DBMS > Atos Standard Common Repository vs. Google Cloud Bigtable vs. Infobright vs. SAP Advantage Database Server

System Properties Comparison Atos Standard Common Repository vs. Google Cloud Bigtable vs. Infobright vs. SAP Advantage Database Server

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Google Cloud Bigtable  Xexclude from comparison	Infobright  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.			SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.	High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend	Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database model	Document store Key-value store	Key-value store Wide column store	Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 3.15 Rank #95   Overall #14   Key-value stores #8   Wide column stores	Score 1.02 Rank #192   Overall #90   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	cloud.google.com/­bigtable	ignitetech.com/­softwarelibrary/­infobrightdb	www.sap.com/products/advantage-database-server.html
Technical documentation		cloud.google.com/­bigtable/­docs
Developer	Atos Convergence Creators	Google	Ignite Technologies Inc.; formerly InfoBright Inc.	Sybase, SAP
Initial release	2016	2015	2005	1993
Current release	1703
License Commercial or Open Source	commercial	commercial	commercial The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016	commercial
Cloud-based only Only available as a cloud service	no	yes	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java		C
Server operating systems	Linux	hosted	Linux Windows	Linux Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	yes	yes
Typing predefined data types such as float or date	optional	no	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	no	no
Secondary indexes	yes	no	no Knowledge Grid Technology used instead	yes
SQL Support of SQL	no	no	yes	yes
APIs and other access methods	LDAP	gRPC (using protocol buffers) API HappyBase (Python library) HBase compatible API (Java)	ADO.NET JDBC ODBC	.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages	All languages with LDAP bindings	C# C++ Go Java JavaScript (Node.js) Python	.Net C C# C++ D Eiffel Erlang Haskell Java Objective-C OCaml Perl PHP Python Ruby Scheme Tcl	Delphi Perl PHP
Server-side scripts Stored procedures	no	no	no	yes
Triggers	yes	no	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	none	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	Internal replication in Colossus, and regional replication between two clusters in different zones	Source-replica replication	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods		yes	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	Atomic single-row operations	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 caching of (temporary) tables can be configured
User concepts Access control	LDAP bind authentication	Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)	fine grained access rights according to SQL-standard exploiting MySQL or PostgreSQL frontend capabilities	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	Google Cloud Bigtable	Infobright	SAP Advantage Database Server former name: Sybase ADS
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News	Google's AI-First Strategy Brings Vector Support To Cloud Databases 1 March 2024, Forbes Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs 31 January 2022, InfoQ.com Google scales up Cloud Bigtable NoSQL database 27 January 2022, TechTarget Review: Google Bigtable scales with ease 7 September 2016, InfoWorld Google Cloud makes it cheaper to run smaller workloads on Bigtable 7 April 2020, TechCrunch provided by Google News		SAP Announces Q3 2023 Results: Asia Pacific and Japan View 19 October 2023, SAP News provided by Google News

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