DBMS > Amazon Neptune vs. Atos Standard Common Repository vs. FatDB vs. SAP Adaptive Server

System Properties Comparison Amazon Neptune vs. Atos Standard Common Repository vs. FatDB vs. SAP Adaptive Server

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Editorial information provided by DB-Engines
Name	Amazon Neptune  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	FatDB  Xexclude from comparison	SAP Adaptive Server former name: Sybase ASE  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	Fast, reliable graph database built for the cloud	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	A .NET NoSQL DBMS that can integrate with and extend SQL Server.	The SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMS
Primary database model	Graph DBMS RDF store	Document store Key-value store	Document store Key-value store	Relational DBMS
Secondary database models				Spatial DBMS with Boeing's Spatial Query Server
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 2.29 Rank #113   Overall #9   Graph DBMS #5   RDF stores			Score 35.09 Rank #25   Overall #17   Relational DBMS
Website	aws.amazon.com/­neptune	atos.net/en/convergence-creators/portfolio/standard-common-repository		www.sap.com/­products/­technology-platform/­sybase-ase.html
Technical documentation	aws.amazon.com/­neptune/­developer-resources			help.sap.com/­docs/­SAP_ASE
Developer	Amazon	Atos Convergence Creators	FatCloud	SAP, Sybase
Initial release	2017	2016	2012	1987
Current release		1703		16.0
License Commercial or Open Source	commercial	commercial	commercial	commercial
Cloud-based only Only available as a cloud service	yes	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 and C++
Server operating systems	hosted	Linux	Windows	AIX HP-UX Linux Solaris Unix Windows
Data scheme	schema-free	Schema and schema-less with LDAP views	schema-free	yes
Typing predefined data types such as float or date	yes	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.	no	yes		no
Secondary indexes	no	yes	yes	yes
SQL Support of SQL	no	no	no Via inetgration in SQL Server	yes
APIs and other access methods	OpenCypher RDF 1.1 / SPARQL 1.1 TinkerPop Gremlin	LDAP	.NET Client API LINQ RESTful HTTP API RPC Windows WCF Bindings	ADO.NET JDBC ODBC OLE DB Tabular Data Stream (TDS)
Supported programming languages	C# Go Java JavaScript PHP Python Ruby Scala	All languages with LDAP bindings	C#	C C++ Cobol Java Java Perl PHP Python
Server-side scripts Stored procedures	no	no	yes via applications	Java and Transact-SQL
Triggers	no	yes	yes via applications	yes
Partitioning methods Methods for storing different data on different nodes	none	Sharding cell division	Sharding	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	Multi-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.	yes	selectable replication factor	Multi-source replication Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no		yes	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	yes Relationships in graphs	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	Atomic execution of specific operations	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes with encyption-at-rest	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		yes
User concepts Access control	Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)	LDAP bind authentication	no Can implement custom security layer via applications	fine grained access rights according to SQL-standard
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More resources
	Amazon Neptune	Atos Standard Common Repository	FatDB	SAP Adaptive Server former name: Sybase ASE
Recent citations in the news	Exploring new features of Apache TinkerPop 3.7.x in Amazon Neptune | Amazon Web Services 7 June 2024, AWS Blog Building NHM London's Planetary Knowledge Base with Amazon Neptune and the Registry of Open Data on AWS ... 5 June 2024, AWS Blog Unit testing Apache TinkerPop transactions: From TinkerGraph to Amazon Neptune | Amazon Web Services 3 June 2024, AWS Blog AWS announces Amazon Neptune I/O-Optimized 22 February 2024, AWS Blog Amazon Neptune Analytics is now available in the AWS Europe (London) Region 14 March 2024, AWS Blog provided by Google News			Achieve zero RPO for your SAP ASE (Sybase) databases with Amazon FSx for NetApp ONTAP | Amazon Web Services 7 May 2024, AWS Blog New Services for SAP HANA Cloud Database 7 April 2021, SAP News Patch SAP Adaptive Server Enterprise now to avoid takeover risk 3 June 2020, BleepingComputer AWS Launch Wizard is now available in Melbourne, Spain, and Zurich Regions 26 January 2024, AWS Blog Newly Patched SAP ASE Flaws Could Let Attackers Hack Database Servers 3 June 2020, The Hacker News provided by Google News

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