DBMS > Alibaba Cloud TSDB vs. Atos Standard Common Repository vs. GeoMesa vs. Microsoft Azure Data Explorer

System Properties Comparison Alibaba Cloud TSDB vs. Atos Standard Common Repository vs. GeoMesa vs. Microsoft Azure Data Explorer

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Editorial information provided by DB-Engines
Name	Alibaba Cloud TSDB  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	GeoMesa  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	A stable, reliable, and cost-effective online high-performance time series database service	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.	Fully managed big data interactive analytics platform
Primary database model	Time Series DBMS	Document store Key-value store	Spatial DBMS	Relational DBMS column oriented
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 0.29 Rank #301   Overall #26   Time Series DBMS		Score 0.86 Rank #205   Overall #4   Spatial DBMS	Score 3.80 Rank #81   Overall #43   Relational DBMS
Website	www.alibabacloud.com/­product/­hitsdb	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.geomesa.org	azure.microsoft.com/­services/­data-explorer
Technical documentation	www.alibabacloud.com/­help/­en/­time-series-database/­latest/­what-is-tsdb		www.geomesa.org/­documentation/­stable/­user/­index.html	docs.microsoft.com/­en-us/­azure/­data-explorer
Developer	Alibaba	Atos Convergence Creators	CCRi and others	Microsoft
Initial release		2016	2014	2019
Current release		1703	5.0.0, May 2024	cloud service with continuous releases
License Commercial or Open Source	commercial	commercial	Open Source Apache License 2.0	commercial
Cloud-based only Only available as a cloud service	yes	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
Server operating systems	hosted	Linux		hosted
Data scheme	schema-free	Schema and schema-less with LDAP views	yes	Fixed schema with schema-less datatypes (dynamic)
Typing predefined data types such as float or date	Numeric data and Strings	optional	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.	no	yes	no	yes
Secondary indexes	no	yes	yes	all fields are automatically indexed
SQL Support of SQL	no	no	no	Kusto Query Language (KQL), SQL subset
APIs and other access methods	HTTP REST	LDAP		Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API
Supported programming languages	Java	All languages with LDAP bindings		.Net Go Java JavaScript (Node.js) PowerShell Python R
Server-side scripts Stored procedures	no	no	no	Yes, possible languages: KQL, Python, R
Triggers	no	yes	no	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	Sharding Implicit feature of the cloud service
Replication methods Methods for redundantly storing data on multiple nodes		yes	depending on storage layer	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	no		yes	Spark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration	depending on storage layer	Eventual Consistency Immediate Consistency
Foreign keys Referential integrity	no	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	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	depending on storage layer	no
User concepts Access control	Access managed on TSDB instance level	LDAP bind authentication	yes depending on the DBMS used for storage	Azure Active Directory Authentication
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More resources
	Alibaba Cloud TSDB	Atos Standard Common Repository	GeoMesa	Microsoft Azure Data Explorer
DB-Engines blog posts			Spatial database management systems 6 April 2021, Matthias Gelbmann show all
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 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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