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DBMS > Faircom DB vs. Hazelcast vs. Microsoft Azure Data Explorer vs. Quasardb vs. Yanza

Vergleich der Systemeigenschaften Faircom DB vs. Hazelcast vs. Microsoft Azure Data Explorer vs. Quasardb vs. Yanza

Redaktionelle Informationen bereitgestellt von DB-Engines
NameFaircom DB infoformerly c-treeACE  Xaus Vergleich ausschliessenHazelcast  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenQuasardb  Xaus Vergleich ausschliessenYanza  Xaus Vergleich ausschliessen
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
KurzbeschreibungNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A widely adopted in-memory data gridFully managed big data interactive analytics platformDistributed, high-performance timeseries databaseTime Series DBMS for IoT Applications
Primäres DatenbankmodellKey-Value Store
Relational DBMS
Key-Value StoreRelational DBMS infocolumn orientedTime Series DBMSTime Series DBMS
Sekundäre DatenbankmodelleDocument Store infoJSON support with IMDG 3.12Document 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
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,29
Rang#304  Overall
#43  Key-Value Stores
#136  Relational DBMS
Punkte5,46
Rang#61  Overall
#7  Key-Value Stores
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte0,21
Rang#322  Overall
#29  Time Series DBMS
Websitewww.faircom.com/­products/­faircom-dbhazelcast.comazure.microsoft.com/­services/­data-explorerquasar.aiyanza.com
Technische Dokumentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlhazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerdoc.quasar.ai/­master
EntwicklerFairCom CorporationHazelcastMicrosoftquasardbYanza
Erscheinungsjahr19792008201920092015
Aktuelle VersionV12, November 20205.3.6, November 2023cloud service with continuous releases3.14.1, Jänner 2024
Lizenz infoCommercial or Open Sourcekommerziell infoRestricted, free version availableOpen Source infoApache Version 2; commercial licenses availablekommerziellkommerziell infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenseskommerziell infofree version available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein infobut mainly used as a service provided by Yanza
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheANSI C, C++JavaC++
Server BetriebssystemeAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Alle Betriebssysteme mit einer Java VMgehostetBSD
Linux
OS X
Windows
Windows
Datenschemaschema free, schema optional, schema required, partial schema,schemafreiFixed schema with schema-less datatypes (dynamic)schemafreischemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder dateja, ANSI Standard SQL Types, JSON, typed binary structuresjaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja infointeger and binarynein
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinja infothe object must implement a serialization strategyjaneinnein
Sekundärindizesjajaall fields are automatically indexedja infomittels Tagsnein
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsSQL-like query languageKusto Query Language (KQL), SQL subsetSQL-like query languagenein
APIs und andere ZugriffskonzepteADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
JCache
JPA
Memcached Protokoll
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP APIHTTP API
Unterstützte Programmiersprachen.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
jede Sprache, die HTTP-Aufrufe erlaubt
Server-seitige Scripts infoStored Proceduresja info.Net, JavaScript, C/C++ja infoEvent Listeners, Executor ServicesYes, possible languages: KQL, Python, Rneinnein
Triggersjaja infoEventsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinja infoTimer and event based
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingSharding infoImplicit feature of the cloud serviceSharding infoconsistent hashingkeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).ja infoReplicated Mapja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikation mit wählbarem Replikationsfaktorkeine
MapReduce infoBietet ein API für Map/Reduce OperationenneinjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparkwith Hadoop integrationnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationentunable from ACID to Eventually Consistentone or two-phase-commit; repeatable reads; read commitedneinACIDnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der DatenYes, tunable from durable to delayed durability to in-memoryjajaja infomittels LevelDBja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinja infoTransient mode
Berechtigungskonzept infoZugriffskontrolleFine grained access rights according to SQL-standard with additional protections for filesRole-based access controlAzure Active Directory AuthenticationCryptographically strong user authentication and audit trailnein

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Weitere Ressourcen
Faircom DB infoformerly c-treeACEHazelcastMicrosoft Azure Data ExplorerQuasardbYanza
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