DBMS > Atos Standard Common Repository vs. BigObject vs. Spark SQL vs. TimesTen

System Properties Comparison Atos Standard Common Repository vs. BigObject vs. Spark SQL vs. TimesTen

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	BigObject  Xexclude from comparison	Spark SQL  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	Analytic DBMS for real-time computations and queries	Spark SQL is a component on top of 'Spark Core' for structured data processing	In-Memory RDBMS compatible to Oracle
Primary database model	Document store Key-value store	Relational DBMS a hierachical model (tree) can be imposed	Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.19 Rank #329   Overall #146   Relational DBMS	Score 18.04 Rank #33   Overall #20   Relational DBMS	Score 1.36 Rank #161   Overall #75   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	bigobject.io	spark.apache.org/­sql	www.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentation		docs.bigobject.io	spark.apache.org/­docs/­latest/­sql-programming-guide.html	docs.oracle.com/­database/­timesten-18.1
Developer	Atos Convergence Creators	BigObject, Inc.	Apache Software Foundation	Oracle, TimesTen Performance Software, HP originally founded in HP Labs it was acquired by Oracle in 2005
Initial release	2016	2015	2014	1998
Current release	1703		3.5.0 ( 2.13), September 2023	11 Release 2 (11.2.2.8.0)
License Commercial or Open Source	commercial	commercial free community edition available	Open Source Apache 2.0	commercial
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		Scala
Server operating systems	Linux	Linux distributed as a docker-image OS X distributed as a docker-image (boot2docker) Windows distributed as a docker-image (boot2docker)	Linux OS X Windows	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	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	no	no
Secondary indexes	yes	yes	no	yes
SQL Support of SQL	no	SQL-like DML and DDL statements	SQL-like DML and DDL statements	yes
APIs and other access methods	LDAP	fluentd ODBC RESTful HTTP API	JDBC ODBC	JDBC ODBC ODP.NET Oracle Call Interface (OCI)
Supported programming languages	All languages with LDAP bindings		Java Python R Scala	C C++ Java PL/SQL
Server-side scripts Stored procedures	no	Lua	no	PL/SQL
Triggers	yes	no	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	yes, utilizing Spark Core	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	none	Multi-source replication Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods		no		no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	none		Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys Referential integrity	no	yes automatically between fact table and dimension tables	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes Read/write lock on objects (tables, trees)	yes	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	no	yes
User concepts Access control	LDAP bind authentication	no	no	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	BigObject	Spark SQL	TimesTen
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