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DBMS > BaseX vs. Brytlyt vs. Fujitsu Enterprise Postgres vs. Lovefield

System Properties Comparison BaseX vs. Brytlyt vs. Fujitsu Enterprise Postgres vs. Lovefield

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonBrytlyt  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLEnterprise-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 JavaScript
Primary database modelNative XML DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websitebasex.orgbrytlyt.iowww.postgresql.fastware.comgoogle.github.io/­lovefield
Technical documentationdocs.basex.orgdocs.brytlyt.iowww.postgresql.fastware.com/­product-manualsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperBaseX GmbHBrytlytPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGoogle
Initial release200720162014
Current release10.7, August 20235.0, August 2023Fujitsu Enterprise Postgres 14, January 20222.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoBSD licensecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ and CUDACJavaScript
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyesyes
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 infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesyesSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript
Server-side scripts infoStored proceduresyesuser defined functions infoin PL/pgSQLuser defined functionsno
Triggersyes infovia eventsyesyesUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDB
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno
More information provided by the system vendor
BaseXBrytlytFujitsu Enterprise PostgresLovefield
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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BaseXBrytlytFujitsu Enterprise PostgresLovefield
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