DBMS > Apache Phoenix vs. Atos Standard Common Repository vs. H2GIS vs. Riak TS

System Properties Comparison Apache Phoenix vs. Atos Standard Common Repository vs. H2GIS vs. Riak TS

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Editorial information provided by DB-Engines
Name	Apache Phoenix  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	H2GIS  Xexclude from comparison	Riak TS  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	Spatial extension of H2	Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database model	Relational DBMS	Document store Key-value store	Spatial DBMS	Time Series DBMS
Secondary database models			Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 2.06 Rank #123   Overall #58   Relational DBMS		Score 0.08 Rank #368   Overall #7   Spatial DBMS	Score 0.28 Rank #307   Overall #27   Time Series DBMS
Website	phoenix.apache.org	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.h2gis.org
Technical documentation	phoenix.apache.org		www.h2gis.org/­docs/­home	www.tiot.jp/­riak-docs/­riak/­ts/­latest
Developer	Apache Software Foundation	Atos Convergence Creators	CNRS	Open Source, formerly Basho Technologies
Initial release	2014	2016	2013	2015
Current release	5.0-HBase2, July 2018 and 4.15-HBase1, December 2019	1703		3.0.0, September 2022
License Commercial or Open Source	Open Source Apache Version 2.0	commercial	Open Source LGPL 3.0	Open Source
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	Java	Erlang
Server operating systems	Linux Unix Windows	Linux		Linux OS X
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	no
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	restricted
SQL Support of SQL	yes	no	yes	yes, limited
APIs and other access methods	JDBC	LDAP		HTTP API Native Erlang Interface
Supported programming languages	C C# C++ Go Groovy Java PHP Python Scala	All languages with LDAP bindings	Java	C unofficial client library C# C++ unofficial client library Clojure unofficial client library Dart unofficial client library Erlang Go unofficial client library Groovy unofficial client library Haskell unofficial client library Java JavaScript unofficial client library Lisp unofficial client library Perl unofficial client library PHP Python Ruby Scala unofficial client library Smalltalk unofficial client library
Server-side scripts Stored procedures	user defined functions	no	yes based on H2	Erlang
Triggers	no	yes	yes	yes pre-commit hooks and post-commit hooks
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding cell division	none	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication Source-replica replication	yes	yes based on H2	selectable replication factor
MapReduce Offers an API for user-defined Map/Reduce methods	Hadoop integration		no	yes
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
Foreign keys Referential integrity	no	no	yes	no links between datasets can be stored
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, multi-version concurrency control (MVCC)	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	yes
User concepts Access control	Access Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancy	LDAP bind authentication	yes based on H2	no
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More resources
	Apache Phoenix	Atos Standard Common Repository	H2GIS	Riak TS
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, azure.microsoft.com provided by Google News			New Basho Data Platform Provides Operational Simplicity for Enterprise Big Data Applications 7 June 2015, insideBIGDATA provided by Google News

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