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DBMS > InfluxDB vs. SingleStore vs. Warp 10

Vergleich der Systemeigenschaften InfluxDB vs. SingleStore vs. Warp 10

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NameInfluxDB  Xaus Vergleich ausschliessenSingleStore infoformer name was MemSQL  Xaus Vergleich ausschliessenWarp 10  Xaus Vergleich ausschliessen
KurzbeschreibungDBMS for storing time series, events and metricsMySQL 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 DBMSRelational DBMSTime Series DBMS
Sekundäre DatenbankmodelleSpatial DBMS infowith GEO packageDocument Store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte29,96
Rang#29  Overall
#1  Time Series DBMS
Punkte7,81
Rang#58  Overall
#34  Relational DBMS
Punkte0,15
Rang#347  Overall
#32  Time Series DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.singlestore.comwww.warp10.io
Technische Dokumentationdocs.influxdata.com/­influxdbdocs.singlestore.comwww.warp10.io/­content/­02_Getting_started
EntwicklerSingleStore Inc.SenX
Erscheinungsjahr201320132015
Aktuelle Version2.5.1, November 20227.6, November 2021
Lizenz infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablekommerziell infofree developer edition availableOpen Source infoApache License 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStore Managed Service: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
ImplementierungsspracheGoC++, GoJava
Server BetriebssystemeLinux
OS X infothrough Homebrew
Linux info64 bit version requiredLinux
OS X
Windows
Datenschemaschemafreijaschemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder dateNumeric data and Stringsjaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinnein
Sekundärindizesneinjanein
SQL infoSupport of SQLSQL-like query languageyes infobut no triggers and foreign keysnein
APIs und andere ZugriffskonzepteHTTP API
JSON over UDP
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
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
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-seitige Scripts infoStored Proceduresneinjaja infoWarpScript
Triggersneinneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoin enterprise version onlySharding infohash partitioningSharding infobasierend auf HBase
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenfrei wählbarer Replikationsfaktor infoin enterprise version onlySource-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 Operationenneinnein infocan define user-defined aggregate functions for map-reduce-style calculationsnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency infobasierend auf HBase
Fremdschlüssel inforeferenzielle Integritätneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjayes, multi-version concurrency control (MVCC)ja
Durability infoDauerhafte Speicherung der Datenjaja 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 enginejaja
Berechtigungskonzept infoZugriffskontrolleEinfache Rechteverwaltung mit BenutzeraccountsFine grained access control via users, groups and rolesMandatory use of cryptographic tokens, containing fine-grained authorizations
Weitere Informationen bereitgestellt vom Systemhersteller
InfluxDBSingleStore infoformer name was MemSQLWarp 10
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» mehr
SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» mehr
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» mehr
SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» mehr
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» mehr
Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» mehr
Key customersInfluxData has more than 1,300 paying customers, including customers include MuleSoft,...
» mehr
IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» mehr
Market metricsFastest-growing database to drive 24,500 GitHub stars Over 600,000 daily active instances
» mehr
Customers in various industries worldwide including US and International Industry...
» mehr
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» mehr
F ree Tier and Enterprise Edition
» mehr

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Weitere Ressourcen
InfluxDBSingleStore 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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Konferenzen und Veranstaltungen

How Nucleus Security Drove 4X Throughput with Distributed SQL
Webinar, 09:00AM PST, 8. Dezember 2022

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