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DBMS > Apache IoTDB vs. Geode vs. InfluxDB vs. PouchDB

System Properties Comparison Apache IoTDB vs. Geode vs. InfluxDB vs. PouchDB

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonGeode  Xexclude from comparisonInfluxDB  Xexclude from comparisonPouchDB  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 FlinkGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesDBMS for storing time series, events and metricsJavaScript DBMS with an API inspired by CouchDB
Primary database modelTime Series DBMSKey-value storeTime Series DBMSDocument store
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
Score1.92
Rank#131  Overall
#23  Key-value stores
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websiteiotdb.apache.orggeode.apache.orgwww.influxdata.com/­products/­influxdb-overviewpouchdb.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlgeode.apache.org/­docsdocs.influxdata.com/­influxdbpouchdb.com/­guides
DeveloperApache Software FoundationOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Apache Software Foundation
Initial release2018200220132012
Current release1.1.0, April 20231.1, February 20172.7.6, April 20247.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoMIT-License; commercial enterprise version availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGoJavaScript
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X infothrough Homebrew
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsno
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.nononono
Secondary indexesyesnonoyes infovia views
SQL infoSupport of SQLSQL-like query languageSQL-like query language (OQL)SQL-like query languageno
APIs and other access methodsJDBC
Native API
Java Client API
Memcached protocol
RESTful HTTP API
HTTP API
JSON over UDP
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
JavaScript
Server-side scripts infoStored proceduresyesuser defined functionsnoView functions in JavaScript
Triggersyesyes infoCache Event Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingSharding infoin enterprise version onlySharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replicationselectable replication factor infoin enterprise version onlyMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodenono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoDepending on used storage engineyes
User concepts infoAccess controlyesAccess rights per client and object definablesimple rights management via user accountsno
More information provided by the system vendor
Apache IoTDBGeodeInfluxDBPouchDB
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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