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DBMS > InfluxDB vs. Postgres-XL vs. Virtuoso

System Properties Comparison InfluxDB vs. Postgres-XL vs. Virtuoso

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonVirtuoso  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresVirtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
Primary database modelTime Series DBMSRelational DBMSDocument store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF store
Search engine
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score26.56
Rank#28  Overall
#1  Time Series DBMS
Score0.52
Rank#256  Overall
#117  Relational DBMS
Score4.20
Rank#83  Overall
#14  Document stores
#4  Graph DBMS
#2  Native XML DBMS
#45  Relational DBMS
#2  RDF stores
#9  Search engines
Websitewww.influxdata.com/­products/­influxdb-overviewwww.postgres-xl.orgvirtuoso.openlinksw.com
Technical documentationdocs.influxdata.com/­influxdbwww.postgres-xl.org/­documentationdocs.openlinksw.com/­virtuoso
DeveloperOpenLink Software
Initial release20132014 infosince 2012, originally named StormDB1998
Current release2.7.5, January 202410 R1, October 20187.2.11, September 2023
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoMozilla public licenseOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoCC
Server operating systemsLinux
OS X infothrough Homebrew
Linux
macOS
AIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyes infoSQL - Standard relational schema
RDF - Quad (S, P, O, G) or Triple (S, P, O)
XML - DTD, XML Schema
DAV - freeform filesystem objects, plus User Defined Types a/k/a Dynamic Extension Type
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyes infoXML type, but no XML query functionalityyes
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like query languageyes infodistributed, parallel query executionyes infoSQL-92, SQL-200x, SQL-3, SQLX
APIs and other access methodsHTTP API
JSON over UDP
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
GeoSPARQL
HTTP API
JDBC
Jena RDF API
ODBC
OLE DB
RDF4J API
RESTful HTTP API
Sesame REST HTTP Protocol
SOAP webservices
SPARQL 1.1
WebDAV
XPath
XQuery
XSLT
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnouser defined functionsyes infoVirtuoso PL
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyhorizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyChain, star, and bi-directional replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage enginenoyes
User concepts infoAccess controlsimple rights management via user accountsfine grained access rights according to SQL-standardFine-grained Attribute-Based Access Control (ABAC) in addition to typical coarse-grained Role-Based Access Control (RBAC) according to SQL-standard. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
InfluxDBPostgres-XLVirtuoso
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Virtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Performance & Scale โ€” as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Used for โ€” Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Broad use across enterprises and governments including โ€” European Union (EU) US Government...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Largest installed-base โ€‹of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
Available in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
InfluxDBPostgres-XLVirtuoso
DB-Engines blog posts

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

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4 July 2016, Matthias Gelbmann

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Recent citations in the news

Run and manage open source InfluxDB databases with Amazon Timestream | Amazon Web Services
14 March 2024, AWS Blog

Amazon Timestream: Managed InfluxDB for Time Series Data
14 March 2024, The New Stack

How the FDAP Stack Gives InfluxDB 3.0 Real-Time Speed, Efficiency
15 March 2024, Datanami

InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World
14 March 2024, Business Wire

AWS and InfluxData partner to offer managed time series database Timestream for InfluxDB
5 April 2024, VentureBeat

provided by Google News



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