DBMS > Atos Standard Common Repository vs. EventStoreDB vs. FatDB vs. VictoriaMetrics

System Properties Comparison Atos Standard Common Repository vs. EventStoreDB vs. FatDB vs. VictoriaMetrics

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	EventStoreDB  Xexclude from comparison	FatDB  Xexclude from comparison	VictoriaMetrics  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.		FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Industrial-strength, open-source database solution built from the ground up for event sourcing.	A .NET NoSQL DBMS that can integrate with and extend SQL Server.	A fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database model	Document store Key-value store	Event Store	Document store Key-value store	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 1.19 Rank #173   Overall #1   Event Stores		Score 1.23 Rank #172   Overall #15   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.eventstore.com		victoriametrics.com
Technical documentation		developers.eventstore.com		docs.victoriametrics.com github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
Developer	Atos Convergence Creators	Event Store Limited	FatCloud	VictoriaMetrics
Initial release	2016	2012	2012	2018
Current release	1703	21.2, February 2021		v1.91, May 2023
License Commercial or Open Source	commercial	Open Source	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#	Go
Server operating systems	Linux	Linux Windows	Windows	FreeBSD Linux macOS OpenBSD
Data scheme	Schema and schema-less with LDAP views		schema-free
Typing predefined data types such as float or date	optional		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
Secondary indexes	yes		yes
SQL Support of SQL	no		no Via inetgration in SQL Server	no
APIs and other access methods	LDAP		.NET Client API LINQ RESTful HTTP API RPC Windows WCF Bindings	Graphite protocol InfluxDB Line Protocol OpenTSDB Prometheus Query API Prometheus Remote Read/Write
Supported programming languages	All languages with LDAP bindings		C#
Server-side scripts Stored procedures	no		yes via applications	no
Triggers	yes		yes via applications	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division		Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes		selectable replication factor	Synchronous replication
MapReduce Offers an API for user-defined Map/Reduce methods			yes	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration		Eventual Consistency Immediate Consistency	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	no
Concurrency Support for concurrent manipulation of data	yes		yes	yes
Durability Support for making data persistent	yes		yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes			no
User concepts Access control	LDAP bind authentication		no Can implement custom security layer via applications
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More resources
	Atos Standard Common Repository	EventStoreDB	FatDB	VictoriaMetrics
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News			OpenTelemetry Is Too Complicated, VictoriaMetrics Says 1 April 2024, Datanami KubeCon24: VictoriaMetrics' Simpler Alternative to Prometheus 20 March 2024, The New Stack VictoriaMetrics Slashes Data Storage Bills by 90% With World's Most Cost-Efficient Monitoring 30 May 2024, Business Wire Quarkus Java framework adds dev extensions for observability 4 June 2024, InfoWorld How VictoriaMetrics' open source approach led to mass industry adoption 3 May 2024, Tech.eu provided by Google News

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