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DBMS > ClickHouse vs. GigaSpaces vs. GridDB vs. Microsoft Azure Cosmos DB vs. Sphinx

Vergleich der Systemeigenschaften ClickHouse vs. GigaSpaces vs. GridDB vs. Microsoft Azure Cosmos DB vs. Sphinx

Redaktionelle Informationen bereitgestellt von DB-Engines
NameClickHouse  Xaus Vergleich ausschliessenGigaSpaces  Xaus Vergleich ausschliessenGridDB  Xaus Vergleich ausschliessenMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xaus Vergleich ausschliessenSphinx  Xaus Vergleich ausschliessen
KurzbeschreibungA high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsScalable in-memory time series database optimized for IoT and Big DataGlobally distributed, horizontally scalable, multi-model database serviceOpen Source Suchmaschine zum Suchen in Daten aus verschiedenen Quellen, u.a. relationalen Datenbanken
Primäres DatenbankmodellRelational DBMSDocument Store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSDocument Store
Graph DBMS
Key-Value Store
Wide Column Store
Suchmaschine
Sekundäre DatenbankmodelleTime Series DBMSGraph DBMS
Suchmaschine
Key-Value Store
Relational DBMS
Spatial DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte15,88
Rang#37  Overall
#22  Relational DBMS
Punkte0,91
Rang#197  Overall
#33  Document Stores
#7  Object oriented DBMS
Punkte1,91
Rang#123  Overall
#10  Time Series DBMS
Punkte24,97
Rang#27  Overall
#4  Document Stores
#2  Graph DBMS
#3  Key-Value Stores
#3  Wide Column Stores
Punkte5,97
Rang#56  Overall
#5  Suchmaschinen
Websiteclickhouse.comwww.gigaspaces.comgriddb.netazure.microsoft.com/­services/­cosmos-dbsphinxsearch.com
Technische Dokumentationclickhouse.com/­docsdocs.gigaspaces.com/­latest/­landing.htmldocs.griddb.netlearn.microsoft.com/­azure/­cosmos-dbsphinxsearch.com/­docs
EntwicklerClickhouse Inc.Gigaspaces TechnologiesToshiba CorporationMicrosoftSphinx Technologies Inc.
Erscheinungsjahr20162000201320142001
Aktuelle Versionv24.6.2.17-stable, Juli 202415.5, September 20205.1, August 20223.5.1, Februar 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablekommerziellOpen Source infoGPL Version 2, kommerzielle Lizenz erhältlich
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.
  • ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
ImplementierungsspracheC++Java, C++, .NetC++C++
Server BetriebssystemeFreeBSD
Linux
macOS
Linux
macOS
Solaris
Windows
LinuxgehostetFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Datenschemajaschemafreijaschemafreija
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja infonumerical, string, blob, geometry, boolean, timestampja infoJSON typesnein
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinnein infoXML can be used for describing objects metadatanein
Sekundärindizesyesjajaja infoAll properties auto-indexed by defaultja infoFull-Text Index auf allen Suchfeldern
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)SQL-99 for query and DML statementsSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languageSQL-like query language (SphinxQL)
APIs und andere ZugriffskonzeptegRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP/JSON API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Proprietäres Protokoll
Unterstützte ProgrammiersprachenC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
.Net
C++
Java
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C++ infoinoffizielle Client Library
Java
Perl infoinoffizielle Client Library
PHP
Python
Ruby infoinoffizielle Client Library
Server-seitige Scripts infoStored ProceduresjajaneinJavaScriptnein
TriggersneinjajaJavaScriptnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkey based and customShardingShardingSharding infoImplizit im Cloud ServiceSharding infoAufteilung der Daten erfolgt manuell, Suchabfragen auf verteilten Index werden unterstützt.
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Multi-Source Replikation infosynchronous or asynchronous
Source-Replica Replikation infosynchronous or asynchronous
Source-Replica Replikationja infoImplizit im Cloud Servicekeine
MapReduce infoBietet ein API für Map/Reduce Operationenneinja infoMap-Reduce pattern can be built with XAP task executorsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate consistency within container, eventual consistency across containersBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDACID at container levelMulti-item ACID transactions with snapshot isolation within a partitionnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja infoDer Originalinhalt von Feldern wird nicht im Sphinx-Index gespeichert.
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaja
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.Role-based access controlAccess rights for users can be defined per databaseZugriffsrechte bis auf item level einstellbarnein

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Weitere Ressourcen
ClickHouseGigaSpacesGridDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSphinx
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