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DBMS > HugeGraph vs. Ignite vs. Microsoft Azure Data Explorer vs. RethinkDB vs. Spark SQL

Vergleich der Systemeigenschaften HugeGraph vs. Ignite vs. Microsoft Azure Data Explorer vs. RethinkDB vs. Spark SQL

Redaktionelle Informationen bereitgestellt von DB-Engines
NameHugeGraph  Xaus Vergleich ausschliessenIgnite  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRethinkDB  Xaus Vergleich ausschliessenSpark SQL  Xaus Vergleich ausschliessen
KurzbeschreibungA fast-speed and highly-scalable Graph DBMSApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Fully managed big data interactive analytics platformDBMS for the Web with a mechanism to push updated query results to applications in realtime.Spark SQL ist ein Spark-Modul für die Verarbeitung strukturierter Daten
Primäres DatenbankmodellGraph DBMSKey-Value Store
Relational DBMS
Relational DBMS infocolumn orientedDocument StoreRelational 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
Spatial DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,15
Rang#339  Overall
#33  Graph DBMS
Punkte3,64
Rang#89  Overall
#13  Key-Value Stores
#48  Relational DBMS
Punkte5,16
Rang#69  Overall
#37  Relational DBMS
Punkte2,84
Rang#106  Overall
#19  Document Stores
Punkte19,15
Rang#33  Overall
#20  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
ignite.apache.orgazure.microsoft.com/­services/­data-explorerrethinkdb.comspark.apache.org/­sql
Technische Dokumentationhugegraph.apache.org/­docsapacheignite.readme.io/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerrethinkdb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
EntwicklerBaiduApache Software FoundationMicrosoftThe Linux Foundation infosince July 2017Apache Software Foundation
Erscheinungsjahr20182015201920092014
Aktuelle Version0.9Apache Ignite 2.6cloud service with continuous releases2.4.1, August 20203.5.0 ( 2.13), September 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0kommerziellOpen Source infoApache Version 2Open Source infoApache 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaC++, Java, .NetC++Scala
Server BetriebssystemeLinux
macOS
Unix
Linux
OS X
Solaris
Windows
gehostetLinux
OS X
Windows
Linux
OS X
Windows
DatenschemajajaFixed schema with schema-less datatypes (dynamic)schemafreija
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-typesja infostring, binary, float, bool, date, geometryja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjajaneinnein
Sekundärindizesja infoalso supports composite index and range indexjaall fields are automatically indexedjanein
SQL infoSupport of SQLneinANSI-99 for query and DML statements, subset of DDLKusto Query Language (KQL), SQL subsetneinSQL-like DML and DDL statements
APIs und andere ZugriffskonzepteJava API
RESTful HTTP API
TinkerPop Gremlin
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP API
Spring Data
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
Unterstützte ProgrammiersprachenGroovy
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Java
Python
R
Scala
Server-seitige Scripts infoStored Proceduresasynchronous Gremlin script jobsyes (compute grid and cache interceptors can be used instead)Yes, possible languages: KQL, Python, Rnein
Triggersneinyes (cache interceptors and events)ja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyClient-side triggers through changefeedsnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenja infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding infoImplicit feature of the cloud serviceSharding inforange basedyes, utilizing Spark Core
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infodepending on used storage backend, e.g. Cassandra and HBaseyes (replicated cache)ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikationkeine
MapReduce infoBietet ein API für Map/Reduce Operationenvia hugegraph-sparkyes (compute grid and hadoop accelerator)Spark connector (open source): github.com/­Azure/­azure-kusto-sparkja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätja infoedges in graphneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDneinAtomic single-document operationsnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja infoMVCC basedja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinneinnein
Berechtigungskonzept infoZugriffskontrolleUsers, roles and permissionsSecurity Hooks for custom implementationsAzure Active Directory Authenticationja infousers and table-level permissionsnein

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Weitere Ressourcen
HugeGraphIgniteMicrosoft Azure Data ExplorerRethinkDBSpark SQL
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