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DBMS > eXtremeDB vs. GigaSpaces vs. Heroic vs. IBM Db2 Event Store vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften eXtremeDB vs. GigaSpaces vs. Heroic vs. IBM Db2 Event Store vs. Microsoft Azure Data Explorer

Redaktionelle Informationen bereitgestellt von DB-Engines
NameeXtremeDB  Xaus Vergleich ausschliessenGigaSpaces  Xaus Vergleich ausschliessenHeroic  Xaus Vergleich ausschliessenIBM Db2 Event Store  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
KurzbeschreibungNatively in-memory DBMS with options for persistency, high-availability and clusteringHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchDistributed Event Store optimized for Internet of Things use casesFully managed big data interactive analytics platform
Primäres DatenbankmodellRelational DBMS
Time Series DBMS
Document Store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSEvent Store
Time Series DBMS
Relational DBMS infocolumn oriented
Sekundäre DatenbankmodelleGraph DBMS
Suchmaschine
Document 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
Punkte0,80
Rang#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Punkte1,03
Rang#188  Overall
#32  Document Stores
#6  Object oriented DBMS
Punkte0,46
Rang#265  Overall
#22  Time Series DBMS
Punkte0,27
Rang#309  Overall
#2  Event Stores
#28  Time Series DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Websitewww.mcobject.comwww.gigaspaces.comgithub.com/­spotify/­heroicwww.ibm.com/­products/­db2-event-storeazure.microsoft.com/­services/­data-explorer
Technische Dokumentationwww.mcobject.com/­docs/­extremedb.htmdocs.gigaspaces.com/­latest/­landing.htmlspotify.github.io/­heroicwww.ibm.com/­docs/­en/­db2-event-storedocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerMcObjectGigaspaces TechnologiesSpotifyIBMMicrosoft
Erscheinungsjahr20012000201420172019
Aktuelle Version8.2, 202115.5, September 20202.0cloud service with continuous releases
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0kommerziell infofree developer edition availablekommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinneinja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC und C++Java, C++, .NetJavaC und C++
Server BetriebssystemeAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
macOS
Solaris
Windows
Linux infoLinux, macOS, Windows for the developer additiongehostet
DatenschemajaschemafreischemafreijaFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTnein infosupport of XML interfaces availablenein infoXML can be used for describing objects metadataneinneinja
Sekundärindizesjajaja infovia Elasticsearchneinall fields are automatically indexed
SQL infoSupport of SQLja infowith the option: eXtremeSQLSQL-99 for query and DML statementsneinja infothrough the embedded Spark runtimeKusto Query Language (KQL), SQL subset
APIs und andere Zugriffskonzepte.NET Client API
JDBC
JNI
ODBC
Proprietäres Protokoll
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte Programmiersprachen.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C++
Java
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
Server-seitige Scripts infoStored ProceduresjajaneinjaYes, possible languages: KQL, Python, R
Triggersja infoby defining eventsjaneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale Partitionierung / shardingShardingShardingShardingSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenActive Replication Fabric™ for IoT
Multi-Source Replikation infoby means of eXtremeDB Cluster option
Source-Replica Replikation infoby means of eXtremeDB High Availability option
Multi-Source Replikation infosynchronous or asynchronous
Source-Replica Replikation infosynchronous or asynchronous
jaActive-active shard replicationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce Operationenneinja infoMap-Reduce pattern can be built with XAP task executorsneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Immediate Consistency
Eventual ConsistencyEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDneinneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja infoOptimistic (MVCC) and pessimistic (locking) strategies availablejajaNo - written data is immutableja
Durability infoDauerhafte Speicherung der DatenjajajaYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageja
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 Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
eXtremeDBGigaSpacesHeroicIBM Db2 Event StoreMicrosoft Azure Data Explorer
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» mehr
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» mehr
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» mehr
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» mehr
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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Weitere Ressourcen
eXtremeDBGigaSpacesHeroicIBM Db2 Event StoreMicrosoft Azure Data Explorer
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