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DBMS > FileMaker vs. GigaSpaces vs. Hawkular Metrics vs. Microsoft SQL Server vs. MonetDB

System Properties Comparison FileMaker vs. GigaSpaces vs. Hawkular Metrics vs. Microsoft SQL Server vs. MonetDB

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionFileMaker 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 TransactionsHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Microsofts flagship relational DBMSA relational database management system that stores data in columns
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSRelational DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Document store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websitewww.claris.com/­filemakerwww.gigaspaces.comwww.hawkular.orgwww.microsoft.com/­en-us/­sql-serverwww.monetdb.org
Technical documentationwww.claris.com/­resources/­documentationdocs.gigaspaces.com/­latest/­landing.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidelearn.microsoft.com/­en-US/­sql/­sql-serverwww.monetdb.org/­Documentation
DeveloperClaris infoa subsidiary of AppleGigaspaces TechnologiesCommunity supported by Red HatMicrosoftMonetDB BV
Initial release19832000201419892004
Current release19.4.1, November 202115.5, September 2020SQL Server 2022, November 2022Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0commercial inforestricted free version is availableOpen Source infoMozilla Public License 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.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageJava, C++, .NetJavaC++C
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
Linux
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeyesyes
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 formatno infoXML can be used for describing objects metadatanoyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyes infovia pluginsSQL-99 for query and DML statementsnoyesyes infoSQL 2003 with some extensions
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP RESTADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesPHP.Net
C++
Java
Python
Scala
Go
Java
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyesyesnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes, in SQL, C, R
Triggersyesyes, event driven architectureyes infovia Hawkular Alertingyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on Cassandratables can be distributed across several files (horizontal partitioning); sharding through federationSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factor infobased on Cassandrayes, but depending on the SQL-Server Editionnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
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.yesnoyes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesRole-based access controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
FileMakerGigaSpacesHawkular MetricsMicrosoft SQL ServerMonetDB
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