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DBMS > Fujitsu Enterprise Postgres vs. GeoSpock vs. LokiJS vs. NSDb vs. PouchDB

System Properties Comparison Fujitsu Enterprise Postgres vs. GeoSpock vs. LokiJS vs. NSDb vs. PouchDB

Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonGeoSpock  Xexclude from comparisonLokiJS  Xexclude from comparisonNSDb  Xexclude from comparisonPouchDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Spatial and temporal data processing engine for extreme data scaleIn-memory JavaScript DBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSRelational DBMSDocument storeTime Series DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitewww.postgresql.fastware.comgeospock.comgithub.com/­techfort/­LokiJSnsdb.iopouchdb.com
Technical documentationwww.postgresql.fastware.com/­product-manualstechfort.github.io/­LokiJSnsdb.io/­Architecturepouchdb.com/­guides
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGeoSpockApache Software Foundation
Initial release201420172012
Current releaseFujitsu Enterprise Postgres 14, January 20222.0, September 20197.1.1, June 2019
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, JavascriptJavaScriptJava, ScalaJavaScript
Server operating systemsLinux
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes: int, bigint, decimal, stringno
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.nononono
Secondary indexesyestemporal, categoricalyes infovia viewsall fields are automatically indexedyes infovia views
SQL infoSupport of SQLyesANSI SQL for query only (using Presto)noSQL-like query languageno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCJavaScript APIgRPC
HTTP REST
WebSocket
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScriptJava
Scala
JavaScript
Server-side scripts infoStored proceduresuser defined functionsnoView functions in JavaScriptnoView functions in JavaScript
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashAutomatic shardingnoneShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoatomic operations within a single collection possiblenono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.Using Apache Luceneyes infoby using IndexedDB, WebSQL or LevelDB as backend
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-standardAccess rights for users can be defined per tablenono

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More resources
Fujitsu Enterprise PostgresGeoSpockLokiJSNSDbPouchDB
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