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DBMS > InfluxDB vs. RDF4J vs. ScyllaDB vs. SingleStore vs. Warp 10

Vergleich der Systemeigenschaften InfluxDB vs. RDF4J vs. ScyllaDB vs. SingleStore vs. Warp 10

Redaktionelle Informationen bereitgestellt von DB-Engines
NameInfluxDB  Xaus Vergleich ausschliessenRDF4J infoformerly known as Sesame  Xaus Vergleich ausschliessenScyllaDB  Xaus Vergleich ausschliessenSingleStore infoformer name was MemSQL  Xaus Vergleich ausschliessenWarp 10  Xaus Vergleich ausschliessen
KurzbeschreibungDBMS for storing time series, events and metricsRDF4J ist ein Java Framework zur Verarbeitung von RDF Daten, sowohl Hauptspeicher- als auch Disk-basiert.Cassandra and DynamoDB compatible wide column storeMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primäres DatenbankmodellTime Series DBMSRDF StoreWide Column StoreRelational DBMSTime Series DBMS
Sekundäre DatenbankmodelleSpatial DBMS infowith GEO packageKey-Value StoreDocument Store
Spatial DBMS
Time Series DBMS
Vektor DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte22,12
Rang#28  Overall
#1  Time Series DBMS
Punkte0,72
Rang#222  Overall
#9  RDF Stores
Punkte4,15
Rang#69  Overall
#5  Wide Column Stores
Punkte4,02
Rang#74  Overall
#39  Relational DBMS
Punkte0,06
Rang#351  Overall
#35  Time Series DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewrdf4j.orgwww.scylladb.comwww.singlestore.comwww.warp10.io
Technische Dokumentationdocs.influxdata.com/­influxdbrdf4j.org/­documentationdocs.scylladb.comdocs.singlestore.comwww.warp10.io/­content/­02_Getting_started
EntwicklerSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.ScyllaDBSingleStore Inc.SenX
Erscheinungsjahr20132004201520132015
Aktuelle Version2.7.6, April 2024ScyllaDB Open Source 6.0.2, Juli 20248.5, Jänner 2024
Lizenz infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoOpen Source (AGPL), commercial license availablekommerziell infofree developer edition availableOpen Source infoApache License 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.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
ImplementierungsspracheGoJavaC++C++, GoJava
Server BetriebssystemeLinux
OS X infothrough Homebrew
Linux
OS X
Unix
Windows
LinuxLinux info64 bit version requiredLinux
OS X
Windows
Datenschemaschemafreija infoRDF Schemasschemafreijaschemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder dateNumeric data and Stringsjajajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinnein
Sekundärindizesneinjaja infocluster global secondary indicesjanein
SQL infoSupport of SQLSQL-like query languageneinSQL-like DML and DDL statements (CQL)yes infobut no triggers and foreign keysnein
APIs und andere ZugriffskonzepteHTTP API
JSON over UDP
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Proprietäres Protokoll infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
HTTP API
Jupyter
WebSocket
Unterstützte Programmiersprachen.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-seitige Scripts infoStored Proceduresneinjayes, Luajaja infoWarpScript
Triggersneinjaneinneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoin enterprise version onlykeineShardingSharding infohash partitioningSharding infobasierend auf HBase
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenfrei wählbarer Replikationsfaktor infoin enterprise version onlykeinefrei wählbarer Replikationsfaktor infoRepresentation of geographical distribution of servers is possibleSource-Replica Replikation infostores two copies of each physical data partition on two separate nodesfrei wählbarer Replikationsfaktor infobasierend auf HBase
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinneinnein infocan define user-defined aggregate functions for map-reduce-style calculationsnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate Consistency infobasierend auf HBase
Fremdschlüssel inforeferenzielle Integritätneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACID infoIsolation abhängig vom verwendeten APInein infoAtomicity and isolation are supported for single operationsACIDnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajayes, multi-version concurrency control (MVCC)ja
Durability infoDauerhafte Speicherung der Datenjaja infoIn-memory Storage wird ebenfalls unterstütztjaja infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.ja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenja infoDepending on used storage engineja infoin-memory tablesjaja
Berechtigungskonzept infoZugriffskontrolleEinfache Rechteverwaltung mit BenutzeraccountsneinAccess rights for users can be defined per objectFine grained access control via users, groups and rolesMandatory use of cryptographic tokens, containing fine-grained authorizations
Weitere Informationen bereitgestellt vom Systemhersteller
InfluxDBRDF4J infoformerly known as SesameScyllaDBSingleStore infoformer name was MemSQLWarp 10
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» mehr
ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» mehr
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» mehr
Highly-performant (efficiently utilizes full resources of a node and network; millions...
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Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» mehr
ScyllaDB is ideal for applications that require high throughput and low latency at...
» mehr
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
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Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
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Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» mehr
ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» mehr
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» mehr
ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» mehr
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Weitere Ressourcen
InfluxDBRDF4J infoformerly known as SesameScyllaDBSingleStore infoformer name was MemSQLWarp 10
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
4. Juli 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1. Juni 2015, Paul Andlinger

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17. Oktober 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9. Juni 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14. Februar 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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