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DBMS > Brytlyt vs. FileMaker vs. Microsoft Access vs. Riak KV

System Properties Comparison Brytlyt vs. FileMaker vs. Microsoft Access vs. Riak KV

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonFileMaker  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRiak KV  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.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Distributed, fault tolerant key-value store
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitebrytlyt.iowww.claris.com/­filemakerwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.brytlyt.iowww.claris.com/­resources/­documentationdeveloper.microsoft.com/­en-us/­accesswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperBrytlytClaris infoa subsidiary of AppleMicrosoftOpenSource, formerly Basho Technologies
Initial release2016198319922009
Current release5.0, August 202319.4.1, November 20211902 (16.0.11328.20222), March 20193.2.0, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAC++Erlang
Server operating systemsLinux
OS X
Windows
iOS infoclient part only
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesyesrestricted
SQL infoSupport of SQLyesyes infovia pluginsyes infobut not compliant to any SQL standardno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Filemaker WebDirect
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
HTTP API
Native Erlang Interface
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
PHPC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyesyes infosince Access 2010 using the ACE-engineErlang
Triggersyesyesyes infosince Access 2010 using the ACE-engineyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication, warm standby infosince Version 14noneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesno infoa simple user-level security was built in till version Access 2003yes, using Riak Security

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More resources
BrytlytFileMakerMicrosoft AccessRiak KV
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