DBMS > Atos Standard Common Repository vs. Hazelcast vs. OpenTenBase vs. Postgres-XL

System Properties Comparison Atos Standard Common Repository vs. Hazelcast vs. OpenTenBase vs. Postgres-XL

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Hazelcast  Xexclude from comparison	OpenTenBase  Xexclude from comparison	Postgres-XL  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 widely adopted in-memory data grid	An enterprise-level distributed HTAP open source database based on PostgreSQL	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database model	Document store Key-value store	Key-value store	Relational DBMS	Relational DBMS
Secondary database models		Document store JSON support with IMDG 3.12		Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 5.46 Rank #61   Overall #7   Key-value stores	Score 0.08 Rank #370   Overall #156   Relational DBMS	Score 0.53 Rank #254   Overall #117   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	hazelcast.com	github.com/­OpenTenBase/­OpenTenBase www.opentenbase.org	www.postgres-xl.org
Technical documentation		hazelcast.org/­imdg/­docs	docs.opentenbase.org docs.opentenbase.org/­en	www.postgres-xl.org/­documentation
Developer	Atos Convergence Creators	Hazelcast	OpenAtom Foundation, previously Tencent
Initial release	2016	2008		2014 since 2012, originally named StormDB
Current release	1703	5.3.6, November 2023	2.5, January 2024	10 R1, October 2018
License Commercial or Open Source	commercial	Open Source Apache Version 2; commercial licenses available	Open Source BSD-3	Open Source Mozilla public license
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		C
Server operating systems	Linux	All OS with a Java VM	Linux	Linux macOS
Data scheme	Schema and schema-less with LDAP views	schema-free	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	yes the object must implement a serialization strategy		yes XML type, but no XML query functionality
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	SQL-like query language	yes	yes distributed, parallel query execution
APIs and other access methods	LDAP	JCache JPA Memcached protocol 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++ Clojure Go Java JavaScript (Node.js) Python Scala	C Go Java PHP Python	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl
Server-side scripts Stored procedures	no	yes Event Listeners, Executor Services		user defined functions
Triggers	yes	yes Events	yes	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	Sharding	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes Replicated Map	yes
MapReduce Offers an API for user-defined Map/Reduce methods		yes		no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency or Eventual Consistency selectable by user Raft Consensus Algorithm	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	one or two-phase-commit; repeatable reads; read commited	ACID	ACID MVCC
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
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	Role-based access control	Access rights for users, groups and roles according to SQL-standard	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	Hazelcast	OpenTenBase	Postgres-XL
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