DBMS > Atos Standard Common Repository vs. Drizzle vs. DuckDB vs. Hawkular Metrics

System Properties Comparison Atos Standard Common Repository vs. Drizzle vs. DuckDB vs. Hawkular Metrics

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Drizzle  Xexclude from comparison	DuckDB  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.	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	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.	An embeddable, in-process, column-oriented SQL OLAP RDBMS	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database model	Document store Key-value store	Relational DBMS	Relational DBMS	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart			Score 4.63 Rank #69   Overall #37   Relational DBMS	Score 0.08 Rank #366   Overall #39   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository		duckdb.org	www.hawkular.org
Technical documentation			duckdb.org/­docs	www.hawkular.org/­hawkular-metrics/­docs/­user-guide
Developer	Atos Convergence Creators	Drizzle project, originally started by Brian Aker		Community supported by Red Hat
Initial release	2016	2008	2018	2014
Current release	1703	7.2.4, September 2012	1.0.0, June 2024
License Commercial or Open Source	commercial	Open Source GNU GPL	Open Source MIT License	Open Source Apache 2.0
Cloud-based only Only available as a cloud service	no	no	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++	Java
Server operating systems	Linux	FreeBSD Linux OS X	server-less	Linux OS X Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes	schema-free
Typing predefined data types such as float or date	optional	yes	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.	yes		no	no
Secondary indexes	yes	yes	yes	no
SQL Support of SQL	no	yes with proprietary extensions	yes	no
APIs and other access methods	LDAP	JDBC	Arrow Database Connectivity (ADBC) CLI Client JDBC ODBC	HTTP REST
Supported programming languages	All languages with LDAP bindings	C C++ Java PHP	C C# 3rd party driver C++ Crystal 3rd party driver Go 3rd party driver Java Lisp 3rd party driver Python R Ruby 3rd party driver Rust Swift Zig 3rd party driver	Go Java Python Ruby
Server-side scripts Stored procedures	no	no	no	no
Triggers	yes	no hooks for callbacks inside the server can be used.	no	yes via Hawkular Alerting
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	none	Sharding based on Cassandra
Replication methods Methods for redundantly storing data on multiple nodes	yes	Multi-source replication Source-replica replication	none	selectable replication factor based on Cassandra
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration		Immediate Consistency	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra
Foreign keys Referential integrity	no	yes	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	ACID	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes, multi-version concurrency control (MVCC)	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.	yes		yes	no
User concepts Access control	LDAP bind authentication	Pluggable authentication mechanisms e.g. LDAP, HTTP	no	no
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More resources
	Atos Standard Common Repository	Drizzle	DuckDB	Hawkular Metrics
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			MotherDuck Announces General Availability; Brings Simplicity and Power of DuckDB in a Serverless Data Warehouse 11 June 2024, PR Newswire DuckDB: The tiny but powerful analytics database 15 May 2024, InfoWorld DuckDB promises greater stability with 1.0 release 5 June 2024, The Register My First Billion (of Rows) in DuckDB | by João Pedro | May, 2024 1 May 2024, Towards Data Science DuckDB: In-Process Python Analytics for Not-Quite-Big Data 31 May 2024, The New Stack provided by Google News	Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS 5 June 2019, DevClass provided by Google News

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