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DBMS > Apache IoTDB vs. FileMaker vs. Graph Engine vs. SpaceTime vs. TimesTen

System Properties Comparison Apache IoTDB vs. FileMaker vs. Graph Engine vs. SpaceTime vs. TimesTen

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFileMaker  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonSpaceTime  Xexclude from comparisonTimesTen  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 FlinkFileMaker is a cross-platform RDBMS that includes a GUI frontend.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineSpaceTime is a spatio-temporal DBMS with a focus on performance.In-Memory RDBMS compatible to Oracle
Primary database modelTime Series DBMSRelational DBMSGraph DBMS
Key-value store
Spatial DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#183  Overall
#15  Time Series DBMS
Score48.81
Rank#21  Overall
#15  Relational DBMS
Score0.64
Rank#241  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.00
Rank#394  Overall
#8  Spatial DBMS
Score1.59
Rank#157  Overall
#72  Relational DBMS
Websiteiotdb.apache.orgwww.claris.com/­filemakerwww.graphengine.iowww.mireo.com/­spacetimewww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.claris.com/­resources/­documentationwww.graphengine.io/­docs/­manualdocs.oracle.com/­database/­timesten-18.1
DeveloperApache Software FoundationClaris infoa subsidiary of AppleMicrosoftMireoOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20181983201020201998
Current release1.1.0, April 202319.4.1, November 202111 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoMIT Licensecommercialcommercial
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 languageJava.NET and CC++
Server operating systemsAll OS with a Java VM (>= 1.8)iOS infoclient part only
Linux
OS X
Windows
.NETLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 formatnonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query languageyes infovia pluginsnoA subset of ANSI SQL is implementedyes
APIs and other access methodsJDBC
Native API
Filemaker WebDirect
JDBC
ODBC
RESTful HTTP APIRESTful HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
PHPC#
C++
F#
Visual Basic
C#
C++
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesyesyesnoPL/SQL
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonehorizontal partitioningFixed-grid hypercubesnone
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 14Real-time block device replication (DRBD)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlyessimple rights management via user accounts and connection to external directory servicesyesfine grained access rights according to SQL-standard

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More resources
Apache IoTDBFileMakerGraph Engine infoformer name: TrinitySpaceTimeTimesTen
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