, blob, boolean, datetime
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjaneinneinnein
Sekundärindizesall fields are automatically indexedjaneinja
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetneinneinFull-featured ANSI SQL support
APIs und andere ZugriffskonzepteMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Open binary protocol
Unterstützte Programmiersprachen.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Java
Kotlin
Scala
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-seitige Scripts infoStored ProceduresYes, possible languages: KQL, Python, RneinLua, C and SQL stored procedures
Triggersja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyClient-side triggers through changefeedsneinja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoImplicit feature of the cloud serviceSharding inforange basedkeineSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica ReplikationkeineAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoBietet ein API für Map/Reduce OperationenSpark connector (open source): github.com/­Azure/­azure-kusto-sparkjanein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Fremdschlüssel inforeferenzielle Integritätneinneinneinyes
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinAtomic single-document operationsAtomic execution of operationsACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjaja infoMVCC basedjaja
Durability infoDauerhafte Speicherung der Datenjajajayes, write ahead logging
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinjayes, full featured in-memory storage engine with persistence
Berechtigungskonzept infoZugriffskontrolleAzure Active Directory Authenticationja infousers and table-level permissionsneinAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

Weitere Informationen bereitgestellt vom Systemhersteller

Wir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen,
sowie um Herstellerinformationen wie Schlüsselkunden, Vorteile gegenüber Konkurrenten und Marktmetriken anzuzeigen.

Zugehörige Produkte und Dienstleistungen

Wir laden Vertreter von Anbietern von zugehörigen Produkten ein uns zu kontaktieren, um hier Informationen über ihre Angebote zu präsentieren.

Weitere Ressourcen
Microsoft Azure Data ExplorerRethinkDBSwayDBTarantool
DB-Engines Blog Posts

Meet some database management systems you are likely to hear more about in the future
4. August 2014, Paul Andlinger

alle anzeigen

Data processing speed and reliability: in-memory synchronous replication
9. November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

alle anzeigen

Erwähnungen in aktuellen Nachrichten

Introducing Microsoft Fabric: The data platform for the era of AI | Microsoft Azure Blog
23. Mai 2023, azure.microsoft.com

Providing modern data transfer and storage service at Microsoft with Microsoft Azure - Inside Track Blog
13. Juli 2023, Microsoft

Azure Data Explorer: Log and telemetry analytics benchmark
16. August 2022, azure.microsoft.com

Azure Data Explorer and Stream Analytics for anomaly detection
16. Januar 2020, azure.microsoft.com

Controlling costs in Azure Data Explorer using down-sampling and aggregation
11. Februar 2019, azure.microsoft.com

bereitgestellt von Google News

How to Use RethinkDB with Node.js Applications — SitePoint
16. Dezember 2015, SitePoint

Stripe acquires team behind NoSQL database startup RethinkDB
5. Oktober 2016, VentureBeat

MongoDB: The Popular Database for IoT
15. August 2023, Open Source For You

RethinkDB is dead, and MongoDB isn't what killed it
24. Januar 2017, TechRepublic

Review: RethinkDB rethinks real-time Web apps
23. September 2015, InfoWorld

bereitgestellt von Google News

TaranHouse: New Big Data Warehouse Announced by Tarantool
4. April 2018, Newswire

In-Memory Showdown: Redis vs. Tarantool
1. September 2021, Хабр

Tarantool Announces New Enterprise Version With Enhanced Scaling and Monitoring Capabilities
18. Mai 2018, Newswire

Deploying Tarantool Cartridge applications with zero effort (Part 1)
16. Dezember 2019, Хабр

Deploying Tarantool Cartridge applications with zero effort (Part 2)
13. April 2020, Хабр

bereitgestellt von Google News



Teilen sie diese Seite mit ihrem Netzwerk

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

SingleStore logo

Database for your real-time AI and Analytics Apps.
Try it today.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Präsentieren Sie hier Ihr Produkt