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DBMS > EsgynDB vs. FileMaker vs. OrigoDB vs. Sphinx vs. Vitess

System Properties Comparison EsgynDB vs. FileMaker vs. OrigoDB vs. Sphinx vs. Vitess

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonFileMaker  Xexclude from comparisonOrigoDB  Xexclude from comparisonSphinx  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionFileMaker is a cross-platform RDBMS that includes a GUI frontend.A fully ACID in-memory object graph databaseOpen source search engine for searching in data from different sources, e.g. relational databasesScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Search engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.esgyn.cnwww.claris.com/­filemakerorigodb.comsphinxsearch.comvitess.io
Technical documentationwww.claris.com/­resources/­documentationorigodb.com/­docssphinxsearch.com/­docsvitess.io/­docs
DeveloperEsgynClaris infoa subsidiary of AppleRobert Friberg et alSphinx Technologies Inc.The Linux Foundation, PlanetScale
Initial release201519832009 infounder the name LiveDB20012013
Current release19.4.1, November 20213.5.1, February 202315.0.2, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2.0, commercial licenses available
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.
Implementation languageC++, JavaC#C++Go
Server operating systemsLinuxiOS infoclient part only
Linux
OS X
Windows
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Docker
Linux
macOS
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsnoyes
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.noyes infoA http query request can return the data in XML formatno infocan be achieved using .NET
Secondary indexesyesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesyes infovia pluginsnoSQL-like query language (SphinxQL)yes infowith proprietary extensions
APIs and other access methodsADO.NET
JDBC
ODBC
Filemaker WebDirect
JDBC
ODBC
.NET Client API
HTTP API
LINQ
Proprietary protocolADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetPHP.NetC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresJava Stored Proceduresyesyesnoyes infoproprietary syntax
Triggersnoyesyes infoDomain Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replication, warm standby infosince Version 14Source-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesyesdepending on modelnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesRole based authorizationnoUsers with fine-grained authorization concept infono user groups or roles

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EsgynDBFileMakerOrigoDBSphinxVitess
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