DBMS > Amazon Neptune vs. Atos Standard Common Repository vs. BigObject vs. Yaacomo

System Properties Comparison Amazon Neptune vs. Atos Standard Common Repository vs. BigObject vs. Yaacomo

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Editorial information provided by DB-Engines
Name	Amazon Neptune  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	BigObject  Xexclude from comparison	Yaacomo  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.		Yaacomo seems to be discontinued and is removed from the DB-Engines 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	Analytic DBMS for real-time computations and queries	OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database model	Graph DBMS RDF store	Document store Key-value store	Relational DBMS a hierachical model (tree) can be imposed	Relational DBMS
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 0.19 Rank #329   Overall #146   Relational DBMS
Website	aws.amazon.com/­neptune	atos.net/en/convergence-creators/portfolio/standard-common-repository	bigobject.io	yaacomo.com
Technical documentation	aws.amazon.com/­neptune/­developer-resources		docs.bigobject.io
Developer	Amazon	Atos Convergence Creators	BigObject, Inc.	Q2WEB GmbH
Initial release	2017	2016	2015	2009
Current release		1703
License Commercial or Open Source	commercial	commercial	commercial free community edition available	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
Server operating systems	hosted	Linux	Linux distributed as a docker-image OS X distributed as a docker-image (boot2docker) Windows distributed as a docker-image (boot2docker)	Android Linux Windows
Data scheme	schema-free	Schema and schema-less with LDAP views	yes	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	no
Secondary indexes	no	yes	yes	yes
SQL Support of SQL	no	no	SQL-like DML and DDL statements	yes
APIs and other access methods	OpenCypher RDF 1.1 / SPARQL 1.1 TinkerPop Gremlin	LDAP	fluentd ODBC RESTful HTTP API	JDBC ODBC
Supported programming languages	C# Go Java JavaScript PHP Python Ruby Scala	All languages with LDAP bindings
Server-side scripts Stored procedures	no	no	Lua
Triggers	no	yes	no	yes
Partitioning methods Methods for storing different data on different nodes	none	Sharding cell division	none	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	none	Source-replica 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	Immediate Consistency or Eventual Consistency depending on configuration	none	Immediate Consistency
Foreign keys Referential integrity	yes Relationships in graphs	no	yes automatically between fact table and dimension tables	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 Read/write lock on objects (tables, trees)	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	yes	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	fine grained access rights according to SQL-standard
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More resources
	Amazon Neptune	Atos Standard Common Repository	BigObject	Yaacomo
Recent citations in the news	Unit testing Apache TinkerPop transactions: From TinkerGraph to Amazon Neptune | Amazon Web Services 3 June 2024, AWS Blog AWS Weekly Roundup: LlamaIndex support for Amazon Neptune, force AWS CloudFormation stack deletion, and more ... 27 May 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 Analyze large amounts of graph data to get insights and find trends with Amazon Neptune Analytics | Amazon Web ... 29 November 2023, AWS Blog provided by Google News	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News

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