DBMS > Atos Standard Common Repository vs. Badger vs. Microsoft Azure Table Storage vs. RDF4J vs. SwayDB

System Properties Comparison Atos Standard Common Repository vs. Badger vs. Microsoft Azure Table Storage vs. RDF4J vs. SwayDB

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Badger  Xexclude from comparison	Microsoft Azure Table Storage  Xexclude from comparison	RDF4J formerly known as Sesame  Xexclude from comparison	SwayDB  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	An embeddable, persistent, simple and fast Key-Value Store, written purely in Go.	A Wide Column Store for rapid development using massive semi-structured datasets	RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.	An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database model	Document store Key-value store	Key-value store	Wide column store	RDF store	Key-value store
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.22 Rank #320   Overall #47   Key-value stores	Score 4.04 Rank #77   Overall #6   Wide column stores	Score 0.74 Rank #222   Overall #9   RDF stores	Score 0.04 Rank #387   Overall #61   Key-value stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­dgraph-io/­badger	azure.microsoft.com/­en-us/­services/­storage/­tables	rdf4j.org	swaydb.simer.au
Technical documentation		godoc.org/­github.com/­dgraph-io/­badger		rdf4j.org/­documentation
Developer	Atos Convergence Creators	DGraph Labs	Microsoft	Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.	Simer Plaha
Initial release	2016	2017	2012	2004	2018
Current release	1703
License Commercial or Open Source	commercial	Open Source Apache 2.0	commercial	Open Source Eclipse Distribution License (EDL), v1.0.	Open Source GNU Affero GPL V3.0
Cloud-based only Only available as a cloud service	no	no	yes	no	no
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Implementation language	Java	Go		Java	Scala
Server operating systems	Linux	BSD Linux OS X Solaris Windows	hosted	Linux OS X Unix Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	schema-free	yes RDF Schemas	schema-free
Typing predefined data types such as float or date	optional	no	yes	yes	no
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		no
Secondary indexes	yes	no	no	yes	no
SQL Support of SQL	no	no	no	no	no
APIs and other access methods	LDAP		RESTful HTTP API	Java API RIO RDF Input/Output Sail API SeRQL Sesame RDF Query Language Sesame REST HTTP Protocol SPARQL
Supported programming languages	All languages with LDAP bindings	Go	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby	Java PHP Python	Java Kotlin Scala
Server-side scripts Stored procedures	no	no	no	yes	no
Triggers	yes	no	no	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	Sharding Implicit feature of the cloud service	none	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	none	none
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	none	Immediate Consistency		Immediate Consistency
Foreign keys Referential integrity	no	no	no		no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	optimistic locking	ACID Isolation support depends on the API used	Atomic execution of operations
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes in-memory storage is supported as well	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	no		yes
User concepts Access control	LDAP bind authentication	no	Access rights based on private key authentication or shared access signatures	no	no
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More resources
	Atos Standard Common Repository	Badger	Microsoft Azure Table Storage	RDF4J formerly known as Sesame	SwayDB
Recent citations in the news			Working with Azure to Use and Manage Data Lakes 7 March 2024, Simplilearn How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB 9 July 2021, hackernoon.com How to use Azure Table storage in .Net 14 January 2019, InfoWorld Quick Guide to Azure Storage Pricing 16 May 2023, DevOps.com How to write data to Azure Table Store with an Azure Function 14 April 2017, Experts Exchange provided by Google News	GraphDB Goes Open Source 27 January 2020, iProgrammer Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer 13 June 2019, Markets Insider provided by Google News

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