DBMS > Atos Standard Common Repository vs. Blueflood vs. Google Cloud Bigtable vs. Transwarp ArgoDB vs. Yaacomo

System Properties Comparison Atos Standard Common Repository vs. Blueflood vs. Google Cloud Bigtable vs. Transwarp ArgoDB vs. Yaacomo

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Blueflood  Xexclude from comparison	Google Cloud Bigtable  Xexclude from comparison	Transwarp ArgoDB  Xexclude from comparison	Yaacomo  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.				Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Scalable TimeSeries DBMS based on Cassandra	Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.	Distributed Analytical Database to replace Hadoop+MPP hybrid architecture	OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database model	Document store Key-value store	Time Series DBMS	Key-value store Wide column store	Relational DBMS	Relational DBMS
Secondary database models				Search engine
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.13 Rank #346   Overall #33   Time Series DBMS	Score 3.15 Rank #95   Overall #14   Key-value stores #8   Wide column stores	Score 0.12 Rank #348   Overall #151   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	blueflood.io	cloud.google.com/­bigtable	www.transwarp.cn/­en/­product/­argodb	yaacomo.com
Technical documentation		github.com/­rax-maas/­blueflood/­wiki	cloud.google.com/­bigtable/­docs	docs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
Developer	Atos Convergence Creators	Rackspace	Google	Transwarp	Q2WEB GmbH
Initial release	2016	2013	2015		2009
Current release	1703
License Commercial or Open Source	commercial	Open Source Apache 2.0	commercial	commercial	commercial
Cloud-based only Only available as a cloud service	no	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	Java
Server operating systems	Linux	Linux OS X	hosted		Android Linux Windows
Data scheme	Schema and schema-less with LDAP views	predefined scheme	schema-free	yes	yes
Typing predefined data types such as float or date	optional	yes	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	yes	yes
SQL Support of SQL	no	no	no	yes	yes
APIs and other access methods	LDAP	HTTP REST	gRPC (using protocol buffers) API HappyBase (Python library) HBase compatible API (Java)		JDBC ODBC
Supported programming languages	All languages with LDAP bindings		C# C++ Go Java JavaScript (Node.js) Python
Server-side scripts Stored procedures	no	no	no
Triggers	yes	no	no		yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding based on Cassandra	Sharding		horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor based on Cassandra	Internal replication in Colossus, and regional replication between two clusters in different zones		Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods		no	yes		no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)		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	no	Atomic single-row operations		ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes	yes
Durability Support for making data persistent	yes	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		yes
User concepts Access control	LDAP bind authentication	no	Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)		fine grained access rights according to SQL-standard
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Atos Standard Common Repository	Blueflood	Google Cloud Bigtable	Transwarp ArgoDB	Yaacomo
Recent citations in the news		Real-Time Performance and Health Monitoring Using Netdata 2 September 2019, CNX Software provided by Google News	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 Google introduces Cloud Bigtable managed NoSQL database to process data at scale 6 May 2015, VentureBeat provided by Google News

Share this page