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DBMS > InfluxDB vs. Postgres-XL vs. SiteWhere vs. Sphinx

System Properties Comparison InfluxDB vs. Postgres-XL vs. SiteWhere vs. Sphinx

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSiteWhere  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresM2M integration platform for persisting/querying time series dataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSSearch engine
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.influxdata.com/­products/­influxdb-overviewwww.postgres-xl.orggithub.com/­sitewhere/­sitewheresphinxsearch.com
Technical documentationdocs.influxdata.com/­influxdbwww.postgres-xl.org/­documentationsitewhere1.sitewhere.io/­index.htmlsphinxsearch.com/­docs
DeveloperSiteWhereSphinx Technologies Inc.
Initial release20132014 infosince 2012, originally named StormDB20102001
Current release2.7.6, April 202410 R1, October 20183.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoMozilla public licenseOpen Source infoCommon Public Attribution License Version 1.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoCJavaC++
Server operating systemsLinux
OS X infothrough Homebrew
Linux
macOS
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyespredefined schemeyes
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyesno
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 functionalityno
Secondary indexesnoyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageyes infodistributed, parallel query executionnoSQL-like query language (SphinxQL)
APIs and other access methodsHTTP API
JSON over UDP
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP RESTProprietary protocol
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
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyhorizontal partitioningSharding infobased on HBaseSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoMVCCnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage enginenono
User concepts infoAccess controlsimple rights management via user accountsfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptno
More information provided by the system vendor
InfluxDBPostgres-XLSiteWhereSphinx
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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More resources
InfluxDBPostgres-XLSiteWhereSphinx
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Recent citations in the news

Introducing Amazon Timestream for InfluxDB: A managed service for the popular open source time-series database ...
20 May 2024, AWS Blog

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14 March 2024, The New Stack

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14 March 2024, Business Wire

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15 March 2024, Datanami

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14 March 2024, AWS Blog

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