DBMS > Hawkular Metrics vs. Microsoft Azure Data Explorer vs. SiriDB vs. VelocityDB

System Properties Comparison Hawkular Metrics vs. Microsoft Azure Data Explorer vs. SiriDB vs. VelocityDB

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Editorial information provided by DB-Engines
Name	Hawkular Metrics  Xexclude from comparison	Microsoft Azure Data Explorer  Xexclude from comparison	SiriDB  Xexclude from comparison	VelocityDB  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	Open Source Time Series DBMS	A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database model	Time Series DBMS	Relational DBMS column oriented	Time Series DBMS	Graph DBMS Object oriented 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 0.07 Rank #378   Overall #42   Time Series DBMS	Score 0.11 Rank #354   Overall #37   Graph DBMS #15   Object oriented DBMS
Website	www.hawkular.org	azure.microsoft.com/­services/­data-explorer	siridb.com	velocitydb.com
Technical documentation	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	docs.microsoft.com/­en-us/­azure/­data-explorer	docs.siridb.com	velocitydb.com/­UserGuide
Developer	Community supported by Red Hat	Microsoft	Cesbit	VelocityDB Inc
Initial release	2014	2019	2017	2011
Current release		cloud service with continuous releases		7.x
License Commercial or Open Source	Open Source Apache 2.0	commercial	Open Source MIT License	commercial
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	Linux	Any that supports .NET
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 Numeric data	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	no	no
APIs and other access methods	HTTP REST	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API	HTTP API	.Net
Supported programming languages	Go Java Python Ruby	.Net Go Java JavaScript (Node.js) PowerShell Python R	C C++ Go Java JavaScript (Node.js) PHP Python R	.Net
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	Callbacks are triggered when data changes
Partitioning methods Methods for storing different data on different nodes	Sharding based on Cassandra	Sharding Implicit feature of the cloud service	Sharding	Sharding
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.	yes
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		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	ACID
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	no	yes	yes
User concepts Access control	no	Azure Active Directory Authentication	simple rights management via user accounts	Based on Windows Authentication
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More resources
	Hawkular Metrics	Microsoft Azure Data Explorer	SiriDB	VelocityDB
Recent citations in the news	Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS 5 June 2019, DevClass provided by Google 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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