DBMS > Atos Standard Common Repository vs. DolphinDB vs. Graph Engine vs. Riak TS

System Properties Comparison Atos Standard Common Repository vs. DolphinDB vs. Graph Engine vs. Riak TS

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	DolphinDB  Xexclude from comparison	Graph Engine former name: Trinity  Xexclude from comparison	Riak TS  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	DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.	A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine	Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database model	Document store Key-value store	Time Series DBMS	Graph DBMS Key-value store	Time Series DBMS
Secondary database models		Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 4.03 Rank #78   Overall #6   Time Series DBMS	Score 0.67 Rank #232   Overall #21   Graph DBMS #34   Key-value stores	Score 0.28 Rank #307   Overall #27   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.dolphindb.com	www.graphengine.io
Technical documentation		docs.dolphindb.cn/­en/­help200/­index.html	www.graphengine.io/­docs/­manual	www.tiot.jp/­riak-docs/­riak/­ts/­latest
Developer	Atos Convergence Creators	DolphinDB, Inc	Microsoft	Open Source, formerly Basho Technologies
Initial release	2016	2018	2010	2015
Current release	1703	v2.00.4, January 2022		3.0.0, September 2022
License Commercial or Open Source	commercial	commercial free community version available	Open Source MIT License	Open Source
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++	.NET and C	Erlang
Server operating systems	Linux	Linux Windows	.NET	Linux OS X
Data scheme	Schema and schema-less with LDAP views	yes	yes	schema-free
Typing predefined data types such as float or date	optional	yes	yes	no
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	no
Secondary indexes	yes	yes		restricted
SQL Support of SQL	no	SQL-like query language	no	yes, limited
APIs and other access methods	LDAP	JDBC JSON over HTTP Kafka MQTT (Message Queue Telemetry Transport) ODBC OPC DA OPC UA RabbitMQ WebSocket	RESTful HTTP API	HTTP API Native Erlang Interface
Supported programming languages	All languages with LDAP bindings	C# C++ Go Java JavaScript MatLab Python R Rust	C# C++ F# Visual Basic	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	yes	Erlang
Triggers	yes	no	no	yes pre-commit hooks and post-commit hooks
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	horizontal partitioning	horizontal partitioning	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes		selectable replication factor
MapReduce Offers an API for user-defined Map/Reduce methods		yes		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	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	yes	no	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes	yes
User concepts Access control	LDAP bind authentication	Administrators, Users, Groups		no
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More resources
	Atos Standard Common Repository	DolphinDB	Graph Engine former name: Trinity	Riak TS
Recent citations in the news			Trinity 30 October 2010, Microsoft Open source Microsoft Graph Engine takes on Neo4j 13 February 2017, InfoWorld IBM releases Graph, a service that can outperform SQL databases 27 July 2016, GeekWire The graph analytics landscape 2019 - DataScienceCentral.com 27 February 2019, Data Science Central Aerospike Is Now a Graph Database, Too 21 June 2023, Datanami 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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