DBMS > Alibaba Cloud Table Store vs. Amazon Neptune vs. Atos Standard Common Repository vs. EJDB

System Properties Comparison Alibaba Cloud Table Store vs. Amazon Neptune vs. Atos Standard Common Repository vs. EJDB

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Editorial information provided by DB-Engines
Name	Alibaba Cloud Table Store  Xexclude from comparison	Amazon Neptune  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	EJDB  Xexclude from comparison
			This system has been discontinued and will be removed from the DB-Engines ranking.
Description	A fully managed Wide Column Store for large quantities of semi-structured data with real-time access	Fast, reliable graph database built for the cloud	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Embeddable document-store database library with JSON representation of queries (in MongoDB style)
Primary database model	Wide column store	Graph DBMS RDF store	Document store Key-value store	Document store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.31 Rank #297   Overall #11   Wide column stores	Score 2.29 Rank #113   Overall #9   Graph DBMS #5   RDF stores		Score 0.31 Rank #296   Overall #44   Document stores
Website	www.alibabacloud.com/­product/­table-store	aws.amazon.com/­neptune	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­Softmotions/­ejdb
Technical documentation	www.alibabacloud.com/­help/­en/­tablestore	aws.amazon.com/­neptune/­developer-resources		github.com/­Softmotions/­ejdb/­blob/­master/­README.md
Developer	Alibaba	Amazon	Atos Convergence Creators	Softmotions
Initial release	2016	2017	2016	2012
Current release			1703
License Commercial or Open Source	commercial	commercial	commercial	Open Source GPLv2
Cloud-based only Only available as a cloud service	yes	yes	no	no
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Implementation language			Java	C
Server operating systems	hosted	hosted	Linux	server-less
Data scheme	schema-free	schema-free	Schema and schema-less with LDAP views	schema-free
Typing predefined data types such as float or date	yes	yes	optional	yes string, integer, double, bool, date, object_id
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	no	yes
Secondary indexes	no	no	yes	no
SQL Support of SQL	no	no	no	no
APIs and other access methods	HTTP API	OpenCypher RDF 1.1 / SPARQL 1.1 TinkerPop Gremlin	LDAP	in-process shared library
Supported programming languages	Java Python	C# Go Java JavaScript PHP Python Ruby Scala	All languages with LDAP bindings	Actionscript C C# C++ Go Java JavaScript (Node.js) Lua Objective-C Pike Python Ruby
Server-side scripts Stored procedures	no	no	no	no
Triggers	no	no	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	none	Sharding cell division	none
Replication methods Methods for redundantly storing data on multiple nodes	yes Implicit feature of the cloud service	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
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	Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys Referential integrity	no	yes Relationships in graphs	no	no typically not needed, however similar functionality with collection joins possible
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic single-row operations	ACID	Atomic execution of specific operations	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes Read/Write Locking
Durability Support for making data persistent	yes	yes with encyption-at-rest	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no		yes
User concepts Access control	Access rights based on subaccounts and tokens	Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)	LDAP bind authentication	no
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More resources
	Alibaba Cloud Table Store	Amazon Neptune	Atos Standard Common Repository	EJDB
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