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DBMS > Apache Phoenix vs. Blueflood vs. Faircom EDGE vs. mSQL vs. ToroDB

System Properties Comparison Apache Phoenix vs. Blueflood vs. Faircom EDGE vs. mSQL vs. ToroDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBlueflood  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseScalable TimeSeries DBMS based on CassandraFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsmSQL (Mini SQL) is a simple and lightweight RDBMSA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSTime Series DBMSKey-value store
Relational DBMS
Relational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Websitephoenix.apache.orgblueflood.iowww.faircom.com/­products/­faircom-edgehughestech.com.au/­products/­msqlgithub.com/­torodb/­server
Technical documentationphoenix.apache.orggithub.com/­rax-maas/­blueflood/­wikidocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.html
DeveloperApache Software FoundationRackspaceFairCom CorporationHughes Technologies8Kdata
Initial release20142013197919942016
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019V3, October 20204.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infoRestricted, free version availablecommercial infofree licenses can be providedOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaANSI C, C++CJava
Server operating systemsLinux
Unix
Windows
Linux
OS X
Android
Linux infoARM, x86
Raspbian
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
All OS with a Java 7 VM
Data schemeyes infolate-bound, schema-on-read capabilitiespredefined schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyesyes infostring, integer, double, boolean, date, object_id
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.nonoyesnono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoyes infoANSI SQL queriesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsJDBCHTTP RESTADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresuser defined functionsnoyes info.Net, JavaScript, C/C++no
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraFile partitioning infoCustomizable business rules for partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandrayes infoSynchronous and asynchronous realtime replication based on transaction logsnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Tunable Consistency
noneEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLnoyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.noAccess rights for users and roles

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More resources
Apache PhoenixBluefloodFaircom EDGE infoformerly c-treeEDGEmSQL infoMini SQLToroDB
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