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DBMS > Faircom EDGE vs. Hive vs. jBASE vs. SQL.JS vs. Yaacomo

System Properties Comparison Faircom EDGE vs. Hive vs. jBASE vs. SQL.JS vs. Yaacomo

Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHive  Xexclude from comparisonjBASE  Xexclude from comparisonSQL.JS  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsdata warehouse software for querying and managing large distributed datasets, built on HadoopA robust multi-value DBMS comprising development tools and middlewarePort of SQLite to JavaScriptOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelKey-value store
Relational DBMS
Relational DBMSMultivalue DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websitewww.faircom.com/­products/­faircom-edgehive.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasesql.js.orgyaacomo.com
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9sql.js.org/­documentation/­index.html
DeveloperFairCom CorporationApache Software Foundation infoinitially developed by FacebookRocket Software (formerly Zumasys)Alon Zakai infoenhancements implemented by othersQ2WEB GmbH
Initial release19792012199120122009
Current releaseV3, October 20203.1.3, April 20225.7
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoApache Version 2commercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++JavaJavaScript
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
All OS with a Java VMAIX
Linux
Windows
server-less, requires a JavaScript environment (browser, Node.js)Android
Linux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyesyes
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesoptionalyesyes
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.yesyesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infoANSI SQL queriesSQL-like DML and DDL statementsEmbedded SQL for jBASE in BASICyes infoSQL-92 is not fully supportedyes
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JavaScript APIJDBC
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C++
Java
PHP
Python
.Net
Basic
Jabbascript
Java
JavaScript
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes infouser defined functions and integration of map-reduceyesno
Triggersyesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningShardingShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factoryesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Eventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyesyes
Durability infoSupport for making data persistentyesyesyesno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users, groups and rolesAccess rights can be defined down to the item levelnofine grained access rights according to SQL-standard

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More resources
Faircom EDGE infoformerly c-treeEDGEHivejBASESQL.JSYaacomo
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