DBMS > Atos Standard Common Repository vs. Hazelcast vs. InfinityDB vs. WakandaDB

System Properties Comparison Atos Standard Common Repository vs. Hazelcast vs. InfinityDB vs. WakandaDB

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	InfinityDB  Xexclude from comparison	WakandaDB  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	A Java embedded Key-Value Store which extends the Java Map interface	WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database model	Document store Key-value store	Key-value store	Key-value store	Object oriented 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 0.08 Rank #365   Overall #55   Key-value stores	Score 0.10 Rank #356   Overall #16   Object oriented DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	hazelcast.com	boilerbay.com	wakanda.github.io
Technical documentation		hazelcast.org/­imdg/­docs	boilerbay.com/­infinitydb/­manual	wakanda.github.io/­doc
Developer	Atos Convergence Creators	Hazelcast	Boiler Bay Inc.	Wakanda SAS
Initial release	2016	2008	2002	2012
Current release	1703	5.3.6, November 2023	4.0	2.7.0 (April 29, 2019), April 2019
License Commercial or Open Source	commercial	Open Source Apache Version 2; commercial licenses available	commercial	Open Source AGPLv3, extended commercial license available
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	Java	C++, JavaScript
Server operating systems	Linux	All OS with a Java VM	All OS with a Java VM	Linux OS X Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade	yes
Typing predefined data types such as float or date	optional	yes	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays	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	no	no
Secondary indexes	yes	yes	no manual creation possible, using inversions based on multi-value capability
SQL Support of SQL	no	SQL-like query language	no	no
APIs and other access methods	LDAP	JCache JPA Memcached protocol RESTful HTTP API	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)	RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	.Net C# C++ Clojure Go Java JavaScript (Node.js) Python Scala	Java	JavaScript
Server-side scripts Stored procedures	no	yes Event Listeners, Executor Services	no	yes
Triggers	yes	yes Events	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	none	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes Replicated Map	none	none
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 READ-COMMITTED or SERIALIZED	Immediate Consistency
Foreign keys Referential integrity	no	no	no manual creation possible, using inversions based on multi-value capability
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	ACID Optimistic locking for transactions; no isolation for bulk loads	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	no
User concepts Access control	LDAP bind authentication	Role-based access control	no	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	InfinityDB	WakandaDB
Recent citations in the news		Hazelcast Weaves Wider Logic Threads Through The Data Fabric 7 March 2024, Forbes Hazelcast appoints Anthony Griffin as Chief Architect - 11 June 2024, Enterprise Times Hazelcast 5.4 real time data processing platform boosts AI and consistency 17 April 2024, VentureBeat Hazelcast Achieves Record Year with Leading Brands Choosing Its Platform for Application Modernization, AI Initiatives 22 February 2024, Datanami Hazelcast Versus Redis: A Practical Comparison 4 January 2024, Database Trends and Applications provided by Google News

Share this page