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DBMS > Apache IoTDB vs. Apache Jena - TDB vs. Drizzle vs. InfluxDB vs. Lovefield

System Properties Comparison Apache IoTDB vs. Apache Jena - TDB vs. Drizzle vs. InfluxDB vs. Lovefield

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonDrizzle  Xexclude from comparisonInfluxDB  Xexclude from comparisonLovefield  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
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 FlinkA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.DBMS for storing time series, events and metricsEmbeddable relational database for web apps written in pure JavaScript
Primary database modelTime Series DBMSRDF storeRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score3.62
Rank#83  Overall
#3  RDF stores
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websiteiotdb.apache.orgjena.apache.org/­documentation/­tdb/­index.htmlwww.influxdata.com/­products/­influxdb-overviewgoogle.github.io/­lovefield
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmljena.apache.org/­documentation/­tdb/­index.htmldocs.influxdata.com/­influxdbgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperApache Software FoundationApache Software Foundation infooriginally developed by HP LabsDrizzle project, originally started by Brian AkerGoogle
Initial release20182000200820132014
Current release1.1.0, April 20234.9.0, July 20237.2.4, September 20122.7.6, April 20242.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache License, Version 2.0Open Source infoGNU GPLOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++GoJavaScript
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMFreeBSD
Linux
OS X
Linux
OS X infothrough Homebrew
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesyes infoRDF Schemasyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data and Stringsyes
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 indexesyesyesyesnoyes
SQL infoSupport of SQLSQL-like query languagenoyes infowith proprietary extensionsSQL-like query languageSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsJDBC
Native API
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
JDBCHTTP API
JSON over UDP
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
JavaC
C++
Java
PHP
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
JavaScript
Server-side scripts infoStored proceduresyesyesnonono
Triggersyesyes infovia event handlerno infohooks for callbacks inside the server can be used.noUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardingSharding infoin enterprise version onlynone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneMulti-source replication
Source-replica replication
selectable replication factor infoin enterprise version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoTDB TransactionsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engineyes infousing MemoryDB
User concepts infoAccess controlyesAccess control via Jena SecurityPluggable authentication mechanisms infoe.g. LDAP, HTTPsimple rights management via user accountsno
More information provided by the system vendor
Apache IoTDBApache Jena - TDBDrizzleInfluxDBLovefield
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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