DBMS > Atos Standard Common Repository vs. chDB vs. IBM Db2 Event Store vs. XTDB

System Properties Comparison Atos Standard Common Repository vs. chDB vs. IBM Db2 Event Store vs. XTDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	chDB  Xexclude from comparison	IBM Db2 Event Store  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	An embedded SQL OLAP Engine powered by ClickHouse	Distributed Event Store optimized for Internet of Things use cases	A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database model	Document store Key-value store	Relational DBMS	Event Store Time Series DBMS	Document store
Secondary database models		Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.07 Rank #376   Overall #158   Relational DBMS	Score 0.27 Rank #309   Overall #2   Event Stores #28   Time Series DBMS	Score 0.18 Rank #332   Overall #46   Document stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­chdb-io/­chdb	www.ibm.com/­products/­db2-event-store	github.com/­xtdb/­xtdb www.xtdb.com
Technical documentation		doc.chdb.io	www.ibm.com/­docs/­en/­db2-event-store	www.xtdb.com/­docs
Developer	Atos Convergence Creators		IBM	Juxt Ltd.
Initial release	2016	2023	2017	2019
Current release	1703		2.0	1.19, September 2021
License Commercial or Open Source	commercial	Open Source Apache Version 2.0	commercial free developer edition available	Open Source MIT License
Cloud-based only Only available as a cloud service	no	no	no	no
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Implementation language	Java		C and C++	Clojure
Server operating systems	Linux	server-less	Linux Linux, macOS, Windows for the developer addition	All OS with a Java 8 (and higher) VM Linux
Data scheme	Schema and schema-less with LDAP views		yes	schema-free
Typing predefined data types such as float or date	optional		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	no
Secondary indexes	yes		no	yes
SQL Support of SQL	no	Close to ANSI SQL (SQL/JSON + extensions)	yes through the embedded Spark runtime	limited SQL, making use of Apache Calcite
APIs and other access methods	LDAP		ADO.NET DB2 Connect JDBC ODBC RESTful HTTP API	HTTP REST JDBC
Supported programming languages	All languages with LDAP bindings	Bun C C++ Go JavaScript (Node.js) Python Rust	C C# C++ Cobol Delphi Fortran Go Java JavaScript (Node.js) Perl PHP Python R Ruby Scala Visual Basic	Clojure Java
Server-side scripts Stored procedures	no		yes	no
Triggers	yes		no	no
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		Active-active shard replication	yes, each node contains all data
MapReduce Offers an API for user-defined Map/Reduce methods			no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration		Eventual Consistency
Foreign keys Referential integrity	no		no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations		no	ACID
Concurrency Support for concurrent manipulation of data	yes		No - written data is immutable	yes
Durability Support for making data persistent	yes		Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage	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
User concepts Access control	LDAP bind authentication		fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	chDB	IBM Db2 Event Store	XTDB formerly named Crux
Recent citations in the news			Advancements in streaming data storage, real-time analysis and machine learning 25 July 2019, ibm.com How IBM Is Turning Db2 into an ‘AI Database’ 3 June 2019, Datanami Best cloud databases of 2022 4 October 2022, ITPro Why a robust data management strategy is essential today | IBM HDM 19 September 2019, Express Computer provided by Google News

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