DBMS > Drizzle vs. Hawkular Metrics vs. Microsoft Azure Data Explorer vs. Transwarp StellarDB vs. YTsaurus

System Properties Comparison Drizzle vs. Hawkular Metrics vs. Microsoft Azure Data Explorer vs. Transwarp StellarDB vs. YTsaurus

Editorial information provided by DB-Engines
Name	Drizzle  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	Microsoft Azure Data Explorer  Xexclude from comparison	Transwarp StellarDB  Xexclude from comparison	YTsaurus  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.	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	A distributed graph DBMS built for enterprise-level graph applications	YTsaurus is an open source platform for distributed storage and processing.
Primary database model	Relational DBMS	Time Series DBMS	Relational DBMS column oriented	Graph DBMS	Document store Key-value store
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 #371   Overall #39   Graph DBMS	Score 0.21 Rank #324   Overall #45   Document stores #48   Key-value stores
Website		www.hawkular.org	azure.microsoft.com/­services/­data-explorer	www.transwarp.cn/­en/­product/­stellardb	ytsaurus.tech
Technical documentation		www.hawkular.org/­hawkular-metrics/­docs/­user-guide	docs.microsoft.com/­en-us/­azure/­data-explorer		ytsaurus.tech/­docs/­en
Developer	Drizzle project, originally started by Brian Aker	Community supported by Red Hat	Microsoft	Transwarp	Yandex
Initial release	2008	2014	2019		2023
Current release	7.2.4, September 2012		cloud service with continuous releases
License Commercial or Open Source	Open Source GNU GPL	Open Source Apache 2.0	commercial	commercial	Open Source Apache License, Version 2.0
Cloud-based only Only available as a cloud service	no	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++	Java			C++
Server operating systems	FreeBSD Linux OS X	Linux OS X Windows	hosted		Ubuntu
Data scheme	yes	schema-free	Fixed schema with schema-less datatypes (dynamic)
Typing predefined data types such as float or date	yes	yes	yes bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types		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
Secondary indexes	yes	no	all fields are automatically indexed
SQL Support of SQL	yes with proprietary extensions	no	Kusto Query Language (KQL), SQL subset	SQL-like query language	YQL, an SQL-based language, is supported
APIs and other access methods	JDBC	HTTP REST	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API	OpenCypher
Supported programming languages	C C++ Java PHP	Go Java Python Ruby	.Net Go Java JavaScript (Node.js) PowerShell Python R		C++ Go Java JavaScript Python
Server-side scripts Stored procedures	no	no	Yes, possible languages: KQL, Python, R
Triggers	no hooks for callbacks inside the server can be used.	yes via Hawkular Alerting	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding based on Cassandra	Sharding Implicit feature of the cloud service	horizontal partitioning	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication Source-replica replication	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	no	Spark connector (open source): github.com/­Azure/­azure-kusto-spark		yes
Consistency concepts Methods to ensure consistency in a distributed system		Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Eventual Consistency Immediate Consistency
Foreign keys Referential integrity	yes	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	no		ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes	yes
Durability Support for making data persistent	yes	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
User concepts Access control	Pluggable authentication mechanisms e.g. LDAP, HTTP	no	Azure Active Directory Authentication	yes	Access Control Lists
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More resources
	Drizzle	Hawkular Metrics	Microsoft Azure Data Explorer	Transwarp StellarDB	YTsaurus
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		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) | 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 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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