DBMS > Atos Standard Common Repository vs. EJDB vs. H2 vs. Microsoft Azure Table Storage

System Properties Comparison Atos Standard Common Repository vs. EJDB vs. H2 vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	EJDB  Xexclude from comparison	H2  Xexclude from comparison	Microsoft Azure Table Storage  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	Embeddable document-store database library with JSON representation of queries (in MongoDB style)	Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.	A Wide Column Store for rapid development using massive semi-structured datasets
Primary database model	Document store Key-value store	Document store	Relational DBMS	Wide column store
Secondary database models			Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.31 Rank #296   Overall #44   Document stores	Score 8.33 Rank #46   Overall #30   Relational DBMS	Score 4.04 Rank #77   Overall #6   Wide column stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­Softmotions/­ejdb	www.h2database.com	azure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentation		github.com/­Softmotions/­ejdb/­blob/­master/­README.md	www.h2database.com/­html/­main.html
Developer	Atos Convergence Creators	Softmotions	Thomas Mueller	Microsoft
Initial release	2016	2012	2005	2012
Current release	1703		2.2.220, July 2023
License Commercial or Open Source	commercial	Open Source GPLv2	Open Source dual-licence (Mozilla public license, Eclipse public license)	commercial
Cloud-based only Only available as a cloud service	no	no	no	yes
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	C	Java
Server operating systems	Linux	server-less	All OS with a Java VM	hosted
Data scheme	Schema and schema-less with LDAP views	schema-free	yes	schema-free
Typing predefined data types such as float or date	optional	yes string, integer, double, bool, date, object_id	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		no	no
Secondary indexes	yes	no	yes	no
SQL Support of SQL	no	no	yes	no
APIs and other access methods	LDAP	in-process shared library	JDBC ODBC	RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	Actionscript C C# C++ Go Java JavaScript (Node.js) Lua Objective-C Pike Python Ruby	Java	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby
Server-side scripts Stored procedures	no	no	Java Stored Procedures and User-Defined Functions	no
Triggers	yes	no	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	none	Sharding Implicit feature of the cloud service
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	With clustering: 2 database servers on different computers operate on identical copies of a database	yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
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 or Eventual Consistency depending on configuration		Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no typically not needed, however similar functionality with collection joins possible	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID	optimistic locking
Concurrency Support for concurrent manipulation of data	yes	yes Read/Write Locking	yes, multi-version concurrency control (MVCC)	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	no	fine grained access rights according to SQL-standard	Access rights based on private key authentication or shared access signatures
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More resources
	Atos Standard Common Repository	EJDB	H2	Microsoft Azure Table Storage
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News			Working with Azure to Use and Manage Data Lakes 7 March 2024, Simplilearn How to use Azure Table storage in .Net 14 January 2019, InfoWorld How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB 9 July 2021, hackernoon.com Quick Guide to Azure Storage Pricing 16 May 2023, DevOps.com Inside Azure File Storage 7 October 2015, Microsoft provided by Google News

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