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DBMS > Faircom EDGE vs. FatDB vs. Firebolt vs. HBase

System Properties Comparison Faircom EDGE vs. FatDB vs. Firebolt vs. HBase

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Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFatDB  Xexclude from comparisonFirebolt  Xexclude from comparisonHBase  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA .NET NoSQL DBMS that can integrate with and extend SQL Server.Highly scalable cloud data warehouse and analytics product infoForked from ClickhouseWide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelKey-value store
Relational DBMS
Document store
Key-value store
Relational DBMSWide column store
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
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Websitewww.faircom.com/­products/­faircom-edgewww.firebolt.iohbase.apache.org
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.firebolt.iohbase.apache.org/­book.html
DeveloperFairCom CorporationFatCloudFirebolt Analytics Inc.Apache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release1979201220202008
Current releaseV3, October 20202.3.4, January 2021
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialcommercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++C#Java
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
WindowshostedLinux
Unix
Windows infousing Cygwin
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-free, schema definition possible
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyesoptions to bring your own types, AVRO
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.yesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infoANSI SQL queriesno infoVia inetgration in SQL Serveryesno
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
.Net
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#Go
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes infovia applicationsnoyes infoCoprocessors in Java
Triggersyesyes infovia applicationsnoyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factordepending on storage layerMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency
Foreign keys infoReferential integrityyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.no infoCan implement custom security layer via applicationsAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
Faircom EDGE infoformerly c-treeEDGEFatDBFireboltHBase
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