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DBMS > CrateDB vs. Hazelcast vs. Microsoft Azure Data Explorer vs. ObjectBox vs. Prometheus

Vergleich der Systemeigenschaften CrateDB vs. Hazelcast vs. Microsoft Azure Data Explorer vs. ObjectBox vs. Prometheus

Redaktionelle Informationen bereitgestellt von DB-Engines
NameCrateDB  Xaus Vergleich ausschliessenHazelcast  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenObjectBox  Xaus Vergleich ausschliessenPrometheus  Xaus Vergleich ausschliessen
KurzbeschreibungVerteilter Data Store basierend auf LuceneA widely adopted in-memory data gridFully managed big data interactive analytics platformExtremely fast embedded database for small devices, IoT and MobileOpen Source Timeseries DBMS und Monitoring System
Primäres DatenbankmodellDocument Store
Spatial DBMS
Suchmaschine
Time Series DBMS
Vektor DBMS
Key-Value StoreRelational DBMS infocolumn orientedObject oriented DBMSTime Series DBMS
Sekundäre DatenbankmodelleRelational DBMSDocument 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
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,73
Rang#229  Overall
#37  Document Stores
#5  Spatial DBMS
#16  Suchmaschinen
#19  Time Series DBMS
#8  Vektor DBMS
Punkte6,87
Rang#55  Overall
#6  Key-Value Stores
Punkte5,16
Rang#69  Overall
#37  Relational DBMS
Punkte1,22
Rang#172  Overall
#5  Object oriented DBMS
Punkte7,92
Rang#51  Overall
#2  Time Series DBMS
Websitecratedb.comhazelcast.comazure.microsoft.com/­services/­data-explorerobjectbox.ioprometheus.io
Technische Dokumentationcratedb.com/­docshazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.objectbox.ioprometheus.io/­docs
EntwicklerCrateHazelcastMicrosoftObjectBox Limited
Erscheinungsjahr20132008201920172015
Aktuelle Version5.3.6, November 2023cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2; commercial licenses availablekommerziellOpen Source infoApache License 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.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
ImplementierungsspracheJavaJavaC und C++Go
Server BetriebssystemeAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAlle Betriebssysteme mit einer Java VMgehostetAndroid
iOS
Linux
macOS
Windows
Linux
Windows
DatenschemaFlexible Schema (defined schema, partial schema, schema free)schemafreiFixed schema with schema-less datatypes (dynamic)jaja
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-typesjaNumeric data only
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 infoImportieren von XML Daten möglich
Sekundärindizesjajaall fields are automatically indexedjanein
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitySQL-like query languageKusto Query Language (KQL), SQL subsetneinnein
APIs und andere ZugriffskonzepteADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JCache
JPA
Memcached Protokoll
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Proprietäres native APIRESTful HTTP/JSON API
Unterstützte Programmiersprachen.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionenja infoEvent Listeners, Executor ServicesYes, possible languages: KQL, Python, Rneinnein
Triggersneinja infoEventsja 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 servicekeineSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenConfigurable replication on table/partition-levelja infoReplicated Mapja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.online/offline synchronization between client and serverja infomittels Federation
MapReduce infoBietet ein API für Map/Reduce OperationenneinjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Read-after-write consistency on record level
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Immediate Consistencykeine
Fremdschlüssel inforeferenzielle Integritätneinneinneinjanein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationennein infounique row identifiers can be used for implementing an optimistic concurrency control strategyone or two-phase-commit; repeatable reads; read commitedneinACIDnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjaneinneinnein
Berechtigungskonzept infoZugriffskontrolleRechteverwaltung mit BenutzeraccountsRole-based access controlAzure Active Directory Authenticationjanein
Weitere Informationen bereitgestellt vom Systemhersteller
CrateDBHazelcastMicrosoft Azure Data ExplorerObjectBoxPrometheus
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» mehr
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» mehr
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» mehr
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» mehr
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» mehr
Licensing and pricing modelsSee CrateDB pricing >
» mehr
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Weitere Ressourcen
CrateDBHazelcastMicrosoft Azure Data ExplorerObjectBoxPrometheus
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