DBMS > Hawkular Metrics vs. Microsoft Azure Data Explorer vs. mSQL vs. Sadas Engine

System Properties Comparison Hawkular Metrics vs. Microsoft Azure Data Explorer vs. mSQL vs. Sadas Engine

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Editorial information provided by DB-Engines
Name	Hawkular Metrics  Xexclude from comparison	Microsoft Azure Data Explorer  Xexclude from comparison	mSQL Mini SQL  Xexclude from comparison	Sadas Engine  Xexclude from comparison
Description	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	Fully managed big data interactive analytics platform	mSQL (Mini SQL) is a simple and lightweight RDBMS	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database model	Time Series DBMS	Relational DBMS column oriented	Relational 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 0.08 Rank #366   Overall #39   Time Series DBMS	Score 3.80 Rank #81   Overall #43   Relational DBMS	Score 1.27 Rank #169   Overall #76   Relational DBMS	Score 0.07 Rank #373   Overall #157   Relational DBMS
Website	www.hawkular.org	azure.microsoft.com/­services/­data-explorer	hughestech.com.au/­products/­msql	www.sadasengine.com
Technical documentation	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	docs.microsoft.com/­en-us/­azure/­data-explorer		www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
Developer	Community supported by Red Hat	Microsoft	Hughes Technologies	SADAS s.r.l.
Initial release	2014	2019	1994	2006
Current release		cloud service with continuous releases	4.4, October 2021	8.0
License Commercial or Open Source	Open Source Apache 2.0	commercial	commercial free licenses can be provided	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	Java		C	C++
Server operating systems	Linux OS X Windows	hosted	AIX HP-UX Linux OS X Solaris SPARC/x86 Windows	AIX Linux Windows
Data scheme	schema-free	Fixed schema with schema-less datatypes (dynamic)	yes	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	yes	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	no	no
Secondary indexes	no	all fields are automatically indexed	yes	yes
SQL Support of SQL	no	Kusto Query Language (KQL), SQL subset	A subset of ANSI SQL is implemented no subqueries, aggregate functions, views, foreign keys, triggers	yes
APIs and other access methods	HTTP REST	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API	JDBC ODBC	JDBC ODBC Proprietary protocol
Supported programming languages	Go Java Python Ruby	.Net Go Java JavaScript (Node.js) PowerShell Python R	C C++ Delphi Java Perl PHP Tcl	.Net C C# C++ Groovy Java PHP Python
Server-side scripts Stored procedures	no	Yes, possible languages: KQL, Python, R	no	no
Triggers	yes via Hawkular Alerting	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding based on Cassandra	Sharding Implicit feature of the cloud service	none	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	selectable replication factor based on Cassandra	yes Implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	none	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 based on Cassandra Immediate Consistency based on Cassandra	Eventual Consistency Immediate Consistency	none	Immediate Consistency
Foreign keys Referential integrity	no	no	no	yes
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	no	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	no	no	yes managed by 'Learn by Usage'
User concepts Access control	no	Azure Active Directory Authentication	no	Access rights for users, groups and roles according to SQL-standard
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More resources
	Hawkular Metrics	Microsoft Azure Data Explorer	mSQL Mini SQL	Sadas Engine
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