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DBMS > Apache IoTDB vs. Derby vs. FileMaker vs. Hive vs. TerarkDB

System Properties Comparison Apache IoTDB vs. Derby vs. FileMaker vs. Hive vs. TerarkDB

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 comparisonFileMaker  Xexclude from comparisonHive  Xexclude from comparisonTerarkDB  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.FileMaker is a cross-platform RDBMS that includes a GUI frontend.data warehouse software for querying and managing large distributed datasets, built on HadoopA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score4.71
Rank#69  Overall
#37  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteiotdb.apache.orgdb.apache.org/­derbywww.claris.com/­filemakerhive.apache.orggithub.com/­bytedance/­terarkdb
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldb.apache.org/­derby/­manuals/­index.htmlwww.claris.com/­resources/­documentationcwiki.apache.org/­confluence/­display/­Hive/­Homebytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software FoundationApache Software FoundationClaris infoa subsidiary of AppleApache Software Foundation infoinitially developed by FacebookByteDance, originally Terark
Initial release20181997198320122016
Current release1.1.0, April 202310.17.1.0, November 202319.4.1, November 20213.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2commercialOpen Source infoApache Version 2commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC++
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMiOS infoclient part only
Linux
OS X
Windows
All OS with a Java VM
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.noyesyes infoA http query request can return the data in XML formatno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like query languageyesyes infovia pluginsSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
Native API
JDBCFilemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Thrift
C++ API
Java API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
JavaPHPC++
Java
PHP
Python
C++
Java
Server-side scripts infoStored proceduresyesJava Stored Proceduresyesyes infouser defined functions and integration of map-reduceno
Triggersyesyesyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonenoneShardingnone
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 replicationSource-replica replication, warm standby infosince Version 14selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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
User concepts infoAccess controlyesfine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and rolesno

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Apache IoTDBDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBFileMakerHiveTerarkDB
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