DBMS > Atos Standard Common Repository vs. BigObject vs. EDB Postgres vs. JSqlDb

System Properties Comparison Atos Standard Common Repository vs. BigObject vs. EDB Postgres vs. JSqlDb

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	BigObject  Xexclude from comparison	EDB Postgres  Xexclude from comparison	JSqlDb  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.			JSqlDB seems to be discontinued. Therefore it is excluded 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	The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.	JavaScript Query Language Database, stores JavaScript objects and primitives
Primary database model	Document store Key-value store	Relational DBMS a hierachical model (tree) can be imposed	Relational DBMS	Document store Object oriented DBMS
Secondary database models			Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.19 Rank #329   Overall #146   Relational DBMS	Score 1.91 Rank #130   Overall #60   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	bigobject.io	www.enterprisedb.com	jsqldb.org (offline)
Technical documentation		docs.bigobject.io	www.enterprisedb.com/­docs
Developer	Atos Convergence Creators	BigObject, Inc.	EnterpriseDB	Konrad von Backstrom
Initial release	2016	2015	2005	2018
Current release	1703		14, December 2021	0.8, December 2018
License Commercial or Open Source	commercial	commercial free community edition available	commercial BSD for PostgreSQL-components	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		C
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 Windows	Linux macOS Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes	schema-free
Typing predefined data types such as float or date	optional	yes	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.	yes	no	yes specific XML-type available, but no XML query functionality.	no
Secondary indexes	yes	yes	yes	no
SQL Support of SQL	no	SQL-like DML and DDL statements	yes standard with numerous extensions	no
APIs and other access methods	LDAP	fluentd ODBC RESTful HTTP API	ADO.NET JDBC native C library ODBC streaming API for large objects
Supported programming languages	All languages with LDAP bindings		.Net C C++ Delphi Java Perl PHP Python Tcl	JavaScript
Server-side scripts Stored procedures	no	Lua	user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.	functions in JavaScript
Triggers	yes	no	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	horizontal partitioning by hash, list or range	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	Multi-source replication	none
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	none	Immediate Consistency
Foreign keys Referential integrity	no	yes automatically between fact table and dimension tables	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes Read/write lock on objects (tables, trees)	yes, multi-version concurrency control (MVCC)
Durability Support for making data persistent	yes	yes	yes	yes using RocksDB
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes	no
User concepts Access control	LDAP bind authentication	no	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	BigObject	EDB Postgres	JSqlDb
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