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DBMS > AntDB vs. Apache Druid vs. Faircom EDGE vs. Microsoft Azure Data Explorer vs. SpaceTime

Vergleich der Systemeigenschaften AntDB vs. Apache Druid vs. Faircom EDGE vs. Microsoft Azure Data Explorer vs. SpaceTime

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAntDB  Xaus Vergleich ausschliessenApache Druid  Xaus Vergleich ausschliessenFaircom EDGE infoformerly c-treeEDGE  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSpaceTime  Xaus Vergleich ausschliessen
KurzbeschreibungA scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with OracleOpen-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 environmentsFully managed big data interactive analytics platformSpaceTime ist ein Spatio-temporal DBMS mit Focus auf Performance.
Primäres DatenbankmodellRelational DBMSRelational DBMS
Time Series DBMS
Key-Value Store
Relational DBMS
Relational DBMS infocolumn orientedSpatial 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
Relational DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,25
Rang#303  Overall
#137  Relational DBMS
Punkte3,34
Rang#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Punkte0,02
Rang#368  Overall
#54  Key-Value Stores
#156  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,00
Rang#383  Overall
#7  Spatial DBMS
Websitewww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmldruid.apache.orgwww.faircom.com/­products/­faircom-edgeazure.microsoft.com/­services/­data-explorerwww.mireo.com/­spacetime
Technische Dokumentationdruid.apache.org/­docs/­latest/­designdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.microsoft.com/­en-us/­azure/­data-explorer
Social network pagesLinkedInTwitterFacebook
EntwicklerAsiaInfo Technologies LimitedApache Software Foundation and contributorsFairCom CorporationMicrosoftMireo
Erscheinungsjahr2012197920192020
Aktuelle Version29.0.1, April 2024V3, Oktober 2020cloud service with continuous releases
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache license v2kommerziell infoRestricted, free version availablekommerziellkommerziell
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.
ImplementierungsspracheJavaANSI C, C++C++
Server BetriebssystemeLinux
OS X
Unix
Android
Linux infoARM, x86
Raspbian
Windows
gehostetLinux
Datenschemajaja infoschema-less columns are supportedFlexible Schema (defined schema, partial schema, schema free)Fixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja, ANSI Standard SQL Typesja 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, XSLTneinjajanein
Sekundärindizesjajajaall fields are automatically indexednein
SQL infoSupport of SQLSQL2016 compliantSQL for queryingja infoANSI SQL queriesKusto Query Language (KQL), SQL subsetA subset of ANSI SQL is implemented
APIs und andere ZugriffskonzepteJDBC
MySQL protocol compliant
ODBC
JDBC
RESTful HTTP/JSON API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP API
Unterstützte ProgrammiersprachenClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C#
C++
Python
Server-seitige Scripts infoStored Proceduresneinja info.Net, JavaScript, C/C++Yes, possible languages: KQL, Python, Rnein
Triggersjaneinjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infomanual/auto, time-basedFile partitioning infoCustomizable business rules for partitioningSharding infoImplicit feature of the cloud serviceFixed-grid hypercubes
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 logsja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Real-time block device replication (DRBD)
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinja infowhen using SQLneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinACIDneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajaja infoacross SQL and NoSQLjaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinjaneinnein
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.Azure Active Directory Authenticationja
Weitere Informationen bereitgestellt vom Systemhersteller
AntDBApache DruidFaircom EDGE infoformerly c-treeEDGEMicrosoft Azure Data ExplorerSpaceTime
Specific characteristicsAntDB was initiated in 2008. On the core system of operators, AntDB provides online...
» mehr
Competitive advantagesHTAP mixed load: AntDB is a universal, enterprise-level distributed relational database,...
» mehr
Typical application scenariosAs the core software of large enterprise, AntDB supports multi-scenario deployment....
» mehr
Key customersChina Mobile, China Telecom, China Unicom, Aeon Life, China Mobile Tietong, CITIC...
» mehr
Market metricsMore than 1 billion subscribers in 24 provinces across China are served by AntDB...
» mehr
Licensing and pricing modelsCertificates and licenses CMMI5 Certificate licensed by CMMI Institute IT Product...
» mehr

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Weitere Ressourcen
AntDBApache DruidFaircom EDGE infoformerly c-treeEDGEMicrosoft Azure Data ExplorerSpaceTime
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