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DBMS > Fujitsu Enterprise Postgres vs. Lovefield vs. MySQL vs. Rockset vs. SpatiaLite

System Properties Comparison Fujitsu Enterprise Postgres vs. Lovefield vs. MySQL vs. Rockset vs. SpatiaLite

Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonLovefield  Xexclude from comparisonMySQL  Xexclude from comparisonRockset  Xexclude from comparisonSpatiaLite  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.Embeddable relational database for web apps written in pure JavaScriptWidely used open source RDBMSA scalable, reliable search and analytics service in the cloud, built on RocksDBSpatial extension of SQLite
Primary database modelRelational DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached APIDocument storeSpatial DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
Relational DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitewww.postgresql.fastware.comgoogle.github.io/­lovefieldwww.mysql.comrockset.comwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationwww.postgresql.fastware.com/­product-manualsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddev.mysql.com/­docdocs.rockset.comwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGoogleOracle infosince 2010, originally MySQL AB, then SunRocksetAlessandro Furieri
Initial release2014199520192008
Current releaseFujitsu Enterprise Postgres 14, January 20222.1.12, February 20178.4.0, April 20245.0.0, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenononoyesno
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++C++
Server operating systemsLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
OS X
Solaris
Windows
hostedserver-less
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesdynamic typingyes
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.noyesno infoingestion from XML files supportedno
Secondary indexesyesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLyesSQL-like query language infovia JavaScript builder patternyes infowith proprietary extensionsRead-only SQL queries, including JOINsyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
Proprietary native API
HTTP REST
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
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsnoyes infoproprietary syntaxnono
TriggersyesUsing read-only observersyesnoyes
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashnonehorizontal partitioning, sharding with MySQL Cluster or MySQL FabricAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesyes infonot for MyISAM storage enginenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infonot for MyISAM storage enginenoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes infotable locks or row locks depending on storage engineyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers with fine-grained authorization concept infono user groups or rolesAccess rights for users and organizations can be defined via Rockset consoleno
More information provided by the system vendor
Fujitsu Enterprise PostgresLovefieldMySQLRocksetSpatiaLite
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 PostgresLovefieldMySQLRocksetSpatiaLite
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