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DBMS > Apache IoTDB vs. FileMaker vs. Hyprcubd vs. Percona Server for MongoDB vs. Sadas Engine

System Properties Comparison Apache IoTDB vs. FileMaker vs. Hyprcubd vs. Percona Server for MongoDB vs. Sadas Engine

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFileMaker  Xexclude from comparisonHyprcubd  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSadas Engine  Xexclude from comparison
Hyprcubd seems to be discontinued. 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.Serverless Time Series DBMSA drop-in replacement for MongoDB Community Edition with enterprise-grade features.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websiteiotdb.apache.orgwww.claris.com/­filemakerhyprcubd.com (offline)www.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.sadasengine.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.claris.com/­resources/­documentationdocs.percona.com/­percona-distribution-for-mongodbwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software FoundationClaris infoa subsidiary of AppleHyprcubd, Inc.PerconaSADAS s.r.l.
Initial release2018198320152006
Current release1.1.0, April 202319.4.1, November 20213.4.10-2.10, November 20178.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoGPL Version 2commercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++C++
Server operating systemsAll OS with a Java VM (>= 1.8)iOS infoclient part only
Linux
OS X
Windows
hostedLinuxAIX
Linux
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringyesyes
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 indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like query languageyes infovia pluginsSQL-like query languagenoyes
APIs and other access methodsJDBC
Native API
Filemaker WebDirect
JDBC
ODBC
gRPC (https)proprietary protocol using JSONJDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
PHPActionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyesyesnoJavaScriptno
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardinghorizontal partitioning
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 14Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
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.yesnoyes infovia In-Memory Engineyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlyessimple rights management via user accounts and connection to external directory servicestoken accessAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache IoTDBFileMakerHyprcubdPercona Server for MongoDBSadas Engine
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