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

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

Editorial information provided by DB-Engines
Name	Drizzle  Xexclude from comparison	Galaxybase  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	Microsoft Azure Data Explorer  Xexclude from comparison	Transwarp StellarDB  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.	Scalable, ACID-compliant native distributed parallel graph platform	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
Primary database model	Relational DBMS	Graph DBMS	Time Series DBMS	Relational DBMS column oriented	Graph 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 0.07 Rank #377   Overall #40   Graph DBMS	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
Website		galaxybase.com	www.hawkular.org	azure.microsoft.com/­services/­data-explorer	www.transwarp.cn/­en/­product/­stellardb
Technical documentation			www.hawkular.org/­hawkular-metrics/­docs/­user-guide	docs.microsoft.com/­en-us/­azure/­data-explorer
Developer	Drizzle project, originally started by Brian Aker	Chuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司	Community supported by Red Hat	Microsoft	Transwarp
Initial release	2008	2017	2014	2019
Current release	7.2.4, September 2012	Nov 20, November 2021		cloud service with continuous releases
License Commercial or Open Source	Open Source GNU GPL	commercial	Open Source Apache 2.0	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	C++	C and Java	Java
Server operating systems	FreeBSD Linux OS X	Linux	Linux OS X Windows	hosted
Data scheme	yes	Strong typed schema	schema-free	Fixed schema with schema-less datatypes (dynamic)
Typing predefined data types such as float or date	yes	yes	yes	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	yes
Secondary indexes	yes	yes	no	all fields are automatically indexed
SQL Support of SQL	yes with proprietary extensions	no	no	Kusto Query Language (KQL), SQL subset	SQL-like query language
APIs and other access methods	JDBC	Browser interface console (shell) Graph API (Gremlin) OpenCypher Proprietary native API	HTTP REST	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API	OpenCypher
Supported programming languages	C C++ Java PHP	Go Java Python	Go Java Python Ruby	.Net Go Java JavaScript (Node.js) PowerShell Python R
Server-side scripts Stored procedures	no	user defined procedures and functions	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	Sharding based on Cassandra	Sharding Implicit feature of the cloud service	horizontal partitioning
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.
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	Spark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts Methods to ensure consistency in a distributed system		Immediate Consistency	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Eventual Consistency Immediate Consistency
Foreign keys Referential integrity	yes	yes Relationships in graphs	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	ACID	no	no
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.		yes	no	no
User concepts Access control	Pluggable authentication mechanisms e.g. LDAP, HTTP	Role-based access control	no	Azure Active Directory Authentication	yes
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More resources
	Drizzle	Galaxybase	Hawkular Metrics	Microsoft Azure Data Explorer	Transwarp StellarDB
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 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.com Individually great, collectively unmatched: Announcing updates to 3 great Azure Data Services 7 February 2019, Microsoft provided by Google News

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