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DBMS > Faircom DB vs. Faircom EDGE vs. InfluxDB vs. QuestDB vs. Yanza

Vergleich der Systemeigenschaften Faircom DB vs. Faircom EDGE vs. InfluxDB vs. QuestDB vs. Yanza

Redaktionelle Informationen bereitgestellt von DB-Engines
NameFaircom DB infoformerly c-treeACE  Xaus Vergleich ausschliessenFaircom EDGE infoformerly c-treeEDGE  Xaus Vergleich ausschliessenInfluxDB  Xaus Vergleich ausschliessenQuestDB  Xaus Vergleich ausschliessenYanza  Xaus Vergleich ausschliessen
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
KurzbeschreibungNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsDBMS for storing time series, events and metricsA high performance open source SQL database for time series dataTime Series DBMS for IoT Applications
Primäres DatenbankmodellKey-Value Store
Relational DBMS
Key-Value Store
Relational DBMS
Time Series DBMSTime Series DBMSTime Series DBMS
Sekundäre DatenbankmodelleSpatial DBMS infowith GEO packageRelational DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,29
Rang#304  Overall
#43  Key-Value Stores
#136  Relational DBMS
Punkte0,09
Rang#362  Overall
#53  Key-Value Stores
#155  Relational DBMS
Punkte24,39
Rang#28  Overall
#1  Time Series DBMS
Punkte2,70
Rang#105  Overall
#8  Time Series DBMS
Websitewww.faircom.com/­products/­faircom-dbwww.faircom.com/­products/­faircom-edgewww.influxdata.com/­products/­influxdb-overviewquestdb.ioyanza.com
Technische Dokumentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.influxdata.com/­influxdbquestdb.io/­docs
EntwicklerFairCom CorporationFairCom CorporationQuestDB Technology IncYanza
Erscheinungsjahr19791979201320142015
Aktuelle VersionV12, November 2020V3, Oktober 20202.7.6, April 2024
Lizenz infoCommercial or Open Sourcekommerziell infoRestricted, free version availablekommerziell infoRestricted, free version availableOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0kommerziell infofree version available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinneinnein infobut mainly used as a service provided by Yanza
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheANSI C, C++ANSI C, C++GoJava (Zero-GC), C++, Rust
Server BetriebssystemeAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Android
Linux infoARM, x86
Raspbian
Windows
Linux
OS X infothrough Homebrew
Linux
macOS
Windows
Windows
Datenschemaschema free, schema optional, schema required, partial schema,Flexible Schema (defined schema, partial schema, schema free)schemafreija infoschema-free via InfluxDB Line Protocolschemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder dateja, ANSI Standard SQL Types, JSON, typed binary structuresja, ANSI Standard SQL TypesNumeric data and Stringsjanein
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjaneinneinnein
Sekundärindizesjajaneinneinnein
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsja infoANSI SQL queriesSQL-like query languageSQL with time-series extensionsnein
APIs und andere ZugriffskonzepteADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
HTTP API
JSON over UDP
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
HTTP API
Unterstützte Programmiersprachen.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
jede Sprache, die HTTP-Aufrufe erlaubt
Server-seitige Scripts infoStored Proceduresja info.Net, JavaScript, C/C++ja info.Net, JavaScript, C/C++neinneinnein
Triggersjajaneinneinja infoTimer and event based
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningFile partitioning infoCustomizable business rules for partitioningSharding infoin enterprise version onlyhorizontal partitioning (by timestamps)keine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).ja infoSynchronous and asynchronous realtime replication based on transaction logsfrei wählbarer Replikationsfaktor infoin enterprise version onlySource-replica replication with eventual consistencykeine
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinneinneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätjaja infowhen using SQLneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationentunable from ACID to Eventually ConsistentACIDneinACID for single-table writesnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjaja infoacross SQL and NoSQLjajaja
Durability infoDauerhafte Speicherung der DatenYes, tunable from durable to delayed durability to in-memoryjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaja infoDepending on used storage engineja infothrough memory mapped files
Berechtigungskonzept infoZugriffskontrolleFine grained access rights according to SQL-standard with additional protections for filesFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Einfache Rechteverwaltung mit Benutzeraccountsnein
Weitere Informationen bereitgestellt vom Systemhersteller
Faircom DB infoformerly c-treeACEFaircom EDGE infoformerly c-treeEDGEInfluxDBQuestDBYanza
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» mehr
Relational model with native time series support Column-based storage and time partitioned...
» mehr
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» mehr
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» mehr
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» mehr
Financial tick data Industrial IoT Application Metrics Monitoring
» mehr
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» mehr
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» mehr
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» mehr
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» mehr
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» mehr
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Weitere Ressourcen
Faircom DB infoformerly c-treeACEFaircom EDGE infoformerly c-treeEDGEInfluxDBQuestDBYanza
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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