DBMS > Alibaba Cloud Table Store vs. Atos Standard Common Repository vs. Infobright vs. Splice Machine

System Properties Comparison Alibaba Cloud Table Store vs. Atos Standard Common Repository vs. Infobright vs. Splice Machine

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Name	Alibaba Cloud Table Store  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	Infobright  Xexclude from comparison	Splice Machine  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.
Description	A fully managed Wide Column Store for large quantities of semi-structured data with real-time access	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend	Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database model	Wide column store	Document store Key-value store	Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.31 Rank #297   Overall #11   Wide column stores		Score 1.02 Rank #192   Overall #90   Relational DBMS	Score 0.54 Rank #252   Overall #115   Relational DBMS
Website	www.alibabacloud.com/­product/­table-store	atos.net/en/convergence-creators/portfolio/standard-common-repository	ignitetech.com/­softwarelibrary/­infobrightdb	splicemachine.com
Technical documentation	www.alibabacloud.com/­help/­en/­tablestore			splicemachine.com/­how-it-works
Developer	Alibaba	Atos Convergence Creators	Ignite Technologies Inc.; formerly InfoBright Inc.	Splice Machine
Initial release	2016	2016	2005	2014
Current release		1703		3.1, March 2021
License Commercial or Open Source	commercial	commercial	commercial The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016	Open Source AGPL 3.0, commercial license available
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		Java	C	Java
Server operating systems	hosted	Linux	Linux Windows	Linux OS X Solaris Windows
Data scheme	schema-free	Schema and schema-less with LDAP views	yes	yes
Typing predefined data types such as float or date	yes	optional	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	yes	no
Secondary indexes	no	yes	no Knowledge Grid Technology used instead	yes
SQL Support of SQL	no	no	yes	yes
APIs and other access methods	HTTP API	LDAP	ADO.NET JDBC ODBC	JDBC Native Spark Datasource ODBC
Supported programming languages	Java Python	All languages with LDAP bindings	.Net C C# C++ D Eiffel Erlang Haskell Java Objective-C OCaml Perl PHP Python Ruby Scheme Tcl	C# C++ Java JavaScript (Node.js) Python R Scala
Server-side scripts Stored procedures	no	no	no	yes Java
Triggers	no	yes	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	Sharding cell division	none	Shared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes Implicit feature of the cloud service	yes	Source-replica replication	Multi-source replication Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no		no	Yes, via Full Spark Integration
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic single-row operations	Atomic execution of specific operations	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes, multi-version concurrency control (MVCC)
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.	no	yes	yes	yes
User concepts Access control	Access rights based on subaccounts and tokens	LDAP bind authentication	fine grained access rights according to SQL-standard exploiting MySQL or PostgreSQL frontend capabilities	Access rights for users, groups and roles according to SQL-standard
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More resources
	Alibaba Cloud Table Store	Atos Standard Common Repository	Infobright	Splice Machine
Recent citations in the news	Apache Software Foundation Announces New Top-Level Project Apache Paimon 16 April 2024, Datanami Gartner’s Magic Quadrant for Cloud Database Management Systems 9 December 2020, CRN Top data analytics tools comparison: Alibaba Cloud, AWS, Azure, Google Cloud, IBM 5 December 2019, Wire19 Apache Software Foundation Announces New Top-Level Project Apache Paimon 19 April 2024, Datanami provided by Google News			Machine learning data pipeline outfit Splice Machine files for insolvency 26 August 2021, The Register Splice Machine Launches Feature Store to Simplify Feature Engineering 19 January 2021, Datanami New Splice Machine RDBMS unites OLTP and OLAP 18 November 2015, CIO Big Data News: Splice Machine, Carpathia, Altiscale, DataGravity 11 February 2014, Data Center Knowledge Hadoop-based RDBMS Now Available from Splice 12 May 2014, Datanami provided by Google News

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