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DBMS > Apache Druid vs. Faircom EDGE vs. Greenplum vs. JSqlDb vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften Apache Druid vs. Faircom EDGE vs. Greenplum vs. JSqlDb vs. Microsoft Azure Data Explorer

Redaktionelle Informationen bereitgestellt von DB-Engines
NameApache Druid  Xaus Vergleich ausschliessenFaircom EDGE infoformerly c-treeEDGE  Xaus Vergleich ausschliessenGreenplum  Xaus Vergleich ausschliessenJSqlDb  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
KurzbeschreibungOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.JavaScript Query Language Database, stores JavaScript objects and primitivesFully managed big data interactive analytics platform
Primäres DatenbankmodellRelational DBMS
Time Series DBMS
Key-Value Store
Relational DBMS
Relational DBMSDocument Store
Object oriented DBMS
Relational DBMS infocolumn oriented
Sekundäre DatenbankmodelleDocument Store
Spatial 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
Punkte0,02
Rang#368  Overall
#54  Key-Value Stores
#156  Relational DBMS
Punkte8,37
Rang#48  Overall
#30  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Websitedruid.apache.orgwww.faircom.com/­products/­faircom-edgegreenplum.orgjsqldb.org (offline)azure.microsoft.com/­services/­data-explorer
Technische Dokumentationdruid.apache.org/­docs/­latest/­designdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.greenplum.orgdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerApache Software Foundation and contributorsFairCom CorporationPivotal Software Inc.Konrad von BackstromMicrosoft
Erscheinungsjahr20121979200520182019
Aktuelle Version29.0.1, April 2024V3, Oktober 20207.0.0, September 20230.8, Dezember 2018cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoApache license v2kommerziell infoRestricted, free version availableOpen Source infoApache 2.0Open Sourcekommerziell
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.
ImplementierungsspracheJavaANSI C, C++
Server BetriebssystemeLinux
OS X
Unix
Android
Linux infoARM, x86
Raspbian
Windows
LinuxLinux
macOS
Windows
gehostet
Datenschemaja infoschema-less columns are supportedFlexible Schema (defined schema, partial schema, schema free)jaschemafreiFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja, ANSI Standard SQL Typesjaneinja 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, XSLTneinjaja infoseit Version 4.2neinja
Sekundärindizesjajajaneinall fields are automatically indexed
SQL infoSupport of SQLSQL for queryingja infoANSI SQL queriesjaneinKusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteJDBC
RESTful HTTP/JSON API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte ProgrammiersprachenClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C
Java
Perl
Python
R
JavaScript.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored Proceduresneinja info.Net, JavaScript, C/C++jafunctions in JavaScriptYes, possible languages: KQL, Python, R
Triggersneinjajaneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infomanual/auto, time-basedFile partitioning infoCustomizable business rules for partitioningShardingkeineSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja, durch HDFS, S3 oder andere Storage Enginesja infoSynchronous and asynchronous realtime replication based on transaction logsSource-Replica Replikationkeineja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinjaneinSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinja infowhen using SQLjaneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDACIDnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjaja infoacross SQL and NoSQLjaja
Durability infoDauerhafte Speicherung der Datenjajajaja infousing RocksDBja
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 systemFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAzure Active Directory Authentication

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Weitere Ressourcen
Apache DruidFaircom EDGE infoformerly c-treeEDGEGreenplumJSqlDbMicrosoft Azure Data Explorer
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