DBMS > Alibaba Cloud TSDB vs. GeoMesa vs. JSqlDb vs. Microsoft Azure Data Explorer

System Properties Comparison Alibaba Cloud TSDB vs. GeoMesa vs. JSqlDb vs. Microsoft Azure Data Explorer

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Alibaba Cloud TSDB  Xexclude from comparison	GeoMesa  Xexclude from comparison	JSqlDb  Xexclude from comparison	Microsoft Azure Data Explorer  Xexclude from comparison
			JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
Description	A stable, reliable, and cost-effective online high-performance time series database service	GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.	JavaScript Query Language Database, stores JavaScript objects and primitives	Fully managed big data interactive analytics platform
Primary database model	Time Series DBMS	Spatial DBMS	Document store Object oriented 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	www.geomesa.org	jsqldb.org (offline)	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	CCRi and others	Konrad von Backstrom	Microsoft
Initial release		2014	2018	2019
Current release		5.0.0, May 2024	0.8, December 2018	cloud service with continuous releases
License Commercial or Open Source	commercial	Open Source Apache License 2.0	Open Source	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		Scala
Server operating systems	hosted		Linux macOS Windows	hosted
Data scheme	schema-free	yes	schema-free	Fixed schema with schema-less datatypes (dynamic)
Typing predefined data types such as float or date	Numeric data and Strings	yes	no	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	no	no	yes
Secondary indexes	no	yes	no	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			Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API
Supported programming languages	Java		JavaScript	.Net Go Java JavaScript (Node.js) PowerShell Python R
Server-side scripts Stored procedures	no	no	functions in JavaScript	Yes, possible languages: KQL, Python, R
Triggers	no	no	no	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods Methods for storing different data on different nodes		depending on storage layer	none	Sharding Implicit feature of the cloud service
Replication methods Methods for redundantly storing data on multiple nodes		depending on storage layer	none	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	no	Spark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	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	no		no
Concurrency Support for concurrent manipulation of data	yes	yes		yes
Durability Support for making data persistent	yes	yes	yes using RocksDB	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	depending on storage layer		no
User concepts Access control	Access managed on TSDB instance level	yes depending on the DBMS used for storage		Azure Active Directory Authentication
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Alibaba Cloud TSDB	GeoMesa	JSqlDb	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 Azure Data Explorer: Log and telemetry analytics benchmark 16 August 2022, Microsoft Controlling costs in Azure Data Explorer using down-sampling and aggregation 11 February 2019, Microsoft Providing modern data transfer and storage service at Microsoft with Microsoft Azure - Inside Track Blog 13 July 2023, Microsoft Individually great, collectively unmatched: Announcing updates to 3 great Azure Data Services 7 February 2019, Microsoft provided by Google News

Share this page