DBMS > Atos Standard Common Repository vs. BaseX vs. GBase vs. Google Cloud Bigtable

System Properties Comparison Atos Standard Common Repository vs. BaseX vs. GBase vs. Google Cloud Bigtable

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	BaseX  Xexclude from comparison	GBase  Xexclude from comparison	Google Cloud Bigtable  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	Light-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.	Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.	Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database model	Document store Key-value store	Native XML DBMS	Relational DBMS	Key-value store Wide column store
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 1.84 Rank #135   Overall #4   Native XML DBMS	Score 1.05 Rank #186   Overall #86   Relational DBMS	Score 3.15 Rank #95   Overall #14   Key-value stores #8   Wide column stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	basex.org	www.gbase.cn	cloud.google.com/­bigtable
Technical documentation		docs.basex.org		cloud.google.com/­bigtable/­docs
Developer	Atos Convergence Creators	BaseX GmbH	General Data Technology Co., Ltd.	Google
Initial release	2016	2007	2004	2015
Current release	1703	10.7, August 2023	GBase 8a, GBase 8s, GBase 8c
License Commercial or Open Source	commercial	Open Source BSD license	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	no	yes
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java	C, Java, Python
Server operating systems	Linux	Linux OS X Windows	Linux	hosted
Data scheme	Schema and schema-less with LDAP views	schema-free	yes	schema-free
Typing predefined data types such as float or date	optional	no XQuery supports types	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		yes	no
Secondary indexes	yes	yes	yes	no
SQL Support of SQL	no	no	Standard with numerous extensions	no
APIs and other access methods	LDAP	Java API RESTful HTTP API RESTXQ WebDAV XML:DB XQJ	ADO.NET C API JDBC ODBC	gRPC (using protocol buffers) API HappyBase (Python library) HBase compatible API (Java)
Supported programming languages	All languages with LDAP bindings	Actionscript C C# Haskell Java JavaScript Node.js Lisp Perl PHP Python Qt Rebol Ruby Scala Visual Basic	C#	C# C++ Go Java JavaScript (Node.js) Python
Server-side scripts Stored procedures	no	yes	user defined functions	no
Triggers	yes	yes via events	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	horizontal partitioning (by range, list and hash) and vertical partitioning	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	yes	Internal replication in Colossus, and regional replication between two clusters in different zones
MapReduce Offers an API for user-defined Map/Reduce methods		no		yes
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration		Immediate Consistency	Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys Referential integrity	no	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	multiple readers, single writer	ACID	Atomic single-row operations
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
User concepts Access control	LDAP bind authentication	Users with fine-grained authorization concept on 4 levels	yes	Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)
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More resources
	Atos Standard Common Repository	BaseX	GBase	Google Cloud Bigtable
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