DBMS > Atos Standard Common Repository vs. Microsoft Azure Data Explorer vs. Sadas Engine vs. Valentina Server

System Properties Comparison Atos Standard Common Repository vs. Microsoft Azure Data Explorer vs. Sadas Engine vs. Valentina Server

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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	Sadas Engine  Xexclude from comparison	Valentina Server  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	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments	Object-relational database and reports server
Primary database model	Document store Key-value store	Relational DBMS column oriented	Relational 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 0.07 Rank #373   Overall #157   Relational DBMS	Score 0.21 Rank #325   Overall #144   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	azure.microsoft.com/­services/­data-explorer	www.sadasengine.com	www.valentina-db.net
Technical documentation		docs.microsoft.com/­en-us/­azure/­data-explorer	www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation	valentina-db.com/­docs/­dokuwiki/­v5/­doku.php
Developer	Atos Convergence Creators	Microsoft	SADAS s.r.l.	Paradigma Software
Initial release	2016	2019	2006	1999
Current release	1703	cloud service with continuous releases	8.0	5.7.5
License Commercial or Open Source	commercial	commercial	commercial free trial version available	commercial
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++
Server operating systems	Linux	hosted	AIX Linux Windows	Linux OS X Windows
Data scheme	Schema and schema-less with LDAP views	Fixed schema with schema-less datatypes (dynamic)	yes	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	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	no
Secondary indexes	yes	all fields are automatically indexed	yes	yes
SQL Support of SQL	no	Kusto Query Language (KQL), SQL subset	yes	yes
APIs and other access methods	LDAP	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API	JDBC ODBC Proprietary protocol	ODBC
Supported programming languages	All languages with LDAP bindings	.Net Go Java JavaScript (Node.js) PowerShell Python R	.Net C C# C++ Groovy Java PHP Python	.Net C C# C++ Objective-C PHP Ruby Visual Basic Visual Basic.NET
Server-side scripts Stored procedures	no	Yes, possible languages: KQL, Python, R	no	yes
Triggers	yes	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding Implicit feature of the cloud service	horizontal partitioning
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.	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
Foreign keys Referential integrity	no	no	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no
Concurrency Support for concurrent manipulation of data	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 managed by 'Learn by Usage'	yes
User concepts Access control	LDAP bind authentication	Azure Active Directory Authentication	Access rights for users, groups and roles according to SQL-standard	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	Microsoft Azure Data Explorer	Sadas Engine	Valentina Server
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		A Look at Valentina — SitePoint 18 April 2014, SitePoint MySQL GUI Tools for Windows and Ubuntu/Linux: Top 8 free or open source 7 December 2018, H2S Media provided by Google News

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