DBMS > Atos Standard Common Repository vs. GeoMesa vs. Kingbase vs. Microsoft Azure Data Explorer

System Properties Comparison Atos Standard Common Repository vs. GeoMesa vs. Kingbase vs. Microsoft Azure Data Explorer

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	GeoMesa  Xexclude from comparison	Kingbase  Xexclude from comparison	Microsoft Azure Data Explorer  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	GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.	An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.	Fully managed big data interactive analytics platform
Primary database model	Document store Key-value store	Spatial DBMS	Relational DBMS	Relational DBMS column oriented
Secondary database models			Document store Spatial DBMS	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 0.86 Rank #205   Overall #4   Spatial DBMS	Score 0.50 Rank #257   Overall #119   Relational DBMS	Score 3.80 Rank #81   Overall #43   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.geomesa.org	www.kingbase.com.cn	azure.microsoft.com/­services/­data-explorer
Technical documentation		www.geomesa.org/­documentation/­stable/­user/­index.html		docs.microsoft.com/­en-us/­azure/­data-explorer
Developer	Atos Convergence Creators	CCRi and others	BeiJing KINGBASE Information technologies inc.	Microsoft
Initial release	2016	2014	1999	2019
Current release	1703	5.0.0, May 2024	V8.0, August 2021	cloud service with continuous releases
License Commercial or Open Source	commercial	Open Source Apache License 2.0	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	no	yes
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Scala	C and Java
Server operating systems	Linux		Linux Windows	hosted
Data scheme	Schema and schema-less with LDAP views	yes	yes	Fixed schema with schema-less datatypes (dynamic)
Typing predefined data types such as float or date	optional	yes	yes	yes bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
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	yes
Secondary indexes	yes	yes	yes	all fields are automatically indexed
SQL Support of SQL	no	no	Standard with numerous extensions	Kusto Query Language (KQL), SQL subset
APIs and other access methods	LDAP		ADO.NET gokb JDBC kdbndp ODBC PDI PDO Pro*C psycopg2 QT	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API
Supported programming languages	All languages with LDAP bindings		.Net C C++ Go Java JavaScript (Node.js) Perl PHP Python	.Net Go Java JavaScript (Node.js) PowerShell Python R
Server-side scripts Stored procedures	no	no	user defined functions	Yes, possible languages: KQL, Python, R
Triggers	yes	no	yes	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	depending on storage layer	horizontal partitioning (by range, list and hash) and vertical partitioning	Sharding Implicit feature of the cloud service
Replication methods Methods for redundantly storing data on multiple nodes	yes	depending on storage layer	yes	yes Implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce Offers an API for user-defined Map/Reduce methods		yes	no	Spark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	depending on storage layer	Immediate Consistency	Eventual Consistency Immediate Consistency
Foreign keys Referential integrity	no	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID	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	depending on storage layer		no
User concepts Access control	LDAP bind authentication	yes depending on the DBMS used for storage	fine grained access rights according to SQL-standard	Azure Active Directory Authentication
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More resources
	Atos Standard Common Repository	GeoMesa	Kingbase	Microsoft Azure Data Explorer
DB-Engines blog posts		Spatial database management systems 6 April 2021, Matthias Gelbmann show all
Recent citations in the news			Made in China 2025 is back, with a new name and a focus on database companies – The China Project 19 December 2022, The China Project Backup & Recovery Solutions from China 4 August 2022, Хабр 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) 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 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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