DBMS > Atos Standard Common Repository vs. Hazelcast vs. searchxml vs. Transwarp KunDB

System Properties Comparison Atos Standard Common Repository vs. Hazelcast vs. searchxml vs. Transwarp KunDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Hazelcast  Xexclude from comparison	searchxml  Xexclude from comparison	Transwarp KunDB  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	A widely adopted in-memory data grid	DBMS for structured and unstructured content wrapped with an application server	OLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database model	Document store Key-value store	Key-value store	Native XML DBMS Search engine	Relational DBMS
Secondary database models		Document store JSON support with IMDG 3.12
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 5.46 Rank #61   Overall #7   Key-value stores	Score 0.03 Rank #390   Overall #7   Native XML DBMS #24   Search engines	Score 0.14 Rank #341   Overall #149   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	hazelcast.com	www.searchxml.net/­category/­products	www.transwarp.cn/­en/­product/­kundb
Technical documentation		hazelcast.org/­imdg/­docs	www.searchxml.net/­support/­handouts
Developer	Atos Convergence Creators	Hazelcast	informationpartners gmbh	Transwarp
Initial release	2016	2008	2015
Current release	1703	5.3.6, November 2023	1.0
License Commercial or Open Source	commercial	Open Source Apache Version 2; commercial licenses available	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java	C++
Server operating systems	Linux	All OS with a Java VM	Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	schema-free	yes
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 the object must implement a serialization strategy	yes
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	SQL-like query language	no	yes
APIs and other access methods	LDAP	JCache JPA Memcached protocol RESTful HTTP API	RESTful HTTP API WebDAV XQuery XSLT
Supported programming languages	All languages with LDAP bindings	.Net C# C++ Clojure Go Java JavaScript (Node.js) Python Scala	C++ most other programming languages supported via APIs
Server-side scripts Stored procedures	no	yes Event Listeners, Executor Services	yes on the application server	yes
Triggers	yes	yes Events	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	none	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes Replicated Map	yes sychronisation to multiple collections
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 or Eventual Consistency selectable by user Raft Consensus Algorithm	Immediate Consistency	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	one or two-phase-commit; repeatable reads; read commited	multiple readers, single writer	ACID
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
User concepts Access control	LDAP bind authentication	Role-based access control	Domain, group and role-based access control at the document level and for application services	yes
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	Hazelcast	searchxml	Transwarp KunDB
Recent citations in the news		Hazelcast Weaves Wider Logic Threads Through The Data Fabric 7 March 2024, Forbes Hazelcast 5.4 real time data processing platform boosts AI and consistency 17 April 2024, VentureBeat Hazelcast appoints Anthony Griffin as Chief Architect - 11 June 2024, Enterprise Times Hazelcast Showcases Real-Time Data Platform at 2024 Gartner Summit 15 May 2024, Datanami Real-Time Data Platform Hazelcast Introduces New Chief Technology Officer Adrian Soars 7 November 2023, Finovate provided by Google News

Share this page