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DBMS > Apache IoTDB vs. FileMaker vs. GigaSpaces vs. Hyprcubd vs. Ingres

System Properties Comparison Apache IoTDB vs. FileMaker vs. GigaSpaces vs. Hyprcubd vs. Ingres

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFileMaker  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHyprcubd  Xexclude from comparisonIngres  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.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsServerless Time Series DBMSWell established RDBMS
Primary database modelTime Series DBMSRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
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
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Websiteiotdb.apache.orgwww.claris.com/­filemakerwww.gigaspaces.comhyprcubd.com (offline)www.actian.com/­databases/­ingres
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.claris.com/­resources/­documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.actian.com/­ingres
DeveloperApache Software FoundationClaris infoa subsidiary of AppleGigaspaces TechnologiesHyprcubd, Inc.Actian Corporation
Initial release2018198320001974 infooriginally developed at University Berkely in early 1970s
Current release1.1.0, April 202319.4.1, November 202115.5, September 202011.2, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++, .NetGoC
Server operating systemsAll OS with a Java VM (>= 1.8)iOS infoclient part only
Linux
OS X
Windows
Linux
macOS
Solaris
Windows
hostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infotime, int, uint, float, stringyes
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 formatno infoXML can be used for describing objects metadatanono infobut tools for importing/exporting data from/to XML-files available
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL-like query languageyes infovia pluginsSQL-99 for query and DML statementsSQL-like query languageyes
APIs and other access methodsJDBC
Native API
Filemaker WebDirect
JDBC
ODBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
gRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
PHP.Net
C++
Java
Python
Scala
Server-side scripts infoStored proceduresyesyesyesnoyes
Triggersyesyesyes, event driven architecturenoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneously
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 infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Ingres Replicator
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes infoMVCC
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.yesyesnono
User concepts infoAccess controlyessimple rights management via user accounts and connection to external directory servicesRole-based access controltoken accessfine grained access rights according to SQL-standard

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More resources
Apache IoTDBFileMakerGigaSpacesHyprcubdIngres
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