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DBMS > BaseX vs. FoundationDB vs. Fujitsu Enterprise Postgres vs. HarperDB

System Properties Comparison BaseX vs. FoundationDB vs. Fujitsu Enterprise Postgres vs. HarperDB

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonFoundationDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHarperDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Ordered key-value store. Core features are complimented by layers.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.
Primary database modelNative XML DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSDocument store
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
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Websitebasex.orggithub.com/­apple/­foundationdbwww.postgresql.fastware.comwww.harperdb.io
Technical documentationdocs.basex.orgapple.github.io/­foundationdbwww.postgresql.fastware.com/­product-manualsdocs.harperdb.io/­docs
DeveloperBaseX GmbHFoundationDBPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHarperDB
Initial release200720132017
Current release11.0, June 20246.2.28, November 2020Fujitsu Enterprise Postgres 14, January 20223.1, August 2021
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoApache 2.0commercialcommercial infofree community edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++CNode.js
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
Windows
Linux
OS X
Data schemeschema-freeschema-free infosome layers support schemasyesdynamic schema
Typing infopredefined data types such as float or dateno infoXQuery supports typesno infosome layers support typingyesyes infoJSON data types
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.no
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnosupported in specific SQL layer onlyyesSQL-like data manipulation statements
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
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Server-side scripts infoStored proceduresyesin SQL-layer onlyuser defined functionsCustom Functions infosince release 3.1
Triggersyes infovia eventsnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingpartitioning by range, list and by hashA table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replicationyes infothe nodes on which a table resides can be defined
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlyyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACIDACIDAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes, using LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsnofine grained access rights according to SQL-standardAccess rights for users and roles

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BaseXFoundationDBFujitsu Enterprise PostgresHarperDB
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