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DBMS > Apache IoTDB vs. BaseX vs. Graph Engine vs. InfluxDB

System Properties Comparison Apache IoTDB vs. BaseX vs. Graph Engine vs. InfluxDB

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonBaseX  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonInfluxDB  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineDBMS for storing time series, events and metrics
Primary database modelTime Series DBMSNative XML DBMSGraph DBMS
Key-value store
Time Series DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Websiteiotdb.apache.orgbasex.orgwww.graphengine.iowww.influxdata.com/­products/­influxdb-overview
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.basex.orgwww.graphengine.io/­docs/­manualdocs.influxdata.com/­influxdb
DeveloperApache Software FoundationBaseX GmbHMicrosoft
Initial release2018200720102013
Current release1.1.0, April 202310.7, August 20232.7.6, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD licenseOpen Source infoMIT LicenseOpen Source infoMIT-License; commercial enterprise version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava.NET and CGo
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
.NETLinux
OS X infothrough Homebrew
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyesNumeric data and Strings
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like query languagenonoSQL-like query language
APIs and other access methodsJDBC
Native API
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
RESTful HTTP APIHTTP API
JSON over UDP
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C#
C++
F#
Visual Basic
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyesyesyesno
Triggersyesyes infovia eventsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonehorizontal partitioningSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneselectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writernono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoDepending on used storage engine
User concepts infoAccess controlyesUsers with fine-grained authorization concept on 4 levelssimple rights management via user accounts
More information provided by the system vendor
Apache IoTDBBaseXGraph Engine infoformer name: TrinityInfluxDB
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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