DBMS > Atos Standard Common Repository vs. Oracle Berkeley DB vs. Splunk vs. VelocityDB

System Properties Comparison Atos Standard Common Repository vs. Oracle Berkeley DB vs. Splunk vs. VelocityDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Oracle Berkeley DB  Xexclude from comparison	Splunk  Xexclude from comparison	VelocityDB  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	Widely used in-process key-value store	Analytics Platform for Big Data	A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database model	Document store Key-value store	Key-value store supports sorted and unsorted key sets Native XML DBMS in the Oracle Berkeley DB XML version	Search engine	Graph DBMS Object oriented DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 2.01 Rank #126   Overall #21   Key-value stores #3   Native XML DBMS	Score 89.10 Rank #14   Overall #2   Search engines	Score 0.11 Rank #354   Overall #37   Graph DBMS #15   Object oriented DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.oracle.com/­database/­technologies/­related/­berkeleydb.html	www.splunk.com	velocitydb.com
Technical documentation		docs.oracle.com/­cd/­E17076_05/­html/­index.html	docs.splunk.com/­Documentation/­Splunk	velocitydb.com/­UserGuide
Developer	Atos Convergence Creators	Oracle originally developed by Sleepycat, which was acquired by Oracle	Splunk Inc.	VelocityDB Inc
Initial release	2016	1994	2003	2011
Current release	1703	18.1.40, May 2020		7.x
License Commercial or Open Source	commercial	Open Source commercial license available	commercial Limited free edition and free developer edition available	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	C, Java, C++ (depending on the Berkeley DB edition)		C#
Server operating systems	Linux	AIX Android FreeBSD iOS Linux OS X Solaris VxWorks Windows	Linux OS X Solaris Windows	Any that supports .NET
Data scheme	Schema and schema-less with LDAP views	schema-free	yes	yes
Typing predefined data types such as float or date	optional	no	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.	yes	yes only with the Berkeley DB XML edition	yes	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	yes SQL interfaced based on SQLite is available	no Splunk Search Processing Language for search commands	no
APIs and other access methods	LDAP		HTTP REST	.Net
Supported programming languages	All languages with LDAP bindings	.Net Figaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET others Third-party libraries to manipulate Berkeley DB files are available for many languages C C# C++ Java JavaScript (Node.js) 3rd party binding Perl Python Tcl	C# Java JavaScript PHP Python Ruby	.Net
Server-side scripts Stored procedures	no	no	yes	no
Triggers	yes	yes only for the SQL API	yes	Callbacks are triggered when data changes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	Sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	Source-replica replication	Multi-source replication
MapReduce Offers an API for user-defined Map/Reduce methods		no	yes	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	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	no A 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching	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	yes
User concepts Access control	LDAP bind authentication	no	Access rights for users and roles	Based on Windows Authentication
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More resources
	Atos Standard Common Repository	Oracle Berkeley DB	Splunk	VelocityDB
DB-Engines blog posts			Enterprise Search Engines almost double their popularity in the last 12 months 2 July 2014, Paul Andlinger show all
Recent citations in the news		Margo Seltzer Named ACM Athena Lecturer for Technical and Mentoring Contributions 26 April 2023, HPCwire ACM recognizes far-reaching technical achievements with special awards 26 May 2021, EurekAlert Margo I. Seltzer | Berkman Klein Center 18 August 2020, Berkman Klein Center Database Trends Report: SQL Beats NoSQL, MySQL Most Popular -- ADTmag 5 March 2019, ADT Magazine Oracle buys Sleepycat Software 14 February 2006, MarketWatch provided by Google News

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