DBMS > Atos Standard Common Repository vs. Blueflood vs. Microsoft Azure Data Explorer vs. Yanza

System Properties Comparison Atos Standard Common Repository vs. Blueflood vs. Microsoft Azure Data Explorer vs. Yanza

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Blueflood  Xexclude from comparison	Microsoft Azure Data Explorer  Xexclude from comparison	Yanza  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.			Yanza seems to be discontinued. 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	Scalable TimeSeries DBMS based on Cassandra	Fully managed big data interactive analytics platform	Time Series DBMS for IoT Applications
Primary database model	Document store Key-value store	Time Series DBMS	Relational DBMS column oriented	Time Series 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 0.13 Rank #346   Overall #33   Time Series DBMS	Score 3.80 Rank #81   Overall #43   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	blueflood.io	azure.microsoft.com/­services/­data-explorer	yanza.com
Technical documentation		github.com/­rax-maas/­blueflood/­wiki	docs.microsoft.com/­en-us/­azure/­data-explorer
Developer	Atos Convergence Creators	Rackspace	Microsoft	Yanza
Initial release	2016	2013	2019	2015
Current release	1703		cloud service with continuous releases
License Commercial or Open Source	commercial	Open Source Apache 2.0	commercial	commercial free version available
Cloud-based only Only available as a cloud service	no	no	yes	no but mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java
Server operating systems	Linux	Linux OS X	hosted	Windows
Data scheme	Schema and schema-less with LDAP views	predefined scheme	Fixed schema with schema-less datatypes (dynamic)	schema-free
Typing predefined data types such as float or date	optional	yes	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	no	yes	no
Secondary indexes	yes	no	all fields are automatically indexed	no
SQL Support of SQL	no	no	Kusto Query Language (KQL), SQL subset	no
APIs and other access methods	LDAP	HTTP REST	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API	HTTP API
Supported programming languages	All languages with LDAP bindings		.Net Go Java JavaScript (Node.js) PowerShell Python R	any language that supports HTTP calls
Server-side scripts Stored procedures	no	no	Yes, possible languages: KQL, Python, R	no
Triggers	yes	no	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy	yes Timer and event based
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding based on Cassandra	Sharding Implicit feature of the cloud service	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor based on Cassandra	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		no	Spark connector (open source): github.com/­Azure/­azure-kusto-spark	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Eventual 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	no	no
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	no	Azure Active Directory Authentication	no
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More resources
	Atos Standard Common Repository	Blueflood	Microsoft Azure Data Explorer	Yanza
Recent citations in the news		Real-Time Performance and Health Monitoring Using Netdata 2 September 2019, CNX Software 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 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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