DBMS > Atos Standard Common Repository vs. Drizzle vs. FeatureBase vs. SpaceTime

System Properties Comparison Atos Standard Common Repository vs. Drizzle vs. FeatureBase vs. SpaceTime

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Drizzle  Xexclude from comparison	FeatureBase  Xexclude from comparison	SpaceTime  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.	Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.	SpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database model	Document store Key-value store	Relational DBMS	Relational DBMS	Spatial DBMS
Secondary database models				Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart			Score 0.31 Rank #292   Overall #135   Relational DBMS	Score 0.03 Rank #392   Overall #8   Spatial DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository		www.featurebase.com	www.mireo.com/­spacetime
Technical documentation			docs.featurebase.com
Developer	Atos Convergence Creators	Drizzle project, originally started by Brian Aker	Molecula and Pilosa Open Source Contributors	Mireo
Initial release	2016	2008	2017	2020
Current release	1703	7.2.4, September 2012	2022, May 2022
License Commercial or Open Source	commercial	Open Source GNU GPL	commercial	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++	Go	C++
Server operating systems	Linux	FreeBSD Linux OS X	Linux macOS	Linux
Data scheme	Schema and schema-less with LDAP views	yes	yes	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	no
SQL Support of SQL	no	yes with proprietary extensions	SQL queries	A subset of ANSI SQL is implemented
APIs and other access methods	LDAP	JDBC	gRPC JDBC Kafka Connector ODBC	RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	C C++ Java PHP	Java Python	C# C++ Python
Server-side scripts Stored procedures	no	no		no
Triggers	yes	no hooks for callbacks inside the server can be used.	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	Sharding	Fixed-grid hypercubes
Replication methods Methods for redundantly storing data on multiple nodes	yes	Multi-source replication Source-replica replication	yes	Real-time block device replication (DRBD)
MapReduce Offers an API for user-defined Map/Reduce methods		no		no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration			Immediate Consistency
Foreign keys Referential integrity	no	yes	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	yes	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes, using Linux fsync	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		yes
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More resources
	Atos Standard Common Repository	Drizzle	FeatureBase	SpaceTime
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			The 10 Hottest Big Data Startups Of 2021 18 November 2021, CRN Get Your Infrastructure Ready for Real-Time Analytics 9 March 2022, Built In Pilosa: A Scalable High Performance Bitmap Database Index 17 June 2019, hackernoon.com 32 Data and Analytics Startups That Will Go Big, According to VCs 28 September 2021, Business Insider The 10 Coolest Big Data Tools Of 2021 7 December 2021, CRN provided by Google News

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