DBMS > Atos Standard Common Repository vs. EDB Postgres vs. gStore vs. IBM Db2 Event Store

System Properties Comparison Atos Standard Common Repository vs. EDB Postgres vs. gStore vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	EDB Postgres  Xexclude from comparison	gStore  Xexclude from comparison	IBM Db2 Event Store  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	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.	A native Graph DBMS to store and maintain very large RDF datasets.	Distributed Event Store optimized for Internet of Things use cases
Primary database model	Document store Key-value store	Relational DBMS	Graph DBMS RDF store	Event Store Time Series DBMS
Secondary database models		Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 1.91 Rank #130   Overall #60   Relational DBMS	Score 0.14 Rank #342   Overall #34   Graph DBMS #16   RDF stores	Score 0.27 Rank #309   Overall #2   Event Stores #28   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.enterprisedb.com	en.gstore.cn	www.ibm.com/­products/­db2-event-store
Technical documentation		www.enterprisedb.com/­docs	en.gstore.cn/­#/­enDocs	www.ibm.com/­docs/­en/­db2-event-store
Developer	Atos Convergence Creators	EnterpriseDB		IBM
Initial release	2016	2005	2016	2017
Current release	1703	14, December 2021	1.2, November 2023	2.0
License Commercial or Open Source	commercial	commercial BSD for PostgreSQL-components	Open Source BSD	commercial free developer edition 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	C	C++	C and C++
Server operating systems	Linux	Linux Windows	Linux	Linux Linux, macOS, Windows for the developer addition
Data scheme	Schema and schema-less with LDAP views	yes	schema-free and OWL/RDFS-schema support	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	yes specific XML-type available, but no XML query functionality.	no	no
Secondary indexes	yes	yes		no
SQL Support of SQL	no	yes standard with numerous extensions	no	yes through the embedded Spark runtime
APIs and other access methods	LDAP	ADO.NET JDBC native C library ODBC streaming API for large objects	HTTP API SPARQL 1.1	ADO.NET DB2 Connect JDBC ODBC RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	.Net C C++ Delphi Java Perl PHP Python Tcl	C++ Java JavaScript (Node.js) PHP Python	C C# C++ Cobol Delphi Fortran Go Java JavaScript (Node.js) Perl PHP Python R Ruby Scala Visual Basic
Server-side scripts Stored procedures	no	user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.	yes	yes
Triggers	yes	yes		no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	horizontal partitioning by hash, list or range		Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	Multi-source replication		Active-active shard 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
Foreign keys Referential integrity	no	yes		no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	yes	no
Concurrency Support for concurrent manipulation of data	yes	yes, multi-version concurrency control (MVCC)	yes	No - written data is immutable
Durability Support for making data persistent	yes	yes	yes	Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	no	yes
User concepts Access control	LDAP bind authentication	fine grained access rights according to SQL-standard	Users, roles and permissions, Role-Based Access Control (RBAC) supported	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	EDB Postgres	gStore	IBM Db2 Event Store
Recent citations in the news		4 highlights from EDB Postgres AI 13 June 2024, InfoWorld EDB Puts Postgres in the Middle of Analytics Workflow with New Lakehouse Stack 22 April 2024, Datanami EDB Announces EDB Postgres® AI, an Intelligent Platform for Transactional, Analytical and AI Workloads 23 May 2024, Yahoo Finance Nutanix partners with EDB to fit database service for AI – Blocks and Files 21 May 2024, Blocks and Files Enterprise DB begins rolling AI features into PostgreSQL 23 May 2024, SiliconANGLE News provided by Google News		Advancements in streaming data storage, real-time analysis and machine learning 25 July 2019, ibm.com How IBM Is Turning Db2 into an ‘AI Database’ 3 June 2019, Datanami Best cloud databases of 2022 4 October 2022, ITPro Why a robust data management strategy is essential today | IBM HDM 19 September 2019, Express Computer provided by Google News

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