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

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

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Bangdb  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	Converged and high performance database for device data, events, time series, document and graph	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	Document store Graph DBMS Time Series DBMS	Relational DBMS	Relational DBMS
Secondary database models		Spatial DBMS		Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.16 Rank #338   Overall #47   Document stores #32   Graph DBMS #31   Time Series DBMS	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	bangdb.com	github.com/­OpenTenBase/­OpenTenBase www.opentenbase.org	www.postgres-xl.org
Technical documentation		docs.bangdb.com	docs.opentenbase.org docs.opentenbase.org/­en	www.postgres-xl.org/­documentation
Developer	Atos Convergence Creators	Sachin Sinha, BangDB	OpenAtom Foundation, previously Tencent
Initial release	2016	2012		2014 since 2012, originally named StormDB
Current release	1703	BangDB 2.0, October 2021	2.5, January 2024	10 R1, October 2018
License Commercial or Open Source	commercial	Open Source BSD 3	Open Source BSD-3	Open Source Mozilla public license
Cloud-based only Only available as a cloud service	no	no	no	no
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Implementation language	Java	C, C++		C
Server operating systems	Linux	Linux	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: string, long, double, int, geospatial, stream, events	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		yes XML type, but no XML query functionality
Secondary indexes	yes	yes secondary, composite, nested, reverse, geospatial	yes	yes
SQL Support of SQL	no	SQL like support with command line tool	yes	yes distributed, parallel query execution
APIs and other access methods	LDAP	Proprietary protocol RESTful HTTP API		ADO.NET JDBC native C library ODBC streaming API for large objects
Supported programming languages	All languages with LDAP bindings	C C# C++ Java Python	C Go Java PHP Python	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl
Server-side scripts Stored procedures	no	no		user defined functions
Triggers	yes	yes, Notifications (with Streaming only)	yes	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm	Sharding	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor, Knob for CAP (enterprise version only)	yes
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	Tunable consistency, set CAP knob accordingly	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	ACID	ACID	ACID MVCC
Concurrency Support for concurrent manipulation of data	yes	yes, optimistic concurrency control	yes	yes
Durability Support for making data persistent	yes	yes, implements WAL (Write ahead log) as well	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes, run db with in-memory only mode		no
User concepts Access control	LDAP bind authentication	yes (enterprise version only)	Access rights for users, groups and roles according to SQL-standard	fine grained access rights according to SQL-standard
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