DBMS > Atos Standard Common Repository vs. Kdb+ vs. Microsoft Azure Search vs. Percona Server for MongoDB

System Properties Comparison Atos Standard Common Repository vs. Kdb+ vs. Microsoft Azure Search vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Kdb+  Xexclude from comparison	Microsoft Azure Search  Xexclude from comparison	Percona Server for MongoDB  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	High performance Time Series DBMS	Search-as-a-service for web and mobile app development	A drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database model	Document store Key-value store	Time Series DBMS	Search engine	Document store
Secondary database models		Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 9.18 Rank #52   Overall #2   Time Series DBMS	Score 7.58 Rank #58   Overall #7   Search engines	Score 0.71 Rank #210   Overall #33   Document stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	kx.com	azure.microsoft.com/­en-us/­services/­search	www.percona.com/­software/­mongodb/­percona-server-for-mongodb
Technical documentation		code.kx.com	docs.microsoft.com/­en-us/­azure/­search	www.percona.com/­doc/­percona-server-for-mongodb/­LATEST/­index.html
Developer	Atos Convergence Creators	Kx Systems, a division of First Derivatives plc	Microsoft	Percona
Initial release	2016	2000 kdb was released 2000, kdb+ in 2003	2015	2015
Current release	1703	3.6, May 2018	V1	3.4.10-2.10, November 2017
License Commercial or Open Source	commercial	commercial free 32-bit version	commercial	Open Source GPL Version 2
Cloud-based only Only available as a cloud service	no	no	yes	no
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Implementation language	Java	q		C++
Server operating systems	Linux	Linux OS X Solaris Windows	hosted	Linux
Data scheme	Schema and schema-less with LDAP views	yes	yes	schema-free
Typing predefined data types such as float or date	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.	yes	yes	no	no
Secondary indexes	yes	yes table attribute 'grouped'	yes	yes
SQL Support of SQL	no	SQL-like query language (q)	no	no
APIs and other access methods	LDAP	HTTP API JDBC Jupyter Kafka ODBC WebSocket	RESTful HTTP API	proprietary protocol using JSON
Supported programming languages	All languages with LDAP bindings	C C# C++ Go J Java JavaScript Lua MatLab Perl PHP Python R Scala	.Net C#	Actionscript C C# C++ Clojure ColdFusion D Dart Delphi Erlang Go Groovy Haskell Java JavaScript Lisp Lua MatLab Perl PHP PowerShell Prolog Python R Ruby Scala Smalltalk
Server-side scripts Stored procedures	no	user defined functions	no	JavaScript
Triggers	yes	yes with views	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	horizontal partitioning	Sharding Implicit feature of the cloud service	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	Source-replica replication	yes Implicit feature of the cloud service	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods		no similar paradigm used for internal processing	no	yes
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Immediate Consistency	Eventual Consistency Immediate Consistency
Foreign keys Referential integrity	no	yes	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	no	no
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	yes	no	yes via In-Memory Engine
User concepts Access control	LDAP bind authentication	rights management via user accounts	yes using Azure authentication	Access rights for users and roles
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More resources
	Atos Standard Common Repository	Kdb+	Microsoft Azure Search	Percona Server for MongoDB
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