DBMS > Atos Standard Common Repository vs. Fujitsu Enterprise Postgres vs. searchxml vs. VictoriaMetrics

System Properties Comparison Atos Standard Common Repository vs. Fujitsu Enterprise Postgres vs. searchxml vs. VictoriaMetrics

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Fujitsu Enterprise Postgres  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	Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.	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	Relational DBMS	Native XML DBMS Search engine	Time Series DBMS
Secondary database models		Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.37 Rank #278   Overall #128   Relational 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	www.postgresql.fastware.com	www.searchxml.net/­category/­products	victoriametrics.com
Technical documentation		www.postgresql.fastware.com/­product-manuals	www.searchxml.net/­support/­handouts	docs.victoriametrics.com github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
Developer	Atos Convergence Creators	PostgreSQL Global Development Group, Fujitsu Australia Software Technology	informationpartners gmbh	VictoriaMetrics
Initial release	2016		2015	2018
Current release	1703	Fujitsu Enterprise Postgres 14, January 2022	1.0	v1.91, May 2023
License Commercial or Open Source	commercial	commercial	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++	Go
Server operating systems	Linux	Linux Windows	Windows	FreeBSD Linux macOS OpenBSD
Data scheme	Schema and schema-less with LDAP views	yes	schema-free
Typing predefined data types such as float or date	optional	yes	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		yes	no
Secondary indexes	yes	yes	yes
SQL Support of SQL	no	yes	no	no
APIs and other access methods	LDAP	ADO.NET JDBC native C library ODBC streaming API for large objects	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	.Net C C++ Delphi Java JavaScript (Node.js) Perl PHP Python Tcl	C++ most other programming languages supported via APIs
Server-side scripts Stored procedures	no	user defined functions	yes on the application server	no
Triggers	yes	yes	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	partitioning by range, list and by hash	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	Source-replica replication	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	Immediate Consistency	Immediate Consistency	Eventual Consistency
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	multiple readers, single writer	no
Concurrency Support for concurrent manipulation of data	yes	yes, multi-version concurrency control (MVCC)	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	fine grained access rights according to SQL-standard	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	Fujitsu Enterprise Postgres	searchxml	VictoriaMetrics
Recent citations in the news		Fujitsu Develops Column-Oriented Data-Processing Engine Enabling Fast, High-Volume Data Analysis in Database ... 26 February 2015, Fujitsu Expert Insight 202009 KAC 4 September 2023, Fujitsu Fujitsu recognized as winner of 2023 Microsoft Japan Healthcare & Life Sciences Partner of the Year Award for its ... 28 June 2023, Fujitsu Primary Data says stop, Hammerspace, Innodisk cooks some SSDs, and Fujitsu goes blockchain 22 May 2018, The Register DCPMM 1 August 2020, Fujitsu 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, Yahoo Finance How VictoriaMetrics' open source approach led to mass industry adoption 3 May 2024, Tech.eu VictoriaMetrics takes organic growth over investor pressure 11 December 2023, The Register provided by Google News

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