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DBMS > Hazelcast vs. IBM Db2 Event Store vs. Microsoft Azure Data Explorer vs. Milvus vs. Trafodion

Vergleich der Systemeigenschaften Hazelcast vs. IBM Db2 Event Store vs. Microsoft Azure Data Explorer vs. Milvus vs. Trafodion

Redaktionelle Informationen bereitgestellt von DB-Engines
NameHazelcast  Xaus Vergleich ausschliessenIBM Db2 Event Store  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenMilvus  Xaus Vergleich ausschliessenTrafodion  Xaus Vergleich ausschliessen
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
KurzbeschreibungA widely adopted in-memory data gridDistributed Event Store optimized for Internet of Things use casesFully managed big data interactive analytics platformA DBMS designed for efficient storage of vector data and vector similarity searchesTransactional SQL-on-Hadoop DBMS
Primäres DatenbankmodellKey-Value StoreEvent Store
Time Series DBMS
Relational DBMS infocolumn orientedVektor DBMSRelational 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
Punkte5,46
Rang#61  Overall
#7  Key-Value Stores
Punkte0,27
Rang#309  Overall
#2  Event Stores
#28  Time Series DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte2,78
Rang#103  Overall
#3  Vektor DBMS
Websitehazelcast.comwww.ibm.com/­products/­db2-event-storeazure.microsoft.com/­services/­data-explorermilvus.iotrafodion.apache.org
Technische Dokumentationhazelcast.org/­imdg/­docswww.ibm.com/­docs/­en/­db2-event-storedocs.microsoft.com/­en-us/­azure/­data-explorermilvus.io/­docs/­overview.mdtrafodion.apache.org/­documentation.html
EntwicklerHazelcastIBMMicrosoftApache Software Foundation, originally developed by HP
Erscheinungsjahr20082017201920192014
Aktuelle Version5.3.6, November 20232.0cloud service with continuous releases2.3.4, Jänner 20242.3.0, Februar 2019
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablekommerziell infofree developer edition availablekommerziellOpen Source infoApache Version 2.0Open Source infoApache 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
ImplementierungsspracheJavaC und C++C++, GoC++, Java
Server BetriebssystemeAlle Betriebssysteme mit einer Java VMLinux infoLinux, macOS, Windows for the developer additiongehostetLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
DatenschemaschemafreijaFixed schema with schema-less datatypes (dynamic)ja
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-typesVector, Numeric and Stringja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTja infothe object must implement a serialization strategyneinjaneinnein
Sekundärindizesjaneinall fields are automatically indexedneinja
SQL infoSupport of SQLSQL-like query languageja infothrough the embedded Spark runtimeKusto Query Language (KQL), SQL subsetneinja
APIs und andere ZugriffskonzepteJCache
JPA
Memcached Protokoll
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
Unterstützte Programmiersprachen.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C++
Go
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-seitige Scripts infoStored Proceduresja infoEvent Listeners, Executor ServicesjaYes, possible languages: KQL, Python, RneinJava Stored Procedures
Triggersja infoEventsneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingSharding infoImplicit feature of the cloud serviceShardingSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoReplicated MapActive-active shard replicationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.ja, durch HBase
MapReduce infoBietet ein API für Map/Reduce OperationenjaneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinja infomittels user defined functions und HBase
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyEventual Consistency
Immediate Consistency
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenone or two-phase-commit; repeatable reads; read commitedneinneinneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten DatenmanipulationenjaNo - written data is immutablejajaja
Durability infoDauerhafte Speicherung der DatenjaYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storagejajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinjanein
Berechtigungskonzept infoZugriffskontrolleRole-based access controlBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAzure Active Directory AuthenticationRole based access control and fine grained access rightsBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard
Weitere Informationen bereitgestellt vom Systemhersteller
HazelcastIBM Db2 Event StoreMicrosoft Azure Data ExplorerMilvusTrafodion
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
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Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
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Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» mehr
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
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Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
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Weitere Ressourcen
HazelcastIBM Db2 Event StoreMicrosoft Azure Data ExplorerMilvusTrafodion
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