DBMS > Atos Standard Common Repository vs. Google Cloud Bigtable vs. JaguarDB vs. Sequoiadb

System Properties Comparison Atos Standard Common Repository vs. Google Cloud Bigtable vs. JaguarDB vs. Sequoiadb

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Google Cloud Bigtable  Xexclude from comparison	JaguarDB  Xexclude from comparison	Sequoiadb  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	Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.	Performant, highly scalable DBMS for AI and IoT applications	NewSQL database with distributed OLTP and SQL
Primary database model	Document store Key-value store	Key-value store Wide column store	Key-value store Vector DBMS	Document store 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 0.06 Rank #381   Overall #59   Key-value stores #13   Vector DBMS	Score 0.50 Rank #258   Overall #41   Document stores #120   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	cloud.google.com/­bigtable	www.jaguardb.com	www.sequoiadb.com
Technical documentation		cloud.google.com/­bigtable/­docs	www.jaguardb.com/­support.html	www.sequoiadb.com/­en/­index.php?m=Files&a=index
Developer	Atos Convergence Creators	Google	DataJaguar, Inc.	Sequoiadb Ltd.
Initial release	2016	2015	2015	2013
Current release	1703		3.3 July 2023
License Commercial or Open Source	commercial	commercial	Open Source GPL V3.0	Open Source Server: AGPL; Client: Apache V2
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++ the server part. Clients available in other languages	C++
Server operating systems	Linux	hosted	Linux	Linux
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	yes	yes oid, date, timestamp, binary, regex
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	yes	yes
SQL Support of SQL	no	no	A subset of ANSI SQL is implemented but no views, foreign keys, triggers	SQL-like query language
APIs and other access methods	LDAP	gRPC (using protocol buffers) API HappyBase (Python library) HBase compatible API (Java)	JDBC ODBC	proprietary protocol using JSON
Supported programming languages	All languages with LDAP bindings	C# C++ Go Java JavaScript (Node.js) Python	C C++ Go Java JavaScript (Node.js) PHP Python Ruby Scala	.Net C++ Java PHP Python
Server-side scripts Stored procedures	no	no	no	JavaScript
Triggers	yes	no	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	Sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	Internal replication in Colossus, and regional replication between two clusters in different zones	Multi-source replication	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)	Eventual Consistency	Eventual Consistency
Foreign keys Referential integrity	no	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	Atomic single-row operations	no	Document is locked during a transaction
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	no	no
User concepts Access control	LDAP bind authentication	Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)	rights management via user accounts	simple password-based access control
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More resources
	Atos Standard Common Repository	Google Cloud Bigtable	JaguarDB	Sequoiadb
Recent citations in the 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 Review: Google Bigtable scales with ease 7 September 2016, InfoWorld Google introduces Cloud Bigtable managed NoSQL database to process data at scale 6 May 2015, VentureBeat Google Launches Cloud Bigtable, A Highly Scalable And Performant NoSQL Database 6 May 2015, TechCrunch provided by Google News

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