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DBMS > FileMaker vs. Manticore Search vs. OrigoDB vs. Solr

System Properties Comparison FileMaker vs. Manticore Search vs. OrigoDB vs. Solr

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Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonManticore Search  Xexclude from comparisonOrigoDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Multi-storage database for search, including full-text search.A fully ACID in-memory object graph databaseA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSSearch engineDocument store
Object oriented DBMS
Search engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibrarySpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.claris.com/­filemakermanticoresearch.comorigodb.comsolr.apache.org
Technical documentationwww.claris.com/­resources/­documentationmanual.manticoresearch.comorigodb.com/­docssolr.apache.org/­resources.html
DeveloperClaris infoa subsidiary of AppleManticore SoftwareRobert Friberg et alApache Software Foundation
Initial release198320172009 infounder the name LiveDB2006
Current release19.4.1, November 20216.0, February 20239.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2Open SourceOpen 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++C#Java
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
FreeBSD
Linux
macOS
Windows
Linux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesFixed schemayesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, BooleanUser defined using .NET types and collectionsyes 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 formatCan index from XMLno infocan be achieved using .NETyes
Secondary indexesyesyes infofull-text index on all search fieldsyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infovia pluginsSQL-like query languagenoSolr Parallel SQL Interface
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
.NET Client API
HTTP API
LINQ
Java API
RESTful HTTP/JSON API
Supported programming languagesPHPElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesuser defined functionsyesJava plugins
Triggersyesnoyes infoDomain Eventsyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Synchronous replication based on Galera librarySource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityyesnodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesnoRole based authorizationyes

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More resources
FileMakerManticore SearchOrigoDBSolr
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