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DBMS > InfluxDB vs. Lovefield vs. RavenDB vs. SingleStore vs. TimesTen

Vergleich der Systemeigenschaften InfluxDB vs. Lovefield vs. RavenDB vs. SingleStore vs. TimesTen

Redaktionelle Informationen bereitgestellt von DB-Engines
NameInfluxDB  Xaus Vergleich ausschliessenLovefield  Xaus Vergleich ausschliessenRavenDB  Xaus Vergleich ausschliessenSingleStore infoformer name was MemSQL  Xaus Vergleich ausschliessenTimesTen  Xaus Vergleich ausschliessen
KurzbeschreibungDBMS for storing time series, events and metricsEmbeddable relational database for web apps written in pure JavaScriptOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseMySQL 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 typeIn-Memory RDBMS compatible to Oracle
Primäres DatenbankmodellTime Series DBMSRelational DBMSDocument StoreRelational DBMSRelational DBMS
Sekundäre DatenbankmodelleSpatial DBMS infowith GEO packageGraph DBMS
Spatial DBMS
Time Series DBMS
Document Store
Spatial DBMS
Time Series DBMS
Vektor DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte25,83
Rang#28  Overall
#1  Time Series DBMS
Punkte0,29
Rang#293  Overall
#133  Relational DBMS
Punkte2,92
Rang#101  Overall
#18  Document Stores
Punkte5,60
Rang#62  Overall
#35  Relational DBMS
Punkte1,31
Rang#163  Overall
#74  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewgoogle.github.io/­lovefieldravendb.netwww.singlestore.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technische Dokumentationdocs.influxdata.com/­influxdbgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdravendb.net/­docsdocs.singlestore.comdocs.oracle.com/­database/­timesten-18.1
EntwicklerGoogleHibernating RhinosSingleStore Inc.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Erscheinungsjahr20132014201020131998
Aktuelle Version2.7.6, April 20242.1.12, February 20175.4, Juli 20228.5, Jänner 202411 Release 2 (11.2.2.8.0)
Lizenz infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0Open Source infoAGPL Version 3, kommerzielle Lizenz verfügbarkommerziell infofree developer edition availablekommerziell
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.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
ImplementierungsspracheGoJavaScriptC#C++, Go
Server BetriebssystemeLinux
OS X infothrough Homebrew
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
macOS
Raspberry Pi
Windows
Linux info64 bit version requiredAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Datenschemaschemafreijaschemafreijaja
Typisierung infovordefinierte Datentypen, z.B. float oder dateNumeric data and Stringsjaneinjaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinnein
Sekundärindizesneinjajajaja
SQL infoSupport of SQLSQL-like query languageSQL-like query language infovia JavaScript builder patternSQL-like query language (RQL)yes infobut no triggers and foreign keysja
APIs und andere ZugriffskonzepteHTTP API
JSON over UDP
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Unterstützte Programmiersprachen.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
JavaScript.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
C
C++
Java
PL/SQL
Server-seitige Scripts infoStored ProceduresneinneinjajaPL/SQL
TriggersneinUsing read-only observersjaneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoin enterprise version onlykeineShardingSharding infohash partitioningkeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenfrei wählbarer Replikationsfaktor infoin enterprise version onlykeineMulti-Source ReplikationSource-Replica Replikation infostores two copies of each physical data partition on two separate nodesMulti-Source Replikation
Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinjanein infocan define user-defined aggregate functions for map-reduce-style calculationsnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Fremdschlüssel inforeferenzielle Integritätneinjaneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDACID, Cluster-wide transaction availableACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajayes, multi-version concurrency control (MVCC)ja
Durability infoDauerhafte Speicherung der Datenjayes, by using IndexedDB or the cloud service Firebase Realtime Databasejaja infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.ja infoby means of logfiles and checkpoints
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenja infoDepending on used storage engineja infousing MemoryDBjaja
Berechtigungskonzept infoZugriffskontrolleEinfache Rechteverwaltung mit BenutzeraccountsneinAuthorization levels configured per client per databaseFine grained access control via users, groups and rolesBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard
Weitere Informationen bereitgestellt vom Systemhersteller
InfluxDBLovefieldRavenDBSingleStore infoformer name was MemSQLTimesTen
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 1,900 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 27,500 GitHub stars Over 750,000 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
InfluxDBLovefieldRavenDBSingleStore infoformer name was MemSQLTimesTen
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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9. Juni 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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14. Februar 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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Erwähnungen in aktuellen Nachrichten

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