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DBMS > FileMaker vs. Google Cloud Bigtable vs. HBase vs. MonetDB

System Properties Comparison FileMaker vs. Google Cloud Bigtable vs. HBase vs. MonetDB

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Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHBase  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Wide-column store based on Apache Hadoop and on concepts of BigTableA relational database management system that stores data in columns
Primary database modelRelational DBMSKey-value store
Wide column store
Wide column storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websitewww.claris.com/­filemakercloud.google.com/­bigtablehbase.apache.orgwww.monetdb.org
Technical documentationwww.claris.com/­resources/­documentationcloud.google.com/­bigtable/­docshbase.apache.org/­book.htmlwww.monetdb.org/­Documentation
DeveloperClaris infoa subsidiary of AppleGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetMonetDB BV
Initial release1983201520082004
Current release19.4.1, November 20212.3.4, January 2021Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2Open Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
hostedLinux
Unix
Windows infousing Cygwin
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesnooptions to bring your own types, AVROyes
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 indexesyesnonoyes
SQL infoSupport of SQLyes infovia pluginsnonoyes infoSQL 2003 with some extensions
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
RESTful HTTP API
Thrift
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesPHPC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyesnoyes infoCoprocessors in Javayes, in SQL, C, R
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Internal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
none infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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, groups and roles based on Google Cloud Identity and Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standard

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More resources
FileMakerGoogle Cloud BigtableHBaseMonetDB
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