DBMS > Atos Standard Common Repository vs. Riak TS vs. RisingWave vs. WakandaDB

System Properties Comparison Atos Standard Common Repository vs. Riak TS vs. RisingWave vs. WakandaDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Riak TS  Xexclude from comparison	RisingWave  Xexclude from comparison	WakandaDB  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	Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV	A distributed RDBMS for stream processing, wire-compatible with PostgreSQL	WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database model	Document store Key-value store	Time Series DBMS	Relational DBMS	Object oriented DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.28 Rank #307   Overall #27   Time Series DBMS	Score 0.64 Rank #238   Overall #110   Relational DBMS	Score 0.10 Rank #356   Overall #16   Object oriented DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository		www.risingwave.com/­database	wakanda.github.io
Technical documentation		www.tiot.jp/­riak-docs/­riak/­ts/­latest	docs.risingwave.com/­docs/­current/­intro	wakanda.github.io/­doc
Developer	Atos Convergence Creators	Open Source, formerly Basho Technologies	RisingWave Labs	Wakanda SAS
Initial release	2016	2015	2022	2012
Current release	1703	3.0.0, September 2022	1.2, September 2023	2.7.0 (April 29, 2019), April 2019
License Commercial or Open Source	commercial	Open Source	Open Source Apache Version 2.0	Open Source AGPLv3, extended commercial license available
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	Erlang	Rust	C++, JavaScript
Server operating systems	Linux	Linux OS X	Docker Linux macOS	Linux OS X Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	yes	yes
Typing predefined data types such as float or date	optional	no	Standard SQL-types and JSON	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	no	no	no
Secondary indexes	yes	restricted	yes
SQL Support of SQL	no	yes, limited	yes	no
APIs and other access methods	LDAP	HTTP API Native Erlang Interface	JDBC PostgreSQL wire protocol	RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	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	Go Java JavaScript (Node.js) Python	JavaScript
Server-side scripts Stored procedures	no	Erlang	UDFs in Python or Java	yes
Triggers	yes	yes pre-commit hooks and post-commit hooks	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding		none
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor		none
MapReduce Offers an API for user-defined Map/Reduce methods		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
Foreign keys Referential integrity	no	no links between datasets can be stored	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	no	ACID
Concurrency Support for concurrent manipulation of data	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	no
User concepts Access control	LDAP bind authentication	no	Users and Roles	yes
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More resources
	Atos Standard Common Repository	Riak TS	RisingWave	WakandaDB
Recent citations in the 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	Streaming Databases: Embracing the Convergence of Stream Processing and Databases 17 May 2024, InfoQ.com RisingWave Cloud Democratizes Event Stream Processing, Making It Affordable at Cloud Scale 27 June 2023, Datanami Building a Formula 1 Streaming Data Pipeline With Kafka and Risingwave 5 September 2023, KDnuggets How to reap benefits from the wave of AI with rise in high performance computing - ET Edge Insights 15 February 2024, ET Edge Insights JN.1—a new, highly mutated COVID variant—could cause one of the largest U.S. waves yet, experts say. When each ... 23 December 2023, Fortune provided by Google News

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