DBMS > Alibaba Cloud Table Store vs. Bangdb vs. Drizzle vs. SAP Advantage Database Server

System Properties Comparison Alibaba Cloud Table Store vs. Bangdb vs. Drizzle vs. SAP Advantage Database Server

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Editorial information provided by DB-Engines
Name	Alibaba Cloud Table Store  Xexclude from comparison	Bangdb  Xexclude from comparison	Drizzle  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  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.	SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	A fully managed Wide Column Store for large quantities of semi-structured data with real-time access	Converged and high performance database for device data, events, time series, document and graph	MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.	Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database model	Wide column store	Document store Graph DBMS Time Series DBMS	Relational DBMS	Relational DBMS
Secondary database models		Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.31 Rank #297   Overall #11   Wide column stores	Score 0.16 Rank #338   Overall #47   Document stores #32   Graph DBMS #31   Time Series DBMS
Website	www.alibabacloud.com/­product/­table-store	bangdb.com		www.sap.com/products/advantage-database-server.html
Technical documentation	www.alibabacloud.com/­help/­en/­tablestore	docs.bangdb.com
Developer	Alibaba	Sachin Sinha, BangDB	Drizzle project, originally started by Brian Aker	Sybase, SAP
Initial release	2016	2012	2008	1993
Current release		BangDB 2.0, October 2021	7.2.4, September 2012
License Commercial or Open Source	commercial	Open Source BSD 3	Open Source GNU GPL	commercial
Cloud-based only Only available as a cloud service	yes	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		C, C++	C++
Server operating systems	hosted	Linux	FreeBSD Linux OS X	Linux Windows
Data scheme	schema-free	schema-free	yes	yes
Typing predefined data types such as float or date	yes	yes: string, long, double, int, geospatial, stream, events	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.	no	no		no
Secondary indexes	no	yes secondary, composite, nested, reverse, geospatial	yes	yes
SQL Support of SQL	no	SQL like support with command line tool	yes with proprietary extensions	yes
APIs and other access methods	HTTP API	Proprietary protocol RESTful HTTP API	JDBC	.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages	Java Python	C C# C++ Java Python	C C++ Java PHP	Delphi Perl PHP
Server-side scripts Stored procedures	no	no	no	yes
Triggers	no	yes, Notifications (with Streaming only)	no hooks for callbacks inside the server can be used.	yes
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	yes Implicit feature of the cloud service	selectable replication factor, Knob for CAP (enterprise version only)	Multi-source replication Source-replica replication	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Tunable consistency, set CAP knob accordingly		Immediate Consistency
Foreign keys Referential integrity	no	no	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic single-row operations	ACID	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes, optimistic concurrency control	yes	yes
Durability Support for making data persistent	yes	yes, implements WAL (Write ahead log) as well	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes, run db with in-memory only mode		no caching of (temporary) tables can be configured
User concepts Access control	Access rights based on subaccounts and tokens	yes (enterprise version only)	Pluggable authentication mechanisms e.g. LDAP, HTTP	fine grained access rights according to SQL-standard
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More resources
	Alibaba Cloud Table Store	Bangdb	Drizzle	SAP Advantage Database Server former name: Sybase ADS
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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