DBMS > Apache Kylin vs. Atos Standard Common Repository vs. DataFS vs. VelocityDB

System Properties Comparison Apache Kylin vs. Atos Standard Common Repository vs. DataFS vs. VelocityDB

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Editorial information provided by DB-Engines
Name	Apache Kylin  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	DataFS  Xexclude from comparison	VelocityDB  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.
Description	A distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stack	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.	A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database model	Relational DBMS	Document store Key-value store	Object oriented DBMS	Graph DBMS Object oriented DBMS
Secondary database models			Graph DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 1.25 Rank #170   Overall #77   Relational DBMS		Score 0.09 Rank #360   Overall #18   Object oriented DBMS	Score 0.11 Rank #354   Overall #37   Graph DBMS #16   Object oriented DBMS
Website	kylin.apache.org	atos.net/en/convergence-creators/portfolio/standard-common-repository	newdatabase.com	velocitydb.com
Technical documentation	kylin.apache.org/­docs		dev.mobiland.com/­Overview.xsp	velocitydb.com/­UserGuide
Developer	Apache Software Foundation, originally contributed from eBay Inc	Atos Convergence Creators	Mobiland AG	VelocityDB Inc
Initial release	2015	2016	2018	2011
Current release	3.1.0, July 2020	1703	1.1.263, October 2022	7.x
License Commercial or Open Source	Open Source Apache Version 2.0	commercial	commercial	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#
Server operating systems	Linux	Linux	Windows	Any that supports .NET
Data scheme	yes	Schema and schema-less with LDAP views	Classes, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)	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	no
Secondary indexes	yes	yes	no	yes
SQL Support of SQL	ANSI SQL for queries (using Apache Calcite)	no	no	no
APIs and other access methods	JDBC ODBC RESTful HTTP API	LDAP	.NET Client API Proprietary client DLL WinRT client	.Net
Supported programming languages		All languages with LDAP bindings	.Net C C# C++ VB.Net	.Net
Server-side scripts Stored procedures		no		no
Triggers		yes	no, except callback-events from server when changes happened	Callbacks are triggered when data changes
Partitioning methods Methods for storing different data on different nodes		Sharding cell division	Proprietary Sharding system	Sharding
Replication methods Methods for redundantly storing data on multiple nodes		yes
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	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity		no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data		Atomic execution of specific operations	ACID	ACID
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.	no	yes	no	yes
User concepts Access control		LDAP bind authentication	Windows-Profile	Based on Windows Authentication
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More resources
	Apache Kylin	Atos Standard Common Repository	DataFS	VelocityDB
Recent citations in the news	Migrating from ClickHouse to Apache Doris: Boosting OLAP Performance 9 October 2023, hackernoon.com Introducing Kyligence Copilot: The AI Copilot for Data to Excel Your KPIs 23 August 2023, insideBIGDATA Overhauling Apache Kylin for the cloud 18 November 2021, InfoWorld eBay's Kylin Becomes a Top-Level Apache Open Source Project 9 December 2015, eBay Inc. How Kyligence Cloud uses Amazon EMR Serverless to simplify OLAP | Amazon Web Services 9 November 2022, AWS Blog provided by Google News

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