DBMS > Atos Standard Common Repository vs. HugeGraph vs. Postgres-XL vs. Sadas Engine

System Properties Comparison Atos Standard Common Repository vs. HugeGraph vs. Postgres-XL vs. Sadas Engine

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	HugeGraph  Xexclude from comparison	Postgres-XL  Xexclude from comparison	Sadas Engine  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	A fast-speed and highly-scalable Graph DBMS	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database model	Document store Key-value store	Graph DBMS	Relational DBMS	Relational DBMS
Secondary database models			Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.17 Rank #335   Overall #31   Graph DBMS	Score 0.53 Rank #254   Overall #117   Relational DBMS	Score 0.07 Rank #373   Overall #157   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­hugegraph hugegraph.apache.org	www.postgres-xl.org	www.sadasengine.com
Technical documentation		hugegraph.apache.org/­docs	www.postgres-xl.org/­documentation	www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
Developer	Atos Convergence Creators	Baidu		SADAS s.r.l.
Initial release	2016	2018	2014 since 2012, originally named StormDB	2006
Current release	1703	0.9	10 R1, October 2018	8.0
License Commercial or Open Source	commercial	Open Source Apache Version 2.0	Open Source Mozilla public license	commercial free trial 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	Java	C	C++
Server operating systems	Linux	Linux macOS Unix	Linux macOS	AIX Linux 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	no	yes XML type, but no XML query functionality	no
Secondary indexes	yes	yes also supports composite index and range index	yes	yes
SQL Support of SQL	no	no	yes distributed, parallel query execution	yes
APIs and other access methods	LDAP	Java API RESTful HTTP API TinkerPop Gremlin	ADO.NET JDBC native C library ODBC streaming API for large objects	JDBC ODBC Proprietary protocol
Supported programming languages	All languages with LDAP bindings	Groovy Java Python	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl	.Net C C# C++ Groovy Java PHP Python
Server-side scripts Stored procedures	no	asynchronous Gremlin script jobs	user defined functions	no
Triggers	yes	no	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	yes depending on used storage backend, e.g. Cassandra and HBase	horizontal partitioning	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes depending on used storage backend, e.g. Cassandra and HBase		none
MapReduce Offers an API for user-defined Map/Reduce methods		via hugegraph-spark	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	yes edges in graph	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	ACID MVCC
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	yes	no	yes managed by 'Learn by Usage'
User concepts Access control	LDAP bind authentication	Users, roles and permissions	fine grained access rights according to SQL-standard	Access rights for users, groups and roles according to SQL-standard
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More resources
	Atos Standard Common Repository	HugeGraph	Postgres-XL	Sadas Engine
Recent citations in the news		POC exploit code published for 9.8-rated Apache HugeGraph RCE flaw 7 June 2024, The Register Critical Apache HugeGraph Flaw Let Attackers Execute Remote Code 23 April 2024, GBHackers PoC Exploit Released for High Severity Apache HugeGraph RCE flaw 7 June 2024, CybersecurityNews AI, Lockbit, Veeam, Club Penguin, Kali, Commando Cat, HugeGraph, Aaran Leyland… – SWN #391 7 June 2024, SC Media Top 5 CVEs and Vulnerabilities of May 2024 3 June 2024, Security Boulevard provided by Google News

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