DBMS > Atos Standard Common Repository vs. Microsoft Azure Data Explorer vs. SWC-DB vs. XTDB vs. Yaacomo

System Properties Comparison Atos Standard Common Repository vs. Microsoft Azure Data Explorer vs. SWC-DB vs. XTDB vs. Yaacomo

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Microsoft Azure Data Explorer  Xexclude from comparison	SWC-DB Super Wide Column Database  Xexclude from comparison	XTDB formerly named Crux  Xexclude from comparison	Yaacomo  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.				Yaacomo seems to be discontinued and is 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	A high performance, scalable Wide Column DBMS	A general purpose database with bitemporal SQL and Datalog and graph queries	OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database model	Document store Key-value store	Relational DBMS column oriented	Wide column store	Document store	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	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 3.80 Rank #81   Overall #43   Relational DBMS	Score 0.08 Rank #364   Overall #13   Wide column stores	Score 0.18 Rank #332   Overall #46   Document stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	azure.microsoft.com/­services/­data-explorer	github.com/­kashirin-alex/­swc-db www.swcdb.org	github.com/­xtdb/­xtdb www.xtdb.com	yaacomo.com
Technical documentation		docs.microsoft.com/­en-us/­azure/­data-explorer		www.xtdb.com/­docs
Developer	Atos Convergence Creators	Microsoft	Alex Kashirin	Juxt Ltd.	Q2WEB GmbH
Initial release	2016	2019	2020	2019	2009
Current release	1703	cloud service with continuous releases	0.5, April 2021	1.19, September 2021
License Commercial or Open Source	commercial	commercial	Open Source GPL V3	Open Source MIT License	commercial
Cloud-based only Only available as a cloud service	no	yes	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java		C++	Clojure
Server operating systems	Linux	hosted	Linux	All OS with a Java 8 (and higher) VM Linux	Android Linux Windows
Data scheme	Schema and schema-less with LDAP views	Fixed schema with schema-less datatypes (dynamic)	schema-free	schema-free	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, extensible-data-notation format	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	no	no
Secondary indexes	yes	all fields are automatically indexed		yes	yes
SQL Support of SQL	no	Kusto Query Language (KQL), SQL subset	SQL-like query language	limited SQL, making use of Apache Calcite	yes
APIs and other access methods	LDAP	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API	Proprietary protocol Thrift	HTTP REST JDBC	JDBC ODBC
Supported programming languages	All languages with LDAP bindings	.Net Go Java JavaScript (Node.js) PowerShell Python R	C++	Clojure Java
Server-side scripts Stored procedures	no	Yes, possible languages: KQL, Python, R	no	no
Triggers	yes	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy	no	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding Implicit feature of the cloud service	Sharding	none	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.		yes, each node contains all data	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods		Spark connector (open source): github.com/­Azure/­azure-kusto-spark	no	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	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no		ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	no		yes
User concepts Access control	LDAP bind authentication	Azure Active Directory Authentication			fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	Microsoft Azure Data Explorer	SWC-DB Super Wide Column Database	XTDB formerly named Crux	Yaacomo
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	2022 All O-Zone Football Team 17 December 2022, Ozarks Sports Zone provided by Google News

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