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DBMS > Fujitsu Enterprise Postgres vs. LokiJS vs. MySQL vs. Sphinx

System Properties Comparison Fujitsu Enterprise Postgres vs. LokiJS vs. MySQL vs. Sphinx

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonLokiJS  Xexclude from comparisonMySQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.In-memory JavaScript DBMSWidely used open source RDBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSDocument storeRelational DBMS infoKey/Value like access via memcached APISearch engine
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.36
Rank#280  Overall
#127  Relational DBMS
Score0.52
Rank#259  Overall
#41  Document stores
Score1101.50
Rank#2  Overall
#2  Relational DBMS
Score6.06
Rank#61  Overall
#6  Search engines
Websitewww.postgresql.fastware.comgithub.com/­techfort/­LokiJSwww.mysql.comsphinxsearch.com
Technical documentationwww.postgresql.fastware.com/­product-manualstechfort.github.io/­LokiJSdev.mysql.com/­docsphinxsearch.com/­docs
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyOracle infosince 2010, originally MySQL AB, then SunSphinx Technologies Inc.
Initial release201419952001
Current releaseFujitsu Enterprise Postgres 14, January 20228.3.0, January 20243.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoGPL version 2, commercial licence available
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.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageCJavaScriptC and C++C++
Server operating systemsLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesno
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
Secondary indexesyesyes infovia viewsyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesnoyes infowith proprietary extensionsSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JavaScript APIADO.NET
JDBC
ODBC
Proprietary native API
Proprietary protocol
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScriptAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsView functions in JavaScriptyes infoproprietary syntaxno
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashnonehorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single collection possibleACID infonot for MyISAM storage engineno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers with fine-grained authorization concept infono user groups or rolesno
More information provided by the system vendor
Fujitsu Enterprise PostgresLokiJSMySQLSphinx
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
Fujitsu Enterprise PostgresLokiJSMySQLSphinx
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