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

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

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Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRiak KV  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionFileMaker 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 storeA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.claris.com/­filemakerwww.microsoft.com/­en-us/­microsoft-365/­accesssolr.apache.org
Technical documentationwww.claris.com/­resources/­documentationdeveloper.microsoft.com/­en-us/­accesswww.tiot.jp/­riak-docs/­riak/­kv/­latestsolr.apache.org/­resources.html
DeveloperClaris infoa subsidiary of AppleMicrosoftOpenSource, formerly Basho TechnologiesApache Software Foundation
Initial release1983199220092006
Current release19.4.1, November 20211902 (16.0.11328.20222), March 20193.2.0, December 20229.5.0, February 2024
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache version 2, commercial enterprise editionOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangJava
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux
OS X
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesnoyes infosupports customizable data types and automatic typing
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 formatnoyes
Secondary indexesyesyesrestrictedyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infovia pluginsyes infobut not compliant to any SQL standardnoSolr Parallel SQL Interface
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
HTTP API
Native Erlang Interface
Java API
RESTful HTTP/JSON API
Supported programming languagesPHPC
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
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesyes infosince Access 2010 using the ACE-engineErlangJava plugins
Triggersyesyes infosince Access 2010 using the ACE-engineyes infopre-commit hooks and post-commit hooksyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14noneselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesno infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlsimple 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 Securityyes

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More resources
FileMakerMicrosoft AccessRiak KVSolr
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