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DBMS > FileMaker vs. GeoSpock vs. Hive vs. Ignite vs. OpenQM

System Properties Comparison FileMaker vs. GeoSpock vs. Hive vs. Ignite vs. OpenQM

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonGeoSpock  Xexclude from comparisonHive  Xexclude from comparisonIgnite  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Spatial and temporal data processing engine for extreme data scaledata warehouse software for querying and managing large distributed datasets, built on HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.QpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store
Relational DBMS
Multivalue DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Websitewww.claris.com/­filemakergeospock.comhive.apache.orgignite.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationwww.claris.com/­resources/­documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeapacheignite.readme.io/­docs
DeveloperClaris infoa subsidiary of AppleGeoSpockApache Software Foundation infoinitially developed by FacebookApache Software FoundationRocket Software, originally Martin Phillips
Initial release1983201220151993
Current release19.4.1, November 20212.0, September 20193.1.3, April 2022Apache Ignite 2.63.4-12
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptJavaC++, Java, .Net
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
hostedAll OS with a Java VMLinux
OS X
Solaris
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeyesyesyesyesyes infowith some exceptions
Typing infopredefined data types such as float or dateyesyesyesyes
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.yes infoA http query request can return the data in XML formatnoyesyes
Secondary indexesyestemporal, categoricalyesyesyes
SQL infoSupport of SQLyes infovia pluginsANSI SQL for query only (using Presto)SQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
JDBCJDBC
ODBC
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesPHPC++
Java
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresyesnoyes infouser defined functions and integration of map-reduceyes (compute grid and cache interceptors can be used instead)yes
Triggersyesnonoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14selectable replication factoryes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
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 persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesAccess rights for users can be defined per tableAccess rights for users, groups and rolesSecurity Hooks for custom implementationsAccess rights can be defined down to the item level

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More resources
FileMakerGeoSpockHiveIgniteOpenQM infoalso called QM
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