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DBMS > FileMaker vs. Heroic vs. Hive vs. MonetDB vs. Tigris

System Properties Comparison FileMaker vs. Heroic vs. Hive vs. MonetDB vs. Tigris

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonHeroic  Xexclude from comparisonHive  Xexclude from comparisonMonetDB  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchdata warehouse software for querying and managing large distributed datasets, built on HadoopA relational database management system that stores data in columnsA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitewww.claris.com/­filemakergithub.com/­spotify/­heroichive.apache.orgwww.monetdb.orgwww.tigrisdata.com
Technical documentationwww.claris.com/­resources/­documentationspotify.github.io/­heroiccwiki.apache.org/­confluence/­display/­Hive/­Homewww.monetdb.org/­Documentationwww.tigrisdata.com/­docs
DeveloperClaris infoa subsidiary of AppleSpotifyApache Software Foundation infoinitially developed by FacebookMonetDB BVTigris Data, Inc.
Initial release19832014201220042022
Current release19.4.1, November 20213.1.3, April 2022Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoMozilla Public License 2.0Open Source infoApache Version 2.0
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 languageJavaJavaC
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
All OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesschema-freeyesyesyes
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.yes infoA http query request can return the data in XML formatnono
Secondary indexesyesyes infovia Elasticsearchyesyesyes
SQL infoSupport of SQLyes infovia pluginsnoSQL-like DML and DDL statementsyes infoSQL 2003 with some extensionsno
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
Thrift
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesPHPC++
Java
PHP
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresyesnoyes infouser defined functions and integration of map-reduceyes, in SQL, C, Rno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14yesselectable replication factornone infoSource-replica replication available in experimental statusyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
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, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and rolesfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
FileMakerHeroicHiveMonetDBTigris
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