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DBMS > Apache Phoenix vs. EsgynDB vs. FeatureBase vs. RDFox

System Properties Comparison Apache Phoenix vs. EsgynDB vs. FeatureBase vs. RDFox

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonEsgynDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.High performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSRelational DBMSRelational DBMSGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score0.15
Rank#325  Overall
#144  Relational DBMS
Score0.23
Rank#296  Overall
#134  Relational DBMS
Score0.22
Rank#305  Overall
#25  Graph DBMS
#15  RDF stores
Websitephoenix.apache.orgwww.esgyn.cnwww.featurebase.comwww.oxfordsemantic.tech
Technical documentationphoenix.apache.orgdocs.featurebase.comdocs.oxfordsemantic.tech
DeveloperApache Software FoundationEsgynMolecula and Pilosa Open Source ContributorsOxford Semantic Technologies
Initial release2014201520172017
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192022, May 20226.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaGoC++
Server operating systemsLinux
Unix
Windows
LinuxLinux
macOS
Linux
macOS
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLyesyesSQL queriesno
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
gRPC
JDBC
Kafka Connector
ODBC
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC/ADO.NetJava
Python
C
Java
Server-side scripts infoStored proceduresuser defined functionsJava Stored Procedures
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersyesreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardRoles, resources, and access types

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More resources
Apache PhoenixEsgynDBFeatureBaseRDFox
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