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

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

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonFileMaker  Xexclude from comparisonGraphite  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 FlinkA scale-out RDBMS with evolutionary schema built on Apache HBaseFileMaker 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 WhisperTransactional SQL-on-Hadoop DBMS
Primary database modelTime Series DBMSRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Websiteiotdb.apache.orgphoenix.apache.orgwww.claris.com/­filemakergithub.com/­graphite-project/­graphite-webtrafodion.apache.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlphoenix.apache.orgwww.claris.com/­resources/­documentationgraphite.readthedocs.iotrafodion.apache.org/­documentation.html
DeveloperApache Software FoundationApache Software FoundationClaris infoa subsidiary of AppleChris DavisApache Software Foundation, originally developed by HP
Initial release20182014198320062014
Current release1.1.0, April 20235.0-HBase2, July 2018 and 4.15-HBase1, December 201919.4.1, November 20212.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open 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 languageJavaJavaPythonC++, Java
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
Unix
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
Unix
Linux
Data schemeyesyes infolate-bound, schema-on-read capabilitiesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes
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.nonoyes infoA http query request can return the data in XML formatnono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL-like query languageyesyes infovia pluginsnoyes
APIs and other access methodsJDBC
Native API
JDBCFilemaker WebDirect
JDBC
ODBC
HTTP API
Sockets
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
PHPJavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesuser defined functionsyesnoJava Stored Procedures
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingnonenoneSharding
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 replication
Source-replica replication
Source-replica replication, warm standby infosince Version 14noneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and SparkHadoop integrationnonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infolockingyes
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.yesyesno
User concepts infoAccess controlyesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancysimple rights management via user accounts and connection to external directory servicesnofine grained access rights according to SQL-standard

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