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

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

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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	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	Fully managed big data interactive analytics platform	QpenQM is a high-performance, self-tuning, multi-value DBMS	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	Relational DBMS column oriented	Multivalue DBMS	Key-value store
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	Score 0.04 Rank #387   Overall #61   Key-value stores
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	swaydb.simer.au
Technical documentation		docs.microsoft.com/­en-us/­azure/­data-explorer
Developer	Atos Convergence Creators	Microsoft	Rocket Software, originally Martin Phillips	Simer Plaha
Initial release	2016	2019	1993	2018
Current release	1703	cloud service with continuous releases	3.4-12
License Commercial or Open Source	commercial	commercial	Open Source GPLv2, extended commercial license available	Open Source GNU Affero GPL V3.0
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			Scala
Server operating systems	Linux	hosted	AIX FreeBSD Linux macOS Raspberry Pi Solaris Windows
Data scheme	Schema and schema-less with LDAP views	Fixed schema with schema-less datatypes (dynamic)	yes with some exceptions	schema-free
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		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	yes	yes	no
Secondary indexes	yes	all fields are automatically indexed	yes	no
SQL Support of SQL	no	Kusto Query Language (KQL), SQL subset	no	no
APIs and other access methods	LDAP	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API
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	Java Kotlin Scala
Server-side scripts Stored procedures	no	Yes, possible languages: KQL, Python, R	yes	no
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	none
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	none
MapReduce Offers an API for user-defined Map/Reduce methods		Spark connector (open source): github.com/­Azure/­azure-kusto-spark	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
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	ACID	Atomic execution of operations
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		yes
User concepts Access control	LDAP bind authentication	Azure Active Directory Authentication	Access rights can be defined down to the item level	no
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More resources
	Atos Standard Common Repository	Microsoft Azure Data Explorer	OpenQM also called QM	SwayDB
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google 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 New Features for graph-match KQL Operator: Enhanced Pattern Matching and Cycle Control | Azure updates 24 January 2024, Microsoft provided by Google News

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