DBMS > Atos Standard Common Repository vs. Axibase vs. Cloudflare Workers KV vs. InfinityDB

System Properties Comparison Atos Standard Common Repository vs. Axibase vs. Cloudflare Workers KV vs. InfinityDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Axibase  Xexclude from comparison	Cloudflare Workers KV  Xexclude from comparison	InfinityDB  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	Scalable TimeSeries DBMS based on HBase with integrated rule engine and visualization	A global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.	A Java embedded Key-Value Store which extends the Java Map interface
Primary database model	Document store Key-value store	Time Series DBMS	Key-value store	Key-value store
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.35 Rank #282   Overall #25   Time Series DBMS	Score 0.39 Rank #274   Overall #39   Key-value stores	Score 0.08 Rank #365   Overall #55   Key-value stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	axibase.com/­docs/­atsd/­finance	www.cloudflare.com/­developer-platform/­workers-kv	boilerbay.com
Technical documentation			developers.cloudflare.com/­kv/­api	boilerbay.com/­infinitydb/­manual
Developer	Atos Convergence Creators	Axibase Corporation	Cloudflare	Boiler Bay Inc.
Initial release	2016	2013	2018	2002
Current release	1703	15585		4.0
License Commercial or Open Source	commercial	commercial Community Edition (single node) is free, Enterprise Edition (distributed) is paid	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java		Java
Server operating systems	Linux	Linux	hosted	All OS with a Java VM
Data scheme	Schema and schema-less with LDAP views	yes	schema-free	yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing predefined data types such as float or date	optional	yes short, integer, long, float, double, decimal, string	no	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays
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	no
Secondary indexes	yes	no	no	no manual creation possible, using inversions based on multi-value capability
SQL Support of SQL	no	SQL-like query language	no	no
APIs and other access methods	LDAP	JDBC Proprietary protocol (Network API) RESTful HTTP API	HTTP REST Proprietary protocol	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languages	All languages with LDAP bindings	Go Java PHP Python R Ruby	C C++ Dart JavaScript Kotlin Python Rust Scala	Java
Server-side scripts Stored procedures	no	yes	no	no
Triggers	yes	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	Source-replica replication	yes	none
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 or Eventual Consistency depending on configuration		Eventual Consistency	Immediate Consistency READ-COMMITTED or SERIALIZED
Foreign keys Referential integrity	no	no	no	no manual creation possible, using inversions based on multi-value capability
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	no	ACID Optimistic locking for transactions; no isolation for bulk loads
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.	yes		no	no
User concepts Access control	LDAP bind authentication			no
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More resources
	Atos Standard Common Repository	Axibase	Cloudflare Workers KV	InfinityDB
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