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DBMS > Brytlyt vs. FileMaker vs. Fujitsu Enterprise Postgres vs. Lovefield

System Properties Comparison Brytlyt vs. FileMaker vs. Fujitsu Enterprise Postgres vs. Lovefield

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonFileMaker  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLFileMaker is a cross-platform RDBMS that includes a GUI frontend.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Embeddable relational database for web apps written in pure JavaScript
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#292  Overall
#132  Relational DBMS
Score45.20
Rank#20  Overall
#14  Relational DBMS
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score0.22
Rank#306  Overall
#138  Relational DBMS
Websitebrytlyt.iowww.claris.com/­filemakerwww.postgresql.fastware.comgoogle.github.io/­lovefield
Technical documentationdocs.brytlyt.iowww.claris.com/­resources/­documentationwww.postgresql.fastware.com/­product-manualsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperBrytlytClaris infoa subsidiary of ApplePostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGoogle
Initial release201619832014
Current release5.0, August 202319.4.1, November 2021Fujitsu Enterprise Postgres 14, January 20222.1.12, February 2017
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDACJavaScript
Server operating systemsLinux
OS X
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesyesyesyes
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 infospecific XML-type available, but no XML query functionality.yes infoA http query request can return the data in XML formatno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyes infovia pluginsyesSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Filemaker WebDirect
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
PHP.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyesuser defined functionsno
TriggersyesyesyesUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication, warm standby infosince Version 14Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDB
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesfine grained access rights according to SQL-standardno

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More resources
BrytlytFileMakerFujitsu Enterprise PostgresLovefield
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