DBMS > Apache Phoenix vs. Atos Standard Common Repository vs. Lovefield vs. TerarkDB

System Properties Comparison Apache Phoenix vs. Atos Standard Common Repository vs. Lovefield vs. TerarkDB

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Editorial information provided by DB-Engines
Name	Apache Phoenix  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	Lovefield  Xexclude from comparison	TerarkDB  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	Embeddable relational database for web apps written in pure JavaScript	A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database model	Relational DBMS	Document store Key-value store	Relational DBMS	Key-value store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 2.06 Rank #123   Overall #58   Relational DBMS		Score 0.33 Rank #286   Overall #131   Relational DBMS	Score 0.08 Rank #367   Overall #56   Key-value stores
Website	phoenix.apache.org	atos.net/en/convergence-creators/portfolio/standard-common-repository	google.github.io/­lovefield	github.com/­bytedance/­terarkdb
Technical documentation	phoenix.apache.org		github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md	bytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
Developer	Apache Software Foundation	Atos Convergence Creators	Google	ByteDance, originally Terark
Initial release	2014	2016	2014	2016
Current release	5.0-HBase2, July 2018 and 4.15-HBase1, December 2019	1703	2.1.12, February 2017
License Commercial or Open Source	Open Source Apache Version 2.0	commercial	Open Source Apache 2.0	commercial restricted open source version available
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	JavaScript	C++
Server operating systems	Linux Unix Windows	Linux	server-less, requires a JavaScript environment (browser, Node.js) tested with Chrome, Firefox, IE, Safari
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	no
SQL Support of SQL	yes	no	SQL-like query language via JavaScript builder pattern	no
APIs and other access methods	JDBC	LDAP		C++ API Java API
Supported programming languages	C C# C++ Go Groovy Java PHP Python Scala	All languages with LDAP bindings	JavaScript	C++ Java
Server-side scripts Stored procedures	user defined functions	no	no	no
Triggers	no	yes	Using read-only observers	no
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding cell division	none	none
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication Source-replica replication	yes	none	none
MapReduce Offers an API for user-defined Map/Reduce methods	Hadoop integration		no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency	Immediate Consistency or Eventual Consistency depending on configuration
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, by using IndexedDB or the cloud service Firebase Realtime Database	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes	yes using MemoryDB	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	no	no
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More resources
	Apache Phoenix	Atos Standard Common Repository	Lovefield	TerarkDB
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 Azure #HDInsight Apache Phoenix now supports Zeppelin 16 August 2018, Microsoft 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 provided by Google News			A Chinese company is making the cloud 200x faster · TechNode 3 July 2017, TechNode provided by Google News

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