DBMS > Atos Standard Common Repository vs. Drizzle vs. EDB Postgres vs. Machbase Neo

System Properties Comparison Atos Standard Common Repository vs. Drizzle vs. EDB Postgres vs. Machbase Neo

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Drizzle  Xexclude from comparison	EDB Postgres  Xexclude from comparison	Machbase Neo Former name was Infiniflux  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.	Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.	The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.	TimeSeries DBMS for AIoT and BigData
Primary database model	Document store Key-value store	Relational DBMS	Relational DBMS	Time Series DBMS
Secondary database models			Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart			Score 1.91 Rank #130   Overall #60   Relational DBMS	Score 0.17 Rank #337   Overall #30   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository		www.enterprisedb.com	machbase.com
Technical documentation			www.enterprisedb.com/­docs	machbase.com/­dbms
Developer	Atos Convergence Creators	Drizzle project, originally started by Brian Aker	EnterpriseDB	Machbase
Initial release	2016	2008	2005	2013
Current release	1703	7.2.4, September 2012	14, December 2021	V8.0, August 2023
License Commercial or Open Source	commercial	Open Source GNU GPL	commercial BSD for PostgreSQL-components	commercial free test version available
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
Server operating systems	Linux	FreeBSD Linux OS X	Linux Windows	Linux macOS Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes	yes
Typing predefined data types such as float or date	optional	yes	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 specific XML-type available, but no XML query functionality.	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	yes with proprietary extensions	yes standard with numerous extensions	SQL-like query language
APIs and other access methods	LDAP	JDBC	ADO.NET JDBC native C library ODBC streaming API for large objects	gRPC HTTP REST JDBC MQTT (Message Queue Telemetry Transport) ODBC
Supported programming languages	All languages with LDAP bindings	C C++ Java PHP	.Net C C++ Delphi Java Perl PHP Python Tcl	C C# C++ Go Java JavaScript PHP via ODBC Python R via ODBC Scala
Server-side scripts Stored procedures	no	no	user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.	no
Triggers	yes	no hooks for callbacks inside the server can be used.	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	horizontal partitioning by hash, list or range	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	Multi-source replication Source-replica replication	Multi-source replication	selectable replication factor
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
Foreign keys Referential integrity	no	yes	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	ACID	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes, multi-version concurrency control (MVCC)	yes
Durability Support for making data persistent	yes	yes	yes	no
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes		no	yes volatile and lookup table
User concepts Access control	LDAP bind authentication	Pluggable authentication mechanisms e.g. LDAP, HTTP	fine grained access rights according to SQL-standard	simple password-based access control
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More resources
	Atos Standard Common Repository	Drizzle	EDB Postgres	Machbase Neo Former name was Infiniflux
DB-Engines blog posts		MySQL won the April ranking; did its forks follow? 1 April 2015, Paul Andlinger Has MySQL finally lost its mojo? 1 July 2013, Matthias Gelbmann show all
Recent citations in the news			EDB unveils EDB Postgres AI 23 May 2024, InfoWorld EDB Puts Postgres in the Middle of Analytics Workflow with New Lakehouse Stack 22 April 2024, Datanami EDB Announces EDB Postgres® AI, an Intelligent Platform for Transactional, Analytical and AI Workloads 23 May 2024, Yahoo Finance Nutanix partners with EDB to fit database service for AI – Blocks and Files 21 May 2024, Blocks & Files Enterprise DB begins rolling AI features into PostgreSQL 23 May 2024, SiliconANGLE News provided by Google News

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