DBMS > Atos Standard Common Repository vs. Drizzle vs. FatDB vs. SAP Advantage Database Server vs. TimescaleDB

System Properties Comparison Atos Standard Common Repository vs. Drizzle vs. FatDB vs. SAP Advantage Database Server vs. TimescaleDB

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Drizzle  Xexclude from comparison	FatDB  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison	TimescaleDB  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.	FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.	SAP Advantage Database Server seems to be discontinued. Therefore it 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.	A .NET NoSQL DBMS that can integrate with and extend SQL Server.	Low-cost RDBMS with access to ISAM and FoxPro data structures	A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database model	Document store Key-value store	Relational DBMS	Document store Key-value store	Relational DBMS	Time Series DBMS
Secondary database models					Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart					Score 4.46 Rank #71   Overall #5   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository			www.sap.com/products/advantage-database-server.html	www.timescale.com
Technical documentation					docs.timescale.com
Developer	Atos Convergence Creators	Drizzle project, originally started by Brian Aker	FatCloud	Sybase, SAP	Timescale
Initial release	2016	2008	2012	1993	2017
Current release	1703	7.2.4, September 2012			2.15.0, May 2024
License Commercial or Open Source	commercial	Open Source GNU GPL	commercial	commercial	Open Source Apache 2.0
Cloud-based only Only available as a cloud service	no	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#		C
Server operating systems	Linux	FreeBSD Linux OS X	Windows	Linux Windows	Linux OS X Windows
Data scheme	Schema and schema-less with LDAP views	yes	schema-free	yes	yes
Typing predefined data types such as float or date	optional	yes	yes	yes	numerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex 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.	yes			no	yes
Secondary indexes	yes	yes	yes	yes	yes
SQL Support of SQL	no	yes with proprietary extensions	no Via inetgration in SQL Server	yes	yes full PostgreSQL SQL syntax
APIs and other access methods	LDAP	JDBC	.NET Client API LINQ RESTful HTTP API RPC Windows WCF Bindings	.NET Client API ADO.NET JDBC ODBC OLE DB	ADO.NET JDBC native C library ODBC streaming API for large objects
Supported programming languages	All languages with LDAP bindings	C C++ Java PHP	C#	Delphi Perl PHP	.Net C C++ Delphi Java JDBC JavaScript Perl PHP Python R Ruby Scheme Tcl
Server-side scripts Stored procedures	no	no	yes via applications	yes	user defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggers	yes	no hooks for callbacks inside the server can be used.	yes via applications	yes	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	Sharding	none	yes, across time and space (hash partitioning) attributes
Replication methods Methods for redundantly storing data on multiple nodes	yes	Multi-source replication Source-replica replication	selectable replication factor	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication	Source-replica replication with hot standby and reads on replicas
MapReduce Offers an API for user-defined Map/Reduce methods		no	yes	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration		Eventual Consistency Immediate Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	yes	no	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	no	ACID	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.	yes			no caching of (temporary) tables can be configured	no
User concepts Access control	LDAP bind authentication	Pluggable authentication mechanisms e.g. LDAP, HTTP	no Can implement custom security layer via applications	fine grained access rights according to SQL-standard	fine grained access rights according to SQL-standard
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Atos Standard Common Repository	Drizzle	FatDB	SAP Advantage Database Server former name: Sybase ADS	TimescaleDB
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				SAP Announces Q3 2023 Results: Asia Pacific and Japan View 19 October 2023, SAP News provided by Google News	TimescaleDB Is a Vector Database Now, Too 25 September 2023, Datanami Timescale Acquires PopSQL to Bring a Modern, Collaborative SQL GUI to PostgreSQL Developers 4 April 2024, PR Newswire Power IoT and time-series workloads with TimescaleDB for Azure Database for PostgreSQL 18 March 2019, Microsoft Timescale Valuation Rockets to Over $1B with $110M Round, Marking the Explosive Rise of Time-Series Data 22 February 2022, Business Wire Timescale announces $15M investment and new enterprise version of TimescaleDB 29 January 2019, TechCrunch provided by Google News

Share this page