DBMS > Atos Standard Common Repository vs. IBM Db2 warehouse vs. Newts vs. XTDB

System Properties Comparison Atos Standard Common Repository vs. IBM Db2 warehouse vs. Newts vs. XTDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	IBM Db2 warehouse formerly named IBM dashDB  Xexclude from comparison	Newts  Xexclude from comparison	XTDB formerly named Crux  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	Cloud-based data warehousing service	Time Series DBMS based on Cassandra	A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database model	Document store Key-value store	Relational DBMS	Time Series DBMS	Document store
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 1.37 Rank #160   Overall #74   Relational DBMS	Score 0.07 Rank #375   Overall #41   Time Series DBMS	Score 0.18 Rank #332   Overall #46   Document stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.ibm.com/­products/­db2/­warehouse	opennms.github.io/­newts	github.com/­xtdb/­xtdb www.xtdb.com
Technical documentation			github.com/­OpenNMS/­newts/­wiki	www.xtdb.com/­docs
Developer	Atos Convergence Creators	IBM	OpenNMS Group	Juxt Ltd.
Initial release	2016	2014	2014	2019
Current release	1703			1.19, September 2021
License Commercial or Open Source	commercial	commercial	Open Source Apache 2.0	Open Source MIT License
Cloud-based only Only available as a cloud service	no	yes	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java		Java	Clojure
Server operating systems	Linux	hosted	Linux OS X Windows	All OS with a Java 8 (and higher) VM Linux
Data scheme	Schema and schema-less with LDAP views	yes	schema-free	schema-free
Typing predefined data types such as float or date	optional	yes	yes	yes, extensible-data-notation format
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 Import/export of XML data possible	no	no
Secondary indexes	yes	yes	no	yes
SQL Support of SQL	no	yes	no	limited SQL, making use of Apache Calcite
APIs and other access methods	LDAP	.NET Client API JDBC ODBC OLE DB	HTTP REST Java API	HTTP REST JDBC
Supported programming languages	All languages with LDAP bindings	Java JavaScript (Node.js) Perl PHP Python R Ruby	Java	Clojure Java
Server-side scripts Stored procedures	no	PL/SQL, SQL PL	no	no
Triggers	yes	yes	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	Sharding based on Cassandra	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes	selectable replication factor based on Cassandra	yes, each node contains all data
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra
Foreign keys Referential integrity	no	yes	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
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	fine grained access rights according to SQL-standard	no
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More resources
	Atos Standard Common Repository	IBM Db2 warehouse formerly named IBM dashDB	Newts	XTDB formerly named Crux
Recent citations in the news		Announcing the deprecation of prior generation Db2 Warehouse plans on AWS 16 October 2023, ibm.com Introducing the next generation of Db2 Warehouse: Our cost-effective, cloud-native data warehouse built for always-on ... 11 July 2023, ibm.com Data Mining in Db2 Warehouse: the basics 23 June 2020, Towards Data Science Db2 Warehouse delivers 4x faster query performance than previously, while cutting storage costs by 34x 11 July 2023, ibm.com Top 7 Cloud Data Warehouse Companies 31 May 2023, Datamation provided by Google News

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