DBMS > Atos Standard Common Repository vs. Drizzle vs. Hawkular Metrics vs. SAP IQ

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

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Drizzle  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	SAP IQ former name: Sybase IQ  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.	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	Columnar RDBMS optimized for Big Data analytics
Primary database model	Document store Key-value store	Relational DBMS	Time Series DBMS	Relational DBMS column-oriented
DB-Engines Ranking measures the popularity of database management systems Trend Chart			Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 2.64 Rank #108   Overall #52   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository		www.hawkular.org	www.sap.com/­products/­technology-platform/­sybase-iq-big-data-management.html
Technical documentation			www.hawkular.org/­hawkular-metrics/­docs/­user-guide	help.sap.com/­docs/­SAP_IQ
Developer	Atos Convergence Creators	Drizzle project, originally started by Brian Aker	Community supported by Red Hat	SAP, formerly Sybase
Initial release	2016	2008	2014	1994
Current release	1703	7.2.4, September 2012		16.1 SPS04, April 2019
License Commercial or Open Source	commercial	Open Source GNU GPL	Open Source Apache 2.0	commercial
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++	Java
Server operating systems	Linux	FreeBSD Linux OS X	Linux OS X Windows	AIX HP-UX Linux Solaris Windows
Data scheme	Schema and schema-less with LDAP views	yes	schema-free	yes
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	no	yes
SQL Support of SQL	no	yes with proprietary extensions	no	yes
APIs and other access methods	LDAP	JDBC	HTTP REST	ADO.NET JDBC ODBC RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	C C++ Java PHP	Go Java Python Ruby	C C# C++ Java Perl PHP Python Ruby
Server-side scripts Stored procedures	no	no	no	yes
Triggers	yes	no hooks for callbacks inside the server can be used.	yes via Hawkular Alerting	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	Sharding based on Cassandra	shared disk or shared nothing architectures with SAP IQ Multiplexer
Replication methods Methods for redundantly storing data on multiple nodes	yes	Multi-source replication Source-replica replication	selectable replication factor based on Cassandra	SAP/Sybase Replication Server
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	Hadoop integration
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration		Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Immediate Consistency
Foreign keys Referential integrity	no	yes	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	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.	yes		no	no
User concepts Access control	LDAP bind authentication	Pluggable authentication mechanisms e.g. LDAP, HTTP	no	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	Drizzle	Hawkular Metrics	SAP IQ former name: Sybase IQ
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
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