DBMS > Alibaba Cloud Table Store vs. Atos Standard Common Repository vs. Microsoft Azure Data Explorer vs. SpaceTime

System Properties Comparison Alibaba Cloud Table Store vs. Atos Standard Common Repository vs. Microsoft Azure Data Explorer vs. SpaceTime

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Editorial information provided by DB-Engines
Name	Alibaba Cloud Table Store  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	Microsoft Azure Data Explorer  Xexclude from comparison	SpaceTime  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.
Description	A fully managed Wide Column Store for large quantities of semi-structured data with real-time access	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Fully managed big data interactive analytics platform	SpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database model	Wide column store	Document store Key-value store	Relational DBMS column oriented	Spatial 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	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.31 Rank #297   Overall #11   Wide column stores		Score 3.80 Rank #81   Overall #43   Relational DBMS	Score 0.03 Rank #392   Overall #8   Spatial DBMS
Website	www.alibabacloud.com/­product/­table-store	atos.net/en/convergence-creators/portfolio/standard-common-repository	azure.microsoft.com/­services/­data-explorer	www.mireo.com/­spacetime
Technical documentation	www.alibabacloud.com/­help/­en/­tablestore		docs.microsoft.com/­en-us/­azure/­data-explorer
Developer	Alibaba	Atos Convergence Creators	Microsoft	Mireo
Initial release	2016	2016	2019	2020
Current release		1703	cloud service with continuous releases
License Commercial or Open Source	commercial	commercial	commercial	commercial
Cloud-based only Only available as a cloud service	yes	no	yes	no
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Implementation language		Java		C++
Server operating systems	hosted	Linux	hosted	Linux
Data scheme	schema-free	Schema and schema-less with LDAP views	Fixed schema with schema-less datatypes (dynamic)	yes
Typing predefined data types such as float or date	yes	optional	yes bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types	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.	no	yes	yes	no
Secondary indexes	no	yes	all fields are automatically indexed	no
SQL Support of SQL	no	no	Kusto Query Language (KQL), SQL subset	A subset of ANSI SQL is implemented
APIs and other access methods	HTTP API	LDAP	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API	RESTful HTTP API
Supported programming languages	Java Python	All languages with LDAP bindings	.Net Go Java JavaScript (Node.js) PowerShell Python R	C# C++ Python
Server-side scripts Stored procedures	no	no	Yes, possible languages: KQL, Python, R	no
Triggers	no	yes	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy	no
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	Sharding cell division	Sharding Implicit feature of the cloud service	Fixed-grid hypercubes
Replication methods Methods for redundantly storing data on multiple nodes	yes Implicit feature of the cloud service	yes	yes Implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	Real-time block device replication (DRBD)
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	Immediate Consistency or Eventual Consistency depending on configuration	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 single-row operations	Atomic execution of specific operations	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.	no	yes	no	no
User concepts Access control	Access rights based on subaccounts and tokens	LDAP bind authentication	Azure Active Directory Authentication	yes
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More resources
	Alibaba Cloud Table Store	Atos Standard Common Repository	Microsoft Azure Data Explorer	SpaceTime
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