DBMS > Drizzle vs. Microsoft Azure Data Explorer vs. openGemini vs. Sadas Engine

System Properties Comparison Drizzle vs. Microsoft Azure Data Explorer vs. openGemini vs. Sadas Engine

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Editorial information provided by DB-Engines
Name	Drizzle  Xexclude from comparison	Microsoft Azure Data Explorer  Xexclude from comparison	openGemini  Xexclude from comparison	Sadas Engine  Xexclude from comparison
	Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
Description	MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.	Fully managed big data interactive analytics platform	An open source distributed Time Series DBMS with high concurrency, high performance, and high scalability	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database model	Relational DBMS	Relational DBMS column oriented	Time Series DBMS	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
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 3.80 Rank #81   Overall #43   Relational DBMS	Score 0.09 Rank #361   Overall #37   Time Series DBMS	Score 0.07 Rank #373   Overall #157   Relational DBMS
Website		azure.microsoft.com/­services/­data-explorer	www.opengemini.org github.com/­openGemini	www.sadasengine.com
Technical documentation		docs.microsoft.com/­en-us/­azure/­data-explorer	docs.opengemini.org/­guide	www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
Developer	Drizzle project, originally started by Brian Aker	Microsoft	Huawei and openGemini community	SADAS s.r.l.
Initial release	2008	2019	2022	2006
Current release	7.2.4, September 2012	cloud service with continuous releases	1.1, July 2023	8.0
License Commercial or Open Source	Open Source GNU GPL	commercial	Open Source Apache Version 2.0	commercial free trial version available
Cloud-based only Only available as a cloud service	no	yes	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	C++		Go	C++
Server operating systems	FreeBSD Linux OS X	hosted	Linux Windows	AIX Linux Windows
Data scheme	yes	Fixed schema with schema-less datatypes (dynamic)	schema-free	yes
Typing predefined data types such as float or date	yes	yes bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types	Integer, Float, Boolean, String	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	no	no
Secondary indexes	yes	all fields are automatically indexed	yes	yes
SQL Support of SQL	yes with proprietary extensions	Kusto Query Language (KQL), SQL subset	SQL-like query language	yes
APIs and other access methods	JDBC	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API	HTTP REST	JDBC ODBC Proprietary protocol
Supported programming languages	C C++ Java PHP	.Net Go Java JavaScript (Node.js) PowerShell Python R	C C++ Go Java JavaScript (Node.js) Python Rust	.Net C C# C++ Groovy Java PHP Python
Server-side scripts Stored procedures	no	Yes, possible languages: KQL, Python, R	no	no
Triggers	no hooks for callbacks inside the server can be used.	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding Implicit feature of the cloud service	Sharding	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication Source-replica replication	yes Implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	yes	none
MapReduce Offers an API for user-defined Map/Reduce methods	no	Spark connector (open source): github.com/­Azure/­azure-kusto-spark	no	no
Consistency concepts Methods to ensure consistency in a distributed system		Eventual Consistency Immediate Consistency		Immediate Consistency
Foreign keys Referential integrity	yes	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	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	yes managed by 'Learn by Usage'
User concepts Access control	Pluggable authentication mechanisms e.g. LDAP, HTTP	Azure Active Directory Authentication	Administrators and common users accounts	Access rights for users, groups and roles according to SQL-standard
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More resources
	Drizzle	Microsoft Azure Data Explorer	openGemini	Sadas Engine
DB-Engines blog posts	MySQL won the April ranking; did its forks follow? 1 April 2015, Paul Andlinger Has MySQL finally lost its mojo? 1 July 2013, 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) | Azure updates 20 February 2024, Microsoft Public Preview: Azure Data Explorer connector for Apache Flink | Azure updates 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	About HUAWEI Open Source 9 February 2022, Huawei provided by Google News

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