DBMS > Alibaba Cloud Table Store vs. Atos Standard Common Repository vs. KeyDB vs. OpenQM

System Properties Comparison Alibaba Cloud Table Store vs. Atos Standard Common Repository vs. KeyDB vs. OpenQM

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Name	Alibaba Cloud Table Store  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	KeyDB  Xexclude from comparison	OpenQM also called QM  Xexclude from comparison
		This system has been discontinued and will be 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	An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocols	QpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database model	Wide column store	Document store Key-value store	Key-value store	Multivalue DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.31 Rank #297   Overall #11   Wide column stores		Score 0.70 Rank #229   Overall #32   Key-value stores	Score 0.34 Rank #284   Overall #10   Multivalue DBMS
Website	www.alibabacloud.com/­product/­table-store	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­Snapchat/­KeyDB keydb.dev	www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentation	www.alibabacloud.com/­help/­en/­tablestore		docs.keydb.dev
Developer	Alibaba	Atos Convergence Creators	EQ Alpha Technology Ltd.	Rocket Software, originally Martin Phillips
Initial release	2016	2016	2019	1993
Current release		1703		3.4-12
License Commercial or Open Source	commercial	commercial	Open Source BSD-3	Open Source GPLv2, extended commercial license available
Cloud-based only Only available as a cloud service	yes	no	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	hosted	Linux	Linux	AIX FreeBSD Linux macOS Raspberry Pi Solaris Windows
Data scheme	schema-free	Schema and schema-less with LDAP views	schema-free	yes with some exceptions
Typing predefined data types such as float or date	yes	optional	partial Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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	yes
Secondary indexes	no	yes	yes by using the Redis Search module	yes
SQL Support of SQL	no	no	no	no
APIs and other access methods	HTTP API	LDAP	Proprietary protocol RESP - REdis Serialization Protoco
Supported programming languages	Java Python	All languages with LDAP bindings	C C# C++ Clojure Crystal D Dart Elixir Erlang Fancy Go Haskell Haxe Java JavaScript (Node.js) Lisp Lua MatLab Objective-C OCaml Pascal Perl PHP Prolog Pure Data Python R Rebol Ruby Rust Scala Scheme Smalltalk Swift Tcl Visual Basic	.Net Basic C Java Objective C PHP Python
Server-side scripts Stored procedures	no	no	Lua	yes
Triggers	no	yes	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	Sharding cell division	Sharding	yes
Replication methods Methods for redundantly storing data on multiple nodes	yes Implicit feature of the cloud service	yes	Multi-source replication Source-replica replication	yes
MapReduce Offers an API for user-defined Map/Reduce methods	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 Strong eventual consistency with CRDTs	Immediate Consistency
Foreign keys Referential integrity	no	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic single-row operations	Atomic execution of specific operations	Optimistic locking, atomic execution of commands blocks and scripts	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes Configurable mechanisms for persistency via snapshots and/or operations logs	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes	yes
User concepts Access control	Access rights based on subaccounts and tokens	LDAP bind authentication	simple password-based access control and ACL	Access rights can be defined down to the item level
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More resources
	Alibaba Cloud Table Store	Atos Standard Common Repository	KeyDB	OpenQM also called QM
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