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DBMS > Fujitsu Enterprise Postgres vs. LokiJS vs. searchxml vs. Sqrrl

System Properties Comparison Fujitsu Enterprise Postgres vs. LokiJS vs. searchxml vs. Sqrrl

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonLokiJS  Xexclude from comparisonsearchxml  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed 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.In-memory JavaScript DBMSDBMS for structured and unstructured content wrapped with an application serverAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSDocument storeNative XML DBMS
Search engine
Document store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
Spatial 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
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websitewww.postgresql.fastware.comgithub.com/­techfort/­LokiJSwww.searchxml.net/­category/­productssqrrl.com
Technical documentationwww.postgresql.fastware.com/­product-manualstechfort.github.io/­LokiJSwww.searchxml.net/­support/­handouts
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software Technologyinformationpartners gmbhAmazon infooriginally Sqrrl Data, Inc.
Initial release201420152012
Current releaseFujitsu Enterprise Postgres 14, January 20221.0
License infoCommercial or Open SourcecommercialOpen Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaScriptC++Java
Server operating systemsLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js)WindowsLinux
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesyes
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
SQL infoSupport of SQLyesnonono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JavaScript APIRESTful HTTP API
WebDAV
XQuery
XSLT
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScriptC++ infomost other programming languages supported via APIsActionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresuser defined functionsView functions in JavaScriptyes infoon the application serverno
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashnonenoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes infosychronisation to multiple collectionsselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single collection possiblemultiple readers, single writerAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoDomain, group and role-based access control at the document level and for application servicesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Fujitsu Enterprise PostgresLokiJSsearchxmlSqrrl
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