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DBMS > Datastax Enterprise vs. InfluxDB vs. OceanBase vs. Stardog

Vergleich der Systemeigenschaften Datastax Enterprise vs. InfluxDB vs. OceanBase vs. Stardog

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NameDatastax Enterprise  Xaus Vergleich ausschliessenInfluxDB  Xaus Vergleich ausschliessenOceanBase  Xaus Vergleich ausschliessenStardog  Xaus Vergleich ausschliessen
KurzbeschreibungDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.DBMS for storing time series, events and metricsA distributed, high available RDBMS compatible with Oracle and MySQLEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primäres DatenbankmodellWide Column StoreTime Series DBMSRelational DBMSGraph DBMS
RDF Store
Sekundäre DatenbankmodelleDocument Store
Graph DBMS
Spatial DBMS
Suchmaschine
Vektor DBMS
Spatial DBMS infowith GEO packageDocument Store
Wide Column Store
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte4,82
Rang#65  Overall
#4  Wide Column Stores
Punkte22,12
Rang#28  Overall
#1  Time Series DBMS
Punkte1,97
Rang#119  Overall
#58  Relational DBMS
Punkte1,93
Rang#121  Overall
#10  Graph DBMS
#6  RDF Stores
Websitewww.datastax.com/­products/­datastax-enterprisewww.influxdata.com/­products/­influxdb-overviewen.oceanbase.comwww.stardog.com
Technische Dokumentationdocs.datastax.comdocs.influxdata.com/­influxdben.oceanbase.com/­docs/­oceanbase-databasedocs.stardog.com
EntwicklerDataStaxOceanBase infopreviously Alibaba and Ant GroupStardog-Union
Erscheinungsjahr2011201320102010
Aktuelle Version6.8, April 20202.7.6, April 20244.3.0, April 20247.3.0, Mai 2020
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoCommercial license availablekommerziell info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
ImplementierungsspracheJavaGoC++Java
Server BetriebssystemeLinux
OS X
Linux
OS X infothrough Homebrew
LinuxLinux
macOS
Windows
Datenschemaschemafreischemafreijaschema-free and OWL/RDFS-schema support
Typisierung infovordefinierte Datentypen, z.B. float oder datejaNumeric data and Stringsjaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjanein infoImportieren/Exportieren von XML Daten möglich
Sekundärindizesjaneinjaja infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLSQL-like query languagejaYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs und andere ZugriffskonzeptePropriätäres Protokoll infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
HTTP API
JSON over UDP
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietäres native API
Table API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Unterstützte ProgrammiersprachenC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-seitige Scripts infoStored ProceduresneinneinPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modeuser defined functions and aggregates, HTTP Server extensions in Java
Triggersjaneinjaja infovia event handlers
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infono "single point of failure"Sharding infoin enterprise version onlyhorizontal partitioning (by hash, key, range, range columns, list, and list columns)keine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenconfigurable replication factor, datacenter aware, advanced replication for edge computingfrei wählbarer Replikationsfaktor infoin enterprise version onlyMulti-source replication using PaxosMulti-Source Replikation in HA-Cluster
MapReduce infoBietet ein API für Map/Reduce Operationenjaneinneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyImmediate Consistency in HA-Cluster
Fremdschlüssel inforeferenzielle Integritätneinneinjaja infoBeziehungen in Graphen
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationennein infoAtomicity and isolation are supported for single operationsneinACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaja infoDepending on used storage engineja
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte für Benutzer auf einzelne Objekte definierbarEinfache Rechteverwaltung mit BenutzeraccountsAccess rights for users, groups and roles according to SQL-standardZugriffsrechte für Benutzer und Rollen
Weitere Informationen bereitgestellt vom Systemhersteller
Datastax EnterpriseInfluxDBOceanBaseStardog
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» mehr
InfluxData is the creator of InfluxDB , the open source time series database. It...
» mehr
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» mehr
Time to Value InfluxDB is available in all the popular languages and frameworks,...
» mehr
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» mehr
IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» mehr
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» mehr
InfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» mehr
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» mehr
Fastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» mehr
Licensing and pricing modelsAnnual subscription
» mehr
Open source core with closed source clustering available either on-premise or on...
» mehr
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Weitere Ressourcen
Datastax EnterpriseInfluxDBOceanBaseStardog
DB-Engines Blog Posts

Why Build a Time Series Data Platform?
20. Juli 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
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Time Series DBMS as a new trend?
1. Juni 2015, Paul Andlinger

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