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DBMS > AlaSQL vs. Faircom EDGE vs. Fujitsu Enterprise Postgres vs. jBASE

System Properties Comparison AlaSQL vs. Faircom EDGE vs. Fujitsu Enterprise Postgres vs. jBASE

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonjBASE  Xexclude from comparison
DescriptionJavaScript DBMS libraryFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A robust multi-value DBMS comprising development tools and middleware
Primary database modelDocument store
Relational DBMS
Key-value store
Relational DBMS
Relational DBMSMultivalue DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Websitealasql.orgwww.faircom.com/­products/­faircom-edgewww.postgresql.fastware.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationgithub.com/­AlaSQL/­alasqldocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.postgresql.fastware.com/­product-manualsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperAndrey Gershun & Mathias R. WulffFairCom CorporationPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyRocket Software (formerly Zumasys)
Initial release201419791991
Current releaseV3, October 2020Fujitsu Enterprise Postgres 14, January 20225.7
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infoRestricted, free version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptANSI C, C++C
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Android
Linux infoARM, x86
Raspbian
Windows
Linux
Windows
AIX
Linux
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or datenoyes, ANSI Standard SQL Typesyesoptional
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.noyesyes
Secondary indexesnoyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yes infoANSI SQL queriesyesEmbedded SQL for jBASE in BASIC
APIs and other access methodsJavaScript APIADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesJavaScriptC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++user defined functionsyes
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning infoCustomizable business rules for partitioningpartitioning by range, list and by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infowhen using SQLyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.fine grained access rights according to SQL-standardAccess rights can be defined down to the item level
More information provided by the system vendor
AlaSQLFaircom EDGE infoformerly c-treeEDGEFujitsu Enterprise PostgresjBASE
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
AlaSQLFaircom EDGE infoformerly c-treeEDGEFujitsu Enterprise PostgresjBASE
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