DBMS > Atos Standard Common Repository vs. LeanXcale vs. PlanetScale vs. TimesTen

System Properties Comparison Atos Standard Common Repository vs. LeanXcale vs. PlanetScale vs. TimesTen

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	LeanXcale  Xexclude from comparison	PlanetScale  Xexclude from comparison	TimesTen  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities	Scalable, distributed, serverless MySQL database platform built on top of Vitess	In-Memory RDBMS compatible to Oracle
Primary database model	Document store Key-value store	Key-value store Relational DBMS	Relational DBMS	Relational DBMS
Secondary database models			Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.36 Rank #280   Overall #40   Key-value stores #129   Relational DBMS	Score 1.49 Rank #155   Overall #72   Relational DBMS	Score 1.36 Rank #161   Overall #75   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.leanxcale.com	planetscale.com	www.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentation			planetscale.com/­docs	docs.oracle.com/­database/­timesten-18.1
Developer	Atos Convergence Creators	LeanXcale	PlanetScale	Oracle, TimesTen Performance Software, HP originally founded in HP Labs it was acquired by Oracle in 2005
Initial release	2016	2015	2020	1998
Current release	1703			11 Release 2 (11.2.2.8.0)
License Commercial or Open Source	commercial	commercial	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java		Go
Server operating systems	Linux		Docker Linux macOS	AIX HP-UX Linux OS X Solaris SPARC/x86 Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes	yes
Typing predefined data types such as float or date	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.	yes			no
Secondary indexes	yes		yes	yes
SQL Support of SQL	no	yes through Apache Derby	yes with proprietary extensions	yes
APIs and other access methods	LDAP	JDBC Kafka Connector ODBC proprietary key/value interface Spark Connector	ADO.NET JDBC MySQL protocol ODBC	JDBC ODBC ODP.NET Oracle Call Interface (OCI)
Supported programming languages	All languages with LDAP bindings	C Java Scala	Ada C C# C++ D Delphi Eiffel Erlang Haskell Java JavaScript (Node.js) Objective-C OCaml Perl PHP Python Ruby Scheme Tcl	C C++ Java PL/SQL
Server-side scripts Stored procedures	no		yes proprietary syntax	PL/SQL
Triggers	yes		yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division		Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	yes		Multi-source replication Source-replica replication	Multi-source replication Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Eventual Consistency across shards Immediate Consistency within a shard	Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys Referential integrity	no	yes	yes not for MyISAM storage engine	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	ACID at shard level	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes table locks or row locks depending on storage engine	yes
Durability Support for making data persistent	yes	yes	yes	yes by means of logfiles and checkpoints
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes	yes	yes
User concepts Access control	LDAP bind authentication		Users with fine-grained authorization concept no user groups or roles	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	LeanXcale	PlanetScale	TimesTen
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News		PlanetScale ends free tier bid, sheds staff in profitability bid 11 March 2024, The Register PlanetScale forks MySQL to add vector support 3 October 2023, TechCrunch PlanetScale Named to Fortune 2023 Best Small Workplaces 31 August 2023, Business Wire How to Migrate to PlanetScale's Serverless Database 14 October 2021, The New Stack PlanetScale review: Horizontally scalable MySQL in the cloud 1 September 2021, InfoWorld provided by Google News

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