DBMS > Atos Standard Common Repository vs. GridGain vs. Riak TS vs. Transwarp ArgoDB

System Properties Comparison Atos Standard Common Repository vs. GridGain vs. Riak TS vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	GridGain  Xexclude from comparison	Riak TS  Xexclude from comparison	Transwarp ArgoDB  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	GridGain is an in-memory computing platform, built on Apache Ignite	Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV	Distributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database model	Document store Key-value store	Key-value store Relational DBMS	Time Series DBMS	Relational DBMS
Secondary database models				Search engine
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 1.55 Rank #150   Overall #26   Key-value stores #70   Relational DBMS	Score 0.28 Rank #307   Overall #27   Time Series DBMS	Score 0.12 Rank #348   Overall #151   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.gridgain.com		www.transwarp.cn/­en/­product/­argodb
Technical documentation		www.gridgain.com/­docs/­index.html	www.tiot.jp/­riak-docs/­riak/­ts/­latest	docs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
Developer	Atos Convergence Creators	GridGain Systems, Inc.	Open Source, formerly Basho Technologies	Transwarp
Initial release	2016	2007	2015
Current release	1703	GridGain 8.5.1	3.0.0, September 2022
License Commercial or Open Source	commercial	commercial	Open Source	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	Java, C++, .Net	Erlang
Server operating systems	Linux	Linux OS X Solaris Windows	Linux OS X
Data scheme	Schema and schema-less with LDAP views	yes	schema-free	yes
Typing predefined data types such as float or date	optional	yes	no	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	yes	no
Secondary indexes	yes	yes	restricted	yes
SQL Support of SQL	no	ANSI-99 for query and DML statements, subset of DDL	yes, limited	yes
APIs and other access methods	LDAP	HDFS API Hibernate JCache JDBC ODBC Proprietary protocol RESTful HTTP API Spring Data	HTTP API Native Erlang Interface
Supported programming languages	All languages with LDAP bindings	C# C++ Java PHP Python Ruby Scala	C unofficial client library C# C++ unofficial client library Clojure unofficial client library Dart unofficial client library Erlang Go unofficial client library Groovy unofficial client library Haskell unofficial client library Java JavaScript unofficial client library Lisp unofficial client library Perl unofficial client library PHP Python Ruby Scala unofficial client library Smalltalk unofficial client library
Server-side scripts Stored procedures	no	yes (compute grid and cache interceptors can be used instead)	Erlang
Triggers	yes	yes (cache interceptors and events)	yes pre-commit hooks and post-commit hooks
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes (replicated cache)	selectable replication factor
MapReduce Offers an API for user-defined Map/Reduce methods		yes (compute grid and hadoop accelerator)	yes
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Eventual Consistency
Foreign keys Referential integrity	no	no	no links between datasets can be stored
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	no
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	yes
User concepts Access control	LDAP bind authentication	Security Hooks for custom implementations	no
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More resources
	Atos Standard Common Repository	GridGain	Riak TS	Transwarp ArgoDB
Recent citations in the news		GridGain in-memory data and generative AI – Blocks and Files 10 May 2024, Blocks & Files GridGain's 2023 Growth Positions Company for Strong 2024 24 January 2024, PR Newswire GridGain Unified Real-Time Data Platform Version 8.9 Addresses Today's More Complex Real-Time Data Processing ... 12 October 2023, GlobeNewswire GridGain Showcases Power of Apache Ignite at Community Over Code Conference 5 October 2023, Datanami GridGain Announces Call for Speakers for Virtual Apache Ignite Summit 2024 8 February 2024, PR Newswire provided by Google News	New Basho Data Platform Provides Operational Simplicity for Enterprise Big Data Applications 7 June 2015, insideBIGDATA Best open source databases for IoT applications 26 May 2017, Open Source For You provided by Google News

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