DBMS > Atos Standard Common Repository vs. Heroic vs. LeanXcale vs. Microsoft Azure Table Storage vs. SwayDB

System Properties Comparison Atos Standard Common Repository vs. Heroic vs. LeanXcale vs. Microsoft Azure Table Storage vs. SwayDB

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Heroic  Xexclude from comparison	LeanXcale  Xexclude from comparison	Microsoft Azure Table Storage  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	Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch	A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities	A Wide Column Store for rapid development using massive semi-structured datasets	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	Time Series DBMS	Key-value store Relational DBMS	Wide column store	Key-value store
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.46 Rank #265   Overall #22   Time Series DBMS	Score 0.36 Rank #280   Overall #40   Key-value stores #129   Relational DBMS	Score 4.04 Rank #77   Overall #6   Wide column stores	Score 0.04 Rank #387   Overall #61   Key-value stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­spotify/­heroic	www.leanxcale.com	azure.microsoft.com/­en-us/­services/­storage/­tables	swaydb.simer.au
Technical documentation		spotify.github.io/­heroic
Developer	Atos Convergence Creators	Spotify	LeanXcale	Microsoft	Simer Plaha
Initial release	2016	2014	2015	2012	2018
Current release	1703
License Commercial or Open Source	commercial	Open Source Apache 2.0	commercial	commercial	Open Source GNU Affero GPL V3.0
Cloud-based only Only available as a cloud service	no	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java			Scala
Server operating systems	Linux			hosted
Data scheme	Schema and schema-less with LDAP views	schema-free	yes	schema-free	schema-free
Typing predefined data types such as float or date	optional	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	yes via Elasticsearch		no	no
SQL Support of SQL	no	no	yes through Apache Derby	no	no
APIs and other access methods	LDAP	HQL (Heroic Query Language, a JSON-based language) HTTP API	JDBC Kafka Connector ODBC proprietary key/value interface Spark Connector	RESTful HTTP API
Supported programming languages	All languages with LDAP bindings		C Java Scala	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby	Java Kotlin Scala
Server-side scripts Stored procedures	no	no		no	no
Triggers	yes	no		no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding		Sharding Implicit feature of the cloud service	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes		yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	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	Eventual Consistency Immediate Consistency	Immediate Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	yes	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID	optimistic locking	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	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	yes	no	yes
User concepts Access control	LDAP bind authentication			Access rights based on private key authentication or shared access signatures	no
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More resources
	Atos Standard Common Repository	Heroic	LeanXcale	Microsoft Azure Table Storage	SwayDB
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News	Review: Google Bigtable scales with ease 7 September 2016, InfoWorld 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 Inside Azure File Storage 7 October 2015, Microsoft How to write data to Azure Table Store with an Azure Function 14 April 2017, Experts Exchange provided by Google News

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