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DBMS > Apache Druid vs. FeatureBase vs. Microsoft Azure Data Explorer vs. SpaceTime vs. Vertica

Vergleich der Systemeigenschaften Apache Druid vs. FeatureBase vs. Microsoft Azure Data Explorer vs. SpaceTime vs. Vertica

Redaktionelle Informationen bereitgestellt von DB-Engines
NameApache Druid  Xaus Vergleich ausschliessenFeatureBase  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSpaceTime  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
KurzbeschreibungOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Fully managed big data interactive analytics platformSpaceTime ist ein Spatio-temporal DBMS mit Focus auf Performance.Cloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primäres DatenbankmodellRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMS infocolumn orientedSpatial DBMSRelational DBMS infoColumn oriented
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
Relational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte3,34
Rang#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Punkte0,22
Rang#309  Overall
#139  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,00
Rang#383  Overall
#7  Spatial DBMS
Punkte10,68
Rang#43  Overall
#27  Relational DBMS
Websitedruid.apache.orgwww.featurebase.comazure.microsoft.com/­services/­data-explorerwww.mireo.com/­spacetimewww.vertica.com
Technische Dokumentationdruid.apache.org/­docs/­latest/­designdocs.featurebase.comdocs.microsoft.com/­en-us/­azure/­data-explorervertica.com/­documentation
EntwicklerApache Software Foundation and contributorsMolecula and Pilosa Open Source ContributorsMicrosoftMireoOpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr20122017201920202005
Aktuelle Version29.0.1, April 20242022, May 2022cloud service with continuous releases12.0.3, Jänner 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache license v2kommerziellkommerziellkommerziellkommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaGoC++C++
Server BetriebssystemeLinux
OS X
Unix
Linux
macOS
gehostetLinuxLinux
Datenschemaja infoschema-less columns are supportedjaFixed schema with schema-less datatypes (dynamic)jaYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
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-typesjayes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjaneinnein
Sekundärindizesjaneinall fields are automatically indexedneinNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSQL for queryingSQL queriesKusto Query Language (KQL), SQL subsetA subset of ANSI SQL is implementedFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere ZugriffskonzepteJDBC
RESTful HTTP/JSON API
gRPC
JDBC
Kafka Connector
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Unterstützte ProgrammiersprachenClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C#
C++
Python
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored ProceduresneinYes, possible languages: KQL, Python, Rneinyes, PostgreSQL PL/pgSQL, with minor differences
Triggersneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinyes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infomanual/auto, time-basedShardingSharding infoImplicit feature of the cloud serviceFixed-grid hypercubeshorizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja, durch HDFS, S3 oder andere Storage Enginesjaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Real-time block device replication (DRBD)Multi-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoBietet ein API für Map/Reduce OperationenneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinno infoBi-directional Spark integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinjaneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinjaneinneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjayes, using Linux fsyncjajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjaneinneinnein
Berechtigungskonzept infoZugriffskontrolleRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAzure Active Directory Authenticationjafine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
Apache DruidFeatureBaseMicrosoft Azure Data ExplorerSpaceTimeVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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Weitere Ressourcen
Apache DruidFeatureBaseMicrosoft Azure Data ExplorerSpaceTimeVertica infoOpenText™ Vertica™
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