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DBMS > Faircom EDGE vs. GBase vs. Hazelcast vs. Quasardb

System Properties Comparison Faircom EDGE vs. GBase vs. Hazelcast vs. Quasardb

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Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGBase  Xexclude from comparisonHazelcast  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A widely adopted in-memory data gridDistributed, high-performance timeseries database
Primary database modelKey-value store
Relational DBMS
Relational DBMSKey-value storeTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
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
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.faircom.com/­products/­faircom-edgewww.gbase.cnhazelcast.comquasar.ai
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlhazelcast.org/­imdg/­docsdoc.quasar.ai/­master
DeveloperFairCom CorporationGeneral Data Technology Co., Ltd.Hazelcastquasardb
Initial release1979200420082009
Current releaseV3, October 2020GBase 8a, GBase 8s, GBase 8c5.3.6, November 20233.14.1, January 2024
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialOpen Source infoApache Version 2; commercial licenses availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++C, Java, PythonJavaC++
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
LinuxAll OS with a Java VMBSD
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyesyes infointeger and binary
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.yesyesyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLyes infoANSI SQL queriesStandard with numerous extensionsSQL-like query languageSQL-like query language
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
C API
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
HTTP API
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++user defined functionsyes infoEvent Listeners, Executor Servicesno
Triggersyesyesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioninghorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsyesyes infoReplicated MapSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoTransient mode
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.yesRole-based access controlCryptographically strong user authentication and audit trail

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More resources
Faircom EDGE infoformerly c-treeEDGEGBaseHazelcastQuasardb
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