DBMS > Atos Standard Common Repository vs. Microsoft Azure Synapse Analytics vs. OpenQM vs. Riak KV vs. SpaceTime

System Properties Comparison Atos Standard Common Repository vs. Microsoft Azure Synapse Analytics vs. OpenQM vs. Riak KV vs. SpaceTime

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	OpenQM also called QM  Xexclude from comparison	Riak KV  Xexclude from comparison	SpaceTime  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	Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server	QpenQM is a high-performance, self-tuning, multi-value DBMS	Distributed, fault tolerant key-value store	SpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database model	Document store Key-value store	Relational DBMS	Multivalue DBMS	Key-value store with links between data sets and object tags for the creation of secondary indexes	Spatial DBMS
Secondary database models					Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 19.93 Rank #31   Overall #19   Relational DBMS	Score 0.34 Rank #284   Overall #10   Multivalue DBMS	Score 4.01 Rank #79   Overall #9   Key-value stores	Score 0.03 Rank #392   Overall #8   Spatial DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	azure.microsoft.com/­services/­synapse-analytics	www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm		www.mireo.com/­spacetime
Technical documentation		docs.microsoft.com/­azure/­synapse-analytics		www.tiot.jp/­riak-docs/­riak/­kv/­latest
Developer	Atos Convergence Creators	Microsoft	Rocket Software, originally Martin Phillips	OpenSource, formerly Basho Technologies	Mireo
Initial release	2016	2016	1993	2009	2020
Current release	1703		3.4-12	3.2.0, December 2022
License Commercial or Open Source	commercial	commercial	Open Source GPLv2, extended commercial license available	Open Source Apache version 2, commercial enterprise edition	commercial
Cloud-based only Only available as a cloud service	no	yes	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	C++		Erlang	C++
Server operating systems	Linux	hosted	AIX FreeBSD Linux macOS Raspberry Pi Solaris Windows	Linux OS X	Linux
Data scheme	Schema and schema-less with LDAP views	yes	yes with some exceptions	schema-free	yes
Typing predefined data types such as float or date	optional	yes		no	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	yes	no	no
Secondary indexes	yes	yes	yes	restricted	no
SQL Support of SQL	no	yes	no	no	A subset of ANSI SQL is implemented
APIs and other access methods	LDAP	ADO.NET JDBC ODBC		HTTP API Native Erlang Interface	RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	C# Java PHP	.Net Basic C Java Objective C PHP Python	C unofficial client library C# C++ unofficial client library Clojure unofficial client library Dart unofficial client library Erlang Go unofficial client library Groovy unofficial client library Haskell unofficial client library Java JavaScript unofficial client library Lisp unofficial client library Perl unofficial client library PHP Python Ruby Scala unofficial client library Smalltalk unofficial client library	C# C++ Python
Server-side scripts Stored procedures	no	Transact SQL	yes	Erlang	no
Triggers	yes	no	yes	yes pre-commit hooks and post-commit hooks	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding, horizontal partitioning	yes	Sharding no "single point of failure"	Fixed-grid hypercubes
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes	yes	selectable replication factor	Real-time block device replication (DRBD)
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	yes	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Immediate Consistency	Eventual Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no docs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints	no	no links between data sets can be stored	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	ACID	no	no
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
User concepts Access control	LDAP bind authentication	yes	Access rights can be defined down to the item level	yes, using Riak Security	yes
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More resources
	Atos Standard Common Repository	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	OpenQM also called QM	Riak KV	SpaceTime
Recent citations in the news		General Available: Azure Synapse Runtime for Apache Spark 3.4 is now GA | Azure updates 8 April 2024, Microsoft Azure Synapse Runtime for Apache Spark 3.2 End of Support | Azure updates 22 March 2024, Microsoft Azure Synapse Analytics: Everything you need to know about Microsoft's cloud analytics platform 24 September 2023, DataScientest Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT | Amazon Web Services 18 October 2023, AWS Blog Azure Synapse vs. Databricks: Data Platform Comparison 2024 26 March 2024, eWeek provided by Google News

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