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

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

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFileMaker  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonTimesTen  Xexclude from comparisonWakandaDB  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 engineIn-Memory RDBMS compatible to OracleWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelTime Series DBMSRelational DBMSGraph DBMS
Key-value store
Relational DBMSObject oriented 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
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score1.31
Rank#163  Overall
#74  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websiteiotdb.apache.orgwww.claris.com/­filemakerwww.graphengine.iowww.oracle.com/­database/­technologies/­related/­timesten.htmlwakanda.github.io
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.claris.com/­resources/­documentationwww.graphengine.io/­docs/­manualdocs.oracle.com/­database/­timesten-18.1wakanda.github.io/­doc
DeveloperApache Software FoundationClaris infoa subsidiary of AppleMicrosoftOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Wakanda SAS
Initial release20181983201019982012
Current release1.1.0, April 202319.4.1, November 202111 Release 2 (11.2.2.8.0)2.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoMIT LicensecommercialOpen Source infoAGPLv3, extended commercial license available
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++, JavaScript
Server operating systemsAll OS with a Java VM (>= 1.8)iOS infoclient part only
Linux
OS X
Windows
.NETAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
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 indexesyesyesyes
SQL infoSupport of SQLSQL-like query languageyes infovia pluginsnoyesno
APIs and other access methodsJDBC
Native API
Filemaker WebDirect
JDBC
ODBC
RESTful HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
PHPC#
C++
F#
Visual Basic
C
C++
Java
PL/SQL
JavaScript
Server-side scripts infoStored proceduresyesyesyesPL/SQLyes
Triggersyesyesnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonehorizontal partitioningnonenone
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 14Multi-source replication
Source-replica replication
none
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 Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
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 storageyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlyessimple rights management via user accounts and connection to external directory servicesfine grained access rights according to SQL-standardyes

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More resources
Apache IoTDBFileMakerGraph Engine infoformer name: TrinityTimesTenWakandaDB
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