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DBMS > Apache Druid vs. Datastax Enterprise vs. Firebird vs. Microsoft Azure Data Explorer vs. TigerGraph

Vergleich der Systemeigenschaften Apache Druid vs. Datastax Enterprise vs. Firebird vs. Microsoft Azure Data Explorer vs. TigerGraph

Redaktionelle Informationen bereitgestellt von DB-Engines
NameApache Druid  Xaus Vergleich ausschliessenDatastax Enterprise  Xaus Vergleich ausschliessenFirebird  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenTigerGraph  Xaus Vergleich ausschliessen
KurzbeschreibungOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Firebird ist ein Open Source RDBMS abgeleitet von Borlands InterBaseFully managed big data interactive analytics platformA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primäres DatenbankmodellRelational DBMS
Time Series DBMS
Wide Column StoreRelational DBMSRelational DBMS infocolumn orientedGraph DBMS
Sekundäre DatenbankmodelleDocument Store
Graph DBMS
Spatial DBMS
Suchmaschine
Vektor DBMS
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
Punkte3,34
Rang#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Punkte5,80
Rang#60  Overall
#4  Wide Column Stores
Punkte20,82
Rang#30  Overall
#18  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte1,83
Rang#139  Overall
#13  Graph DBMS
Websitedruid.apache.orgwww.datastax.com/­products/­datastax-enterprisewww.firebirdsql.orgazure.microsoft.com/­services/­data-explorerwww.tigergraph.com
Technische Dokumentationdruid.apache.org/­docs/­latest/­designdocs.datastax.comwww.firebirdsql.org/­en/­reference-manualsdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.tigergraph.com
EntwicklerApache Software Foundation and contributorsDataStaxFirebird FoundationMicrosoft
Erscheinungsjahr201220112000 infoAls Fork von Borlands InterBase20192017
Aktuelle Version29.0.1, April 20246.8, April 20205.0.0, Jaenner 2024cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoApache license v2kommerziellOpen Source infoInitial Developer's Public Licensekommerziellkommerziell
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.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
ImplementierungsspracheJavaJavaC und C++C++
Server BetriebssystemeLinux
OS X
Unix
Linux
OS X
AIX
FreeBSD
HP-UX
Linux
OS X
serverlos infoFirebird Embedded Server
Solaris
Unix
Windows
gehostetLinux
Datenschemaja infoschema-less columns are supportedschemafreijaFixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaja 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, XSLTneinneinjanein
Sekundärindizesjajajaall fields are automatically indexed
SQL infoSupport of SQLSQL for queryingSQL-like DML and DDL statements (CQL); Spark SQLjaKusto Query Language (KQL), SQL subsetSQL-like query language (GSQL)
APIs und andere ZugriffskonzepteJDBC
RESTful HTTP/JSON API
Propriätäres Protokoll infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Unterstützte ProgrammiersprachenClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C++
Java
Server-seitige Scripts infoStored ProceduresneinneinPSQLYes, possible languages: KQL, Python, Rja
Triggersneinjajaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infomanual/auto, time-basedSharding infono "single point of failure"keineSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja, durch HDFS, S3 oder andere Storage Enginesconfigurable replication factor, datacenter aware, advanced replication for edge computingSource-Replica Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce OperationenneinjaneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinjaneinja infoRelationships in graphs
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenneinnein infoAtomicity and isolation are supported for single operationsACIDneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajaja infoMVCC Architektur, lesende Clients blockieren schreibende Clients nichtjaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjaneinnein
Berechtigungskonzept infoZugriffskontrolleRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemZugriffsrechte für Benutzer auf einzelne Objekte definierbarBenutzer mit feingranularem BerechtigungskonzeptAzure Active Directory AuthenticationRole-based access control
Weitere Informationen bereitgestellt vom Systemhersteller
Apache DruidDatastax EnterpriseFirebirdMicrosoft Azure Data ExplorerTigerGraph
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
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Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
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Licensing and pricing modelsAnnual subscription
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Weitere Ressourcen
Apache DruidDatastax EnterpriseFirebirdMicrosoft Azure Data ExplorerTigerGraph
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