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DBMS > Apache Phoenix vs. Faircom EDGE vs. SWC-DB vs. TigerGraph vs. Yanza

System Properties Comparison Apache Phoenix vs. Faircom EDGE vs. SWC-DB vs. TigerGraph vs. Yanza

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTigerGraph  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA high performance, scalable Wide Column DBMSA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeTime Series DBMS for IoT Applications
Primary database modelRelational DBMSKey-value store
Relational DBMS
Wide column storeGraph DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score0.02
Rank#370  Overall
#55  Key-value stores
#157  Relational DBMS
Score0.01
Rank#378  Overall
#13  Wide column stores
Score1.44
Rank#152  Overall
#14  Graph DBMS
Websitephoenix.apache.orgwww.faircom.com/­products/­faircom-edgegithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.tigergraph.comyanza.com
Technical documentationphoenix.apache.orgdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.tigergraph.com
DeveloperApache Software FoundationFairCom CorporationAlex KashirinYanza
Initial release20141979202020172015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019V3, October 20200.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoRestricted, free version availableOpen Source infoGPL V3commercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaANSI C, C++C++C++
Server operating systemsLinux
Unix
Windows
Android
Linux infoARM, x86
Raspbian
Windows
LinuxLinuxWindows
Data schemeyes infolate-bound, schema-on-read capabilitiesFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyesno
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.noyesnonono
Secondary indexesyesyesno
SQL infoSupport of SQLyesyes infoANSI SQL queriesSQL-like query languageSQL-like query language (GSQL)no
APIs and other access methodsJDBCADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Proprietary protocol
Thrift
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C++C++
Java
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsyes info.Net, JavaScript, C/C++noyesno
Triggersnoyesnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning infoCustomizable business rules for partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoSynchronous and asynchronous realtime replication based on transaction logsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infowhen using SQLyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyesyes
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.yesyesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Role-based access controlno

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More resources
Apache PhoenixFaircom EDGE infoformerly c-treeEDGESWC-DB infoSuper Wide Column DatabaseTigerGraphYanza
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