DBMS > Atos Standard Common Repository vs. Microsoft Azure Data Explorer vs. OpenQM vs. Trafodion

System Properties Comparison Atos Standard Common Repository vs. Microsoft Azure Data Explorer vs. OpenQM vs. Trafodion

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Microsoft Azure Data Explorer  Xexclude from comparison	OpenQM also called QM  Xexclude from comparison	Trafodion  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.			Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Fully managed big data interactive analytics platform	QpenQM is a high-performance, self-tuning, multi-value DBMS	Transactional SQL-on-Hadoop DBMS
Primary database model	Document store Key-value store	Relational DBMS column oriented	Multivalue DBMS	Relational DBMS
Secondary database models		Document store If a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell Event Store this is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps) Spatial DBMS Search engine support for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine Time Series DBMS see docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 3.80 Rank #81   Overall #43   Relational DBMS	Score 0.34 Rank #284   Overall #10   Multivalue DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	azure.microsoft.com/­services/­data-explorer	www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm	trafodion.apache.org
Technical documentation		docs.microsoft.com/­en-us/­azure/­data-explorer		trafodion.apache.org/­documentation.html
Developer	Atos Convergence Creators	Microsoft	Rocket Software, originally Martin Phillips	Apache Software Foundation, originally developed by HP
Initial release	2016	2019	1993	2014
Current release	1703	cloud service with continuous releases	3.4-12	2.3.0, February 2019
License Commercial or Open Source	commercial	commercial	Open Source GPLv2, extended commercial license available	Open Source Apache 2.0
Cloud-based only Only available as a cloud service	no	yes	no	no
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	hosted	AIX FreeBSD Linux macOS Raspberry Pi Solaris Windows	Linux
Data scheme	Schema and schema-less with LDAP views	Fixed schema with schema-less datatypes (dynamic)	yes with some exceptions	yes
Typing predefined data types such as float or date	optional	yes bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types		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	yes	yes	no
Secondary indexes	yes	all fields are automatically indexed	yes	yes
SQL Support of SQL	no	Kusto Query Language (KQL), SQL subset	no	yes
APIs and other access methods	LDAP	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API		ADO.NET JDBC ODBC
Supported programming languages	All languages with LDAP bindings	.Net Go Java JavaScript (Node.js) PowerShell Python R	.Net Basic C Java Objective C PHP Python	All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts Stored procedures	no	Yes, possible languages: KQL, Python, R	yes	Java Stored Procedures
Triggers	yes	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding Implicit feature of the cloud service	yes	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes Implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	yes	yes, via HBase
MapReduce Offers an API for user-defined Map/Reduce methods		Spark connector (open source): github.com/­Azure/­azure-kusto-spark	no	yes via user defined functions and HBase
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
Foreign keys Referential integrity	no	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	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	no		no
User concepts Access control	LDAP bind authentication	Azure Active Directory Authentication	Access rights can be defined down to the item level	fine grained access rights according to SQL-standard
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Atos Standard Common Repository	Microsoft Azure Data Explorer	OpenQM also called QM	Trafodion
Recent citations in the news		We’re retiring Azure Time Series Insights on 7 July 2024 – transition to Azure Data Explorer | Azure updates 31 May 2024, Microsoft Update records in a Kusto Database (public preview) | Azure updates 20 February 2024, Microsoft Public Preview: Azure Data Explorer connector for Apache Flink | Azure updates 8 January 2024, Microsoft Announcing General Availability to migrate Virtual Network injected Azure Data Explorer Cluster to Private Endpoints ... 5 February 2024, Microsoft Migration of Azure Virtual Network injected Azure Data Explorer cluster to Private Endpoints | Azure updates 4 December 2023, Microsoft provided by Google News		Evaluating HTAP Databases for Machine Learning Applications 2 November 2016, KDnuggets HP Throws Trafodion Hat into OLTP Hadoop Ring 14 July 2014, Datanami Low-latency, distributed database architectures are critical for emerging fog applications 7 April 2022, Embedded Computing Design Apache Software Foundation Releases its 2019 Fiscal Year Report 17 August 2019, Open Source For You provided by Google News

Share this page