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DBMS > Apache Druid vs. BigchainDB vs. Hawkular Metrics vs. Microsoft Azure Data Explorer vs. Trino

Vergleich der Systemeigenschaften Apache Druid vs. BigchainDB vs. Hawkular Metrics vs. Microsoft Azure Data Explorer vs. Trino

Redaktionelle Informationen bereitgestellt von DB-Engines
NameApache Druid  Xaus Vergleich ausschliessenBigchainDB  Xaus Vergleich ausschliessenHawkular Metrics  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenTrino  Xaus Vergleich ausschliessen
KurzbeschreibungOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Fully managed big data interactive analytics platformFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primäres DatenbankmodellRelational DBMS
Time Series DBMS
Document StoreTime Series DBMSRelational DBMS infocolumn orientedRelational 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
Document Store
Key-Value Store
Spatial DBMS
Suchmaschine
Time Series DBMS
Wide Column Store
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte3,25
Rang#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Punkte0,85
Rang#208  Overall
#35  Document Stores
Punkte0,08
Rang#366  Overall
#39  Time Series DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte4,99
Rang#65  Overall
#36  Relational DBMS
Websitedruid.apache.orgwww.bigchaindb.comwww.hawkular.orgazure.microsoft.com/­services/­data-explorertrino.io
Technische Dokumentationdruid.apache.org/­docs/­latest/­designbigchaindb.readthedocs.io/­en/­latestwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.microsoft.com/­en-us/­azure/­data-explorertrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
EntwicklerApache Software Foundation and contributorsCommunity supported by Red HatMicrosoftTrino Software Foundation
Erscheinungsjahr20122016201420192012 info2020 rebranded from PrestoSQL
Aktuelle Version29.0.1, April 2024cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoAGPL v3Open Source infoApache 2.0kommerziellOpen Source infoApache Version 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
ImplementierungsspracheJavaPythonJavaJava
Server BetriebssystemeLinux
OS X
Unix
LinuxLinux
OS X
Windows
gehostetLinux
macOS infofor devlopment
Datenschemaja infoschema-less columns are supportedschemafreischemafreiFixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder datejaneinjaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinjanein
Sekundärindizesjaneinall fields are automatically indexeddepending on connected data-source
SQL infoSupport of SQLSQL for queryingneinneinKusto Query Language (KQL), SQL subsetja
APIs und andere ZugriffskonzepteJDBC
RESTful HTTP/JSON API
CLI Client
RESTful HTTP API
HTTP RESTMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
RESTful HTTP API
Trino CLI
Unterstützte ProgrammiersprachenClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
Go
Java
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-seitige Scripts infoStored ProceduresneinneinYes, possible languages: KQL, Python, Ryes, depending on connected data-source
Triggersneinja infovia Hawkular Alertingja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infomanual/auto, time-basedShardingSharding infobasierend auf CassandraSharding infoImplicit feature of the cloud servicedepending on connected data-source
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja, durch HDFS, S3 oder andere Storage Enginesfrei wählbarer Replikationsfaktorfrei wählbarer Replikationsfaktor infobasierend auf Cassandraja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.depending on connected data-source
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency infobasierend auf Cassandra
Immediate Consistency infobasierend auf Cassandra
Eventual Consistency
Immediate Consistency
depending on connected data-source
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenneinneinneindepending on connected data-source
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjayes,with MongoDB ord RethinkDBjajadepending on connected data-source
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinnein
Berechtigungskonzept infoZugriffskontrolleRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyesneinAzure Active Directory AuthenticationSQL standard access control
Weitere Informationen bereitgestellt vom Systemhersteller
Apache DruidBigchainDBHawkular MetricsMicrosoft Azure Data ExplorerTrino
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
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Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
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Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
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Key customersTrino is widely adopted across the globe as freely-available open source software....
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Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
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Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
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Weitere Ressourcen
Apache DruidBigchainDBHawkular MetricsMicrosoft Azure Data ExplorerTrino
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