DBMS > Atos Standard Common Repository vs. atoti vs. Microsoft Azure Synapse Analytics vs. Newts

System Properties Comparison Atos Standard Common Repository vs. atoti vs. Microsoft Azure Synapse Analytics vs. Newts

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	atoti  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	Newts  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 in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.	Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server	Time Series DBMS based on Cassandra
Primary database model	Document store Key-value store	Object oriented DBMS	Relational DBMS	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.61 Rank #243   Overall #10   Object oriented DBMS	Score 19.93 Rank #31   Overall #19   Relational DBMS	Score 0.07 Rank #375   Overall #41   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	atoti.io	azure.microsoft.com/­services/­synapse-analytics	opennms.github.io/­newts
Technical documentation		docs.atoti.io	docs.microsoft.com/­azure/­synapse-analytics	github.com/­OpenNMS/­newts/­wiki
Developer	Atos Convergence Creators	ActiveViam	Microsoft	OpenNMS Group
Initial release	2016		2016	2014
Current release	1703
License Commercial or Open Source	commercial	commercial free versions available	commercial	Open Source Apache 2.0
Cloud-based only Only available as a cloud service	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	C++	Java
Server operating systems	Linux		hosted	Linux OS X Windows
Data scheme	Schema and schema-less with LDAP views		yes	schema-free
Typing predefined data types such as float or date	optional		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		yes	no
SQL Support of SQL	no	Multidimensional Expressions (MDX)	yes	no
APIs and other access methods	LDAP		ADO.NET JDBC ODBC	HTTP REST Java API
Supported programming languages	All languages with LDAP bindings		C# Java PHP	Java
Server-side scripts Stored procedures	no	Python	Transact SQL	no
Triggers	yes		no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding, horizontal partitioning	Sharding, horizontal partitioning	Sharding based on Cassandra
Replication methods Methods for redundantly storing data on multiple nodes	yes		yes	selectable replication factor based on Cassandra
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	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra
Foreign keys Referential integrity	no		no docs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations		ACID	no
Concurrency Support for concurrent manipulation of data	yes	yes, multi-version concurrency control (MVCC)	yes	yes
Durability Support for making data persistent	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		yes	no
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More resources
	Atos Standard Common Repository	atoti	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	Newts
Recent citations in the news		FRTB product of the year: ActiveViam 28 November 2023, Risk.net provided by Google 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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