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DBMS > Apache IoTDB vs. Derby vs. InfluxDB vs. SQLite vs. Tkrzw

System Properties Comparison Apache IoTDB vs. Derby vs. InfluxDB vs. SQLite vs. Tkrzw

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonSQLite  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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 FlinkFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.DBMS for storing time series, events and metricsWidely used embeddable, in-process RDBMSA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#183  Overall
#15  Time Series DBMS
Score5.96
Rank#63  Overall
#36  Relational DBMS
Score26.89
Rank#28  Overall
#1  Time Series DBMS
Score118.16
Rank#10  Overall
#7  Relational DBMS
Score0.05
Rank#380  Overall
#59  Key-value stores
Websiteiotdb.apache.orgdb.apache.org/­derbywww.influxdata.com/­products/­influxdb-overviewwww.sqlite.orgdbmx.net/­tkrzw
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldb.apache.org/­derby/­manuals/­index.htmldocs.influxdata.com/­influxdbwww.sqlite.org/­docs.html
DeveloperApache Software FoundationApache Software FoundationDwayne Richard HippMikio Hirabayashi
Initial release20181997201320002020
Current release1.1.0, April 202310.17.1.0, November 20232.7.5, January 20243.45.2  (12 March 2024), March 20240.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoMIT-License; commercial enterprise version availableOpen Source infoPublic DomainOpen Source infoApache Version 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 languageJavaJavaGoCC++
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMLinux
OS X infothrough Homebrew
server-lessLinux
macOS
Data schemeyesyesschema-freeyes infodynamic column typesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyes infonot rigid because of 'dynamic typing' concept.no
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.noyesnonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query languageyesSQL-like query languageyes infoSQL-92 is not fully supportedno
APIs and other access methodsJDBC
Native API
JDBCHTTP API
JSON over UDP
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Java.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesJava Stored Proceduresnonono
Triggersyesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneSharding infoin enterprise version onlynonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationselectable replication factor infoin enterprise version onlynonenone
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
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locksyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoDepending on used storage engineyesyes infousing specific database classes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardsimple rights management via user accountsnono
More information provided by the system vendor
Apache IoTDBDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBInfluxDBSQLiteTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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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