DBMS > Atos Standard Common Repository vs. Postgres-XL vs. SAP SQL Anywhere vs. WakandaDB

System Properties Comparison Atos Standard Common Repository vs. Postgres-XL vs. SAP SQL Anywhere vs. WakandaDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Postgres-XL  Xexclude from comparison	SAP SQL Anywhere formerly called Adaptive Server Anywhere  Xexclude from comparison	WakandaDB  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	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features	RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments	WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database model	Document store Key-value store	Relational DBMS	Relational DBMS	Object oriented DBMS
Secondary database models		Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.53 Rank #254   Overall #117   Relational DBMS	Score 3.95 Rank #80   Overall #42   Relational DBMS	Score 0.10 Rank #356   Overall #16   Object oriented DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.postgres-xl.org	www.sap.com/­products/­technology-platform/­sql-anywhere.html	wakanda.github.io
Technical documentation		www.postgres-xl.org/­documentation	help.sap.com/­docs/­SAP_SQL_Anywhere	wakanda.github.io/­doc
Developer	Atos Convergence Creators		SAP formerly Sybase	Wakanda SAS
Initial release	2016	2014 since 2012, originally named StormDB	1992	2012
Current release	1703	10 R1, October 2018	17, July 2015	2.7.0 (April 29, 2019), April 2019
License Commercial or Open Source	commercial	Open Source Mozilla public license	commercial	Open Source AGPLv3, extended commercial license 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++, JavaScript
Server operating systems	Linux	Linux macOS	AIX HP-UX Linux OS X Solaris Windows	Linux OS X 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	yes XML type, but no XML query functionality	yes	no
Secondary indexes	yes	yes	yes
SQL Support of SQL	no	yes distributed, parallel query execution	yes	no
APIs and other access methods	LDAP	ADO.NET JDBC native C library ODBC streaming API for large objects	ADO.NET HTTP API JDBC ODBC	RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl	C C# C++ Delphi Java JavaScript (Node.js) Perl PHP Python Ruby	JavaScript
Server-side scripts Stored procedures	no	user defined functions	yes, in C/C++, Java, .Net or Perl	yes
Triggers	yes	yes	yes	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	horizontal partitioning	none	none
Replication methods Methods for redundantly storing data on multiple nodes	yes		Source-replica replication Database mirroring	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	Immediate Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID MVCC	ACID	ACID
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	no	yes	no
User concepts Access control	LDAP bind authentication	fine grained access rights according to SQL-standard	fine grained access rights according to SQL-standard	yes
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More resources
	Atos Standard Common Repository	Postgres-XL	SAP SQL Anywhere formerly called Adaptive Server Anywhere	WakandaDB
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