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DBMS > Apache IoTDB vs. FileMaker vs. Graphite vs. Sphinx vs. Trafodion

System Properties Comparison Apache IoTDB vs. FileMaker vs. Graphite vs. Sphinx vs. Trafodion

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFileMaker  Xexclude from comparisonGraphite  Xexclude from comparisonSphinx  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it 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 FlinkFileMaker is a cross-platform RDBMS that includes a GUI frontend.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperOpen source search engine for searching in data from different sources, e.g. relational databasesTransactional SQL-on-Hadoop DBMS
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteiotdb.apache.orgwww.claris.com/­filemakergithub.com/­graphite-project/­graphite-websphinxsearch.comtrafodion.apache.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.claris.com/­resources/­documentationgraphite.readthedocs.iosphinxsearch.com/­docstrafodion.apache.org/­documentation.html
DeveloperApache Software FoundationClaris infoa subsidiary of AppleChris DavisSphinx Technologies Inc.Apache Software Foundation, originally developed by HP
Initial release20181983200620012014
Current release1.1.0, April 202319.4.1, November 20213.5.1, February 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonC++C++, Java
Server operating systemsAll OS with a Java VM (>= 1.8)iOS infoclient part only
Linux
OS X
Windows
Linux
Unix
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlynoyes
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.noyes infoA http query request can return the data in XML formatnono
Secondary indexesyesyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query languageyes infovia pluginsnoSQL-like query language (SphinxQL)yes
APIs and other access methodsJDBC
Native API
Filemaker WebDirect
JDBC
ODBC
HTTP API
Sockets
Proprietary protocolADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
PHPJavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesyesnonoJava Stored Procedures
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonenoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
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 replication, warm standby infosince Version 14nonenoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
noneImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyessimple rights management via user accounts and connection to external directory servicesnonofine grained access rights according to SQL-standard

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Apache IoTDBFileMakerGraphiteSphinxTrafodion
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