DBMS > Atos Standard Common Repository vs. Lovefield vs. Oracle Rdb vs. Splice Machine

System Properties Comparison Atos Standard Common Repository vs. Lovefield vs. Oracle Rdb vs. Splice Machine

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Lovefield  Xexclude from comparison	Oracle Rdb  Xexclude from comparison	Splice Machine  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	Embeddable relational database for web apps written in pure JavaScript		Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database model	Document store Key-value store	Relational DBMS	Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.33 Rank #286   Overall #131   Relational DBMS	Score 1.14 Rank #178   Overall #80   Relational DBMS	Score 0.54 Rank #252   Overall #115   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	google.github.io/­lovefield	www.oracle.com/­database/­technologies/­related/­rdb.html	splicemachine.com
Technical documentation		github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md	www.oracle.com/­database/­technologies/­related/­rdb-doc.html	splicemachine.com/­how-it-works
Developer	Atos Convergence Creators	Google	Oracle, originally developed by Digital Equipment Corporation (DEC)	Splice Machine
Initial release	2016	2014	1984	2014
Current release	1703	2.1.12, February 2017	7.4.1.1, 2021	3.1, March 2021
License Commercial or Open Source	commercial	Open Source Apache 2.0	commercial	Open Source AGPL 3.0, 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	JavaScript		Java
Server operating systems	Linux	server-less, requires a JavaScript environment (browser, Node.js) tested with Chrome, Firefox, IE, Safari	HP Open VMS	Linux OS X Solaris Windows
Data scheme	Schema and schema-less with LDAP views	yes	Flexible Schema (defined schema, partial schema, schema free)	yes
Typing predefined data types such as float or date	optional	yes	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	no	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	SQL-like query language via JavaScript builder pattern	yes	yes
APIs and other access methods	LDAP			JDBC Native Spark Datasource ODBC
Supported programming languages	All languages with LDAP bindings	JavaScript		C# C++ Java JavaScript (Node.js) Python R Scala
Server-side scripts Stored procedures	no	no		yes Java
Triggers	yes	Using read-only observers		yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none		Shared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	none		Multi-source replication Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	Yes, via Full Spark Integration
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration		Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	yes	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	yes, on a single node	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes, multi-version concurrency control (MVCC)
Durability Support for making data persistent	yes	yes, by using IndexedDB or the cloud service Firebase Realtime Database	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes using MemoryDB	no	yes
User concepts Access control	LDAP bind authentication	no		Access rights for users, groups and roles according to SQL-standard
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More resources
	Atos Standard Common Repository	Lovefield	Oracle Rdb	Splice Machine
Recent citations in the news			Oracle Adds New AI-Enabling Features To MySQL HeatWave 23 March 2023, Forbes Should we all consolidate databases for the storage benefits? Reg vultures deploy DevOps, zoos, haircuts 18 September 2020, The Register 2013 Data Science Salary Survey 4 May 2013, oreilly.com provided by Google News	Machine learning data pipeline outfit Splice Machine files for insolvency 26 August 2021, The Register Splice Machine Launches the Splice Machine Feature Store to Simplify Feature Engineering and Democratize Machine ... 19 January 2021, PR Newswire Distributed SQL System Review: Snowflake vs Splice Machine 18 September 2019, Towards Data Science Splice Machine Launches Feature Store to Simplify Feature Engineering 19 January 2021, Datanami Splice Machine scores $15M to make Hadoop run in real time 10 February 2014, VentureBeat provided by Google News

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