DBMS > Atos Standard Common Repository vs. Microsoft Azure Data Explorer vs. STSdb vs. WakandaDB

System Properties Comparison Atos Standard Common Repository vs. Microsoft Azure Data Explorer vs. STSdb vs. WakandaDB

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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	STSdb  Xexclude from comparison	WakandaDB  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	Key-Value Store with special method for indexing optimized for high performance using a special indexing method	WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database model	Document store Key-value store	Relational DBMS column oriented	Key-value store	Object oriented 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 0.10 Rank #357   Overall #51   Key-value stores	Score 0.10 Rank #356   Overall #16   Object oriented DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	azure.microsoft.com/­services/­data-explorer	github.com/­STSSoft/­STSdb4	wakanda.github.io
Technical documentation		docs.microsoft.com/­en-us/­azure/­data-explorer		wakanda.github.io/­doc
Developer	Atos Convergence Creators	Microsoft	STS Soft SC	Wakanda SAS
Initial release	2016	2019	2011	2012
Current release	1703	cloud service with continuous releases	4.0.8, September 2015	2.7.0 (April 29, 2019), April 2019
License Commercial or Open Source	commercial	commercial	Open Source GPLv2, commercial license available	Open Source AGPLv3, extended commercial license available
Cloud-based only Only available as a cloud service	no	yes	no	no
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Implementation language	Java		C#	C++, JavaScript
Server operating systems	Linux	hosted	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 primitive types and user defined types (classes)	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	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	.NET Client API	RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	.Net Go Java JavaScript (Node.js) PowerShell Python R	C# Java	JavaScript
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	none	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.	none	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	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	no	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	no	yes
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More resources
	Atos Standard Common Repository	Microsoft Azure Data Explorer	STSdb	WakandaDB
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) 20 February 2024, Microsoft Public Preview: Azure Data Explorer connector for Apache Flink 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

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