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DBMS > Atos Standard Common Repository vs. Greenplum vs. GridDB vs. Ignite vs. QuestDB

Vergleich der Systemeigenschaften Atos Standard Common Repository vs. Greenplum vs. GridDB vs. Ignite vs. QuestDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAtos Standard Common Repository  Xaus Vergleich ausschliessenGreenplum  Xaus Vergleich ausschliessenGridDB  Xaus Vergleich ausschliessenIgnite  Xaus Vergleich ausschliessenQuestDB  Xaus Vergleich ausschliessen
This system has been discontinued and will be removed from the DB-Engines ranking.
KurzbeschreibungHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAnalytic 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.Scalable in-memory time series database optimized for IoT and Big DataApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A high performance open source SQL database for time series data
Primäres DatenbankmodellDocument Store
Key-Value Store
Relational DBMSTime Series DBMSKey-Value Store
Relational DBMS
Time Series DBMS
Sekundäre DatenbankmodelleDocument Store
Spatial DBMS
Key-Value Store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte8,08
Rang#48  Overall
#31  Relational DBMS
Punkte2,09
Rang#120  Overall
#10  Time Series DBMS
Punkte3,11
Rang#96  Overall
#15  Key-Value Stores
#49  Relational DBMS
Punkte2,70
Rang#105  Overall
#8  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygreenplum.orggriddb.netignite.apache.orgquestdb.io
Technische Dokumentationdocs.greenplum.orgdocs.griddb.netapacheignite.readme.io/­docsquestdb.io/­docs
EntwicklerAtos Convergence CreatorsPivotal Software Inc.Toshiba CorporationApache Software FoundationQuestDB Technology Inc
Erscheinungsjahr20162005201320152014
Aktuelle Version17037.0.0, September 20235.1, August 2022Apache Ignite 2.6
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 2.0Open Source infoApache 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaC++C++, Java, .NetJava (Zero-GC), C++, Rust
Server BetriebssystemeLinuxLinuxLinuxLinux
OS X
Solaris
Windows
Linux
macOS
Windows
DatenschemaSchema and schema-less with LDAP viewsjajajaja infoschema-free via InfluxDB Line Protocol
Typisierung infovordefinierte Datentypen, z.B. float oder dateoptionaljaja infonumerical, string, blob, geometry, boolean, timestampjaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjaja infoseit Version 4.2neinjanein
Sekundärindizesjajajajanein
SQL infoSupport of SQLneinjaSQL92, SQL-like TQL (Toshiba Query Language)ANSI-99 for query and DML statements, subset of DDLSQL with time-series extensions
APIs und andere ZugriffskonzepteLDAPJDBC
ODBC
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP API
Spring Data
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Unterstützte ProgrammiersprachenAll languages with LDAP bindingsC
Java
Perl
Python
R
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-seitige Scripts infoStored Proceduresneinjaneinyes (compute grid and cache interceptors can be used instead)nein
Triggersjajajayes (cache interceptors and events)nein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infocell divisionShardingShardingShardinghorizontal partitioning (by timestamps)
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenjaSource-Replica ReplikationSource-Replica Replikationyes (replicated cache)Source-replica replication with eventual consistency
MapReduce infoBietet ein API für Map/Reduce OperationenjaConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes (compute grid and hadoop accelerator)nein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinjaneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenAtomic execution of specific operationsACIDACID at container levelACIDACID for single-table writes
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinjajaja infothrough memory mapped files
Berechtigungskonzept infoZugriffskontrolleLDAP bind authenticationBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAccess rights for users can be defined per databaseSecurity Hooks for custom implementations
Weitere Informationen bereitgestellt vom Systemhersteller
Atos Standard Common RepositoryGreenplumGridDBIgniteQuestDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» mehr
Relational model with native time series support Column-based storage and time partitioned...
» mehr
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» mehr
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» mehr
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» mehr
Financial tick data Industrial IoT Application Metrics Monitoring
» mehr
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» mehr
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» mehr
Market metricsGitHub trending repository
» mehr
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» mehr
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» mehr
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Weitere Ressourcen
Atos Standard Common RepositoryGreenplumGridDBIgniteQuestDB
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