DBMS > Apache Phoenix vs. Atos Standard Common Repository vs. EsgynDB vs. Hawkular Metrics

System Properties Comparison Apache Phoenix vs. Atos Standard Common Repository vs. EsgynDB vs. Hawkular Metrics

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Editorial information provided by DB-Engines
Name	Apache Phoenix  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	EsgynDB  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.
Description	A scale-out RDBMS with evolutionary schema built on Apache HBase	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database model	Relational DBMS	Document store Key-value store	Relational DBMS	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 2.06 Rank #123   Overall #58   Relational DBMS		Score 0.25 Rank #312   Overall #138   Relational DBMS	Score 0.08 Rank #366   Overall #39   Time Series DBMS
Website	phoenix.apache.org	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.esgyn.cn	www.hawkular.org
Technical documentation	phoenix.apache.org			www.hawkular.org/­hawkular-metrics/­docs/­user-guide
Developer	Apache Software Foundation	Atos Convergence Creators	Esgyn	Community supported by Red Hat
Initial release	2014	2016	2015	2014
Current release	5.0-HBase2, July 2018 and 4.15-HBase1, December 2019	1703
License Commercial or Open Source	Open Source Apache Version 2.0	commercial	commercial	Open Source Apache 2.0
Cloud-based only Only available as a cloud service	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java	C++, Java	Java
Server operating systems	Linux Unix Windows	Linux	Linux	Linux OS X Windows
Data scheme	yes late-bound, schema-on-read capabilities	Schema and schema-less with LDAP views	yes	schema-free
Typing predefined data types such as float or date	yes	optional	yes	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	yes	no	no
Secondary indexes	yes	yes	yes	no
SQL Support of SQL	yes	no	yes	no
APIs and other access methods	JDBC	LDAP	ADO.NET JDBC ODBC	HTTP REST
Supported programming languages	C C# C++ Go Groovy Java PHP Python Scala	All languages with LDAP bindings	All languages supporting JDBC/ODBC/ADO.Net	Go Java Python Ruby
Server-side scripts Stored procedures	user defined functions	no	Java Stored Procedures	no
Triggers	no	yes	no	yes via Hawkular Alerting
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding cell division	Sharding	Sharding based on Cassandra
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication Source-replica replication	yes	Multi-source replication between multi datacenters	selectable replication factor based on Cassandra
MapReduce Offers an API for user-defined Map/Reduce methods	Hadoop integration		yes	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra
Foreign keys Referential integrity	no	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	Atomic execution of specific operations	ACID	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes	no	no
User concepts Access control	Access Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancy	LDAP bind authentication	fine grained access rights according to SQL-standard	no
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More resources
	Apache Phoenix	Atos Standard Common Repository	EsgynDB	Hawkular Metrics
DB-Engines blog posts	Cloudera's HBase PaaS offering now supports Complex Transactions 11 August 2021,  Krishna Maheshwari (sponsor)  show all
Recent citations in the news	Supercharge SQL on Your Data in Apache HBase with Apache Phoenix | Amazon Web Services 2 June 2016, AWS Blog Bridge the SQL-NoSQL gap with Apache Phoenix 4 February 2016, InfoWorld Apache Calcite, FreeMarker, Gora, Phoenix, and Solr updated 27 March 2017, SDTimes.com Azure HDInsight Analytics Platform Now Supports Apache Hadoop 3.0 18 April 2019, eWeek Deep dive into Azure HDInsight 4.0 25 September 2018, Microsoft provided by Google News	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News		Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS 5 June 2019, DevClass provided by Google News

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