DBMS > Atos Standard Common Repository vs. Bangdb vs. searchxml vs. VictoriaMetrics

System Properties Comparison Atos Standard Common Repository vs. Bangdb vs. searchxml vs. VictoriaMetrics

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Bangdb  Xexclude from comparison	searchxml  Xexclude from comparison	VictoriaMetrics  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	Converged and high performance database for device data, events, time series, document and graph	DBMS for structured and unstructured content wrapped with an application server	A fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database model	Document store Key-value store	Document store Graph DBMS Time Series DBMS	Native XML DBMS Search engine	Time Series DBMS
Secondary database models		Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.16 Rank #338   Overall #47   Document stores #32   Graph DBMS #31   Time Series DBMS	Score 0.03 Rank #390   Overall #7   Native XML DBMS #24   Search engines	Score 1.23 Rank #172   Overall #15   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	bangdb.com	www.searchxml.net/­category/­products	victoriametrics.com
Technical documentation		docs.bangdb.com	www.searchxml.net/­support/­handouts	docs.victoriametrics.com github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
Developer	Atos Convergence Creators	Sachin Sinha, BangDB	informationpartners gmbh	VictoriaMetrics
Initial release	2016	2012	2015	2018
Current release	1703	BangDB 2.0, October 2021	1.0	v1.91, May 2023
License Commercial or Open Source	commercial	Open Source BSD 3	commercial	Open Source Apache Version 2.0
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, C++	C++	Go
Server operating systems	Linux	Linux	Windows	FreeBSD Linux macOS OpenBSD
Data scheme	Schema and schema-less with LDAP views	schema-free	schema-free
Typing predefined data types such as float or date	optional	yes: string, long, double, int, geospatial, stream, events	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	yes	no
Secondary indexes	yes	yes secondary, composite, nested, reverse, geospatial	yes
SQL Support of SQL	no	SQL like support with command line tool	no	no
APIs and other access methods	LDAP	Proprietary protocol RESTful HTTP API	RESTful HTTP API WebDAV XQuery XSLT	Graphite protocol InfluxDB Line Protocol OpenTSDB Prometheus Query API Prometheus Remote Read/Write
Supported programming languages	All languages with LDAP bindings	C C# C++ Java Python	C++ most other programming languages supported via APIs
Server-side scripts Stored procedures	no	no	yes on the application server	no
Triggers	yes	yes, Notifications (with Streaming only)	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor, Knob for CAP (enterprise version only)	yes sychronisation to multiple collections	Synchronous replication
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	Tunable consistency, set CAP knob accordingly	Immediate Consistency	Eventual 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	multiple readers, single writer	no
Concurrency Support for concurrent manipulation of data	yes	yes, optimistic concurrency control	yes	yes
Durability Support for making data persistent	yes	yes, implements WAL (Write ahead log) as well	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes, run db with in-memory only mode	no	no
User concepts Access control	LDAP bind authentication	yes (enterprise version only)	Domain, group and role-based access control at the document level and for application services
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More resources
	Atos Standard Common Repository	Bangdb	searchxml	VictoriaMetrics
Recent citations in the news				VictoriaMetrics Slashes Data Storage Bills by 90% With World's Most Cost-Efficient Monitoring 30 May 2024, Business Wire OpenTelemetry Is Too Complicated, VictoriaMetrics Says 1 April 2024, Datanami KubeCon24: VictoriaMetrics' Simpler Alternative to Prometheus 20 March 2024, The New Stack Green coding - VictoriaMetrics: The efficiency vs complexity trade-off 15 May 2024, ComputerWeekly.com How VictoriaMetrics' open source approach led to mass industry adoption 3 May 2024, Tech.eu provided by Google News

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