DBMS > Alibaba Cloud Table Store vs. Atos Standard Common Repository vs. KairosDB vs. Machbase Neo vs. Yaacomo

System Properties Comparison Alibaba Cloud Table Store vs. Atos Standard Common Repository vs. KairosDB vs. Machbase Neo vs. Yaacomo

Editorial information provided by DB-Engines
Name	Alibaba Cloud Table Store  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	KairosDB  Xexclude from comparison	Machbase Neo Former name was Infiniflux  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	A fully managed Wide Column Store for large quantities of semi-structured data with real-time access	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Distributed Time Series DBMS based on Cassandra or H2	TimeSeries DBMS for AIoT and BigData	OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database model	Wide column store	Document store Key-value store	Time Series DBMS	Time Series DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.31 Rank #297   Overall #11   Wide column stores		Score 0.67 Rank #233   Overall #20   Time Series DBMS	Score 0.17 Rank #337   Overall #30   Time Series DBMS
Website	www.alibabacloud.com/­product/­table-store	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­kairosdb/­kairosdb	machbase.com	yaacomo.com
Technical documentation	www.alibabacloud.com/­help/­en/­tablestore		kairosdb.github.io	machbase.com/­dbms
Developer	Alibaba	Atos Convergence Creators		Machbase	Q2WEB GmbH
Initial release	2016	2016	2013	2013	2009
Current release		1703	1.2.2, November 2018	V8.0, August 2023
License Commercial or Open Source	commercial	commercial	Open Source Apache 2.0	commercial free test version available	commercial
Cloud-based only Only available as a cloud service	yes	no	no	no	no
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Implementation language		Java	Java	C
Server operating systems	hosted	Linux	Linux OS X Windows	Linux macOS Windows	Android Linux Windows
Data scheme	schema-free	Schema and schema-less with LDAP views	schema-free	yes	yes
Typing predefined data types such as float or date	yes	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.	no	yes	no	no	no
Secondary indexes	no	yes	no	yes	yes
SQL Support of SQL	no	no	no	SQL-like query language	yes
APIs and other access methods	HTTP API	LDAP	Graphite protocol HTTP REST Telnet API	gRPC HTTP REST JDBC MQTT (Message Queue Telemetry Transport) ODBC	JDBC ODBC
Supported programming languages	Java Python	All languages with LDAP bindings	Java JavaScript Node.js PHP Python	C C# C++ Go Java JavaScript PHP via ODBC Python R via ODBC Scala
Server-side scripts Stored procedures	no	no	no	no
Triggers	no	yes	no	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	Sharding cell division	Sharding based on Cassandra	Sharding	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes Implicit feature of the cloud service	yes	selectable replication factor based on Cassandra	selectable replication factor	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no		no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra		Immediate Consistency
Foreign keys Referential integrity	no	no	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic single-row operations	Atomic execution of specific operations	no	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	no	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes	no	yes volatile and lookup table	yes
User concepts Access control	Access rights based on subaccounts and tokens	LDAP bind authentication	simple password-based access control	simple password-based access control	fine grained access rights according to SQL-standard
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More resources
	Alibaba Cloud Table Store	Atos Standard Common Repository	KairosDB	Machbase Neo Former name was Infiniflux	Yaacomo
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