DBMS > Amazon Neptune vs. Atos Standard Common Repository vs. LeanXcale vs. SpatiaLite

System Properties Comparison Amazon Neptune vs. Atos Standard Common Repository vs. LeanXcale vs. SpatiaLite

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Amazon Neptune  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	LeanXcale  Xexclude from comparison	SpatiaLite  Xexclude from comparison
		This system has been discontinued and will be 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	A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities	Spatial extension of SQLite
Primary database model	Graph DBMS RDF store	Document store Key-value store	Key-value store Relational DBMS	Spatial DBMS
Secondary database models				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 0.36 Rank #280   Overall #40   Key-value stores #129   Relational DBMS	Score 1.63 Rank #146   Overall #3   Spatial DBMS
Website	aws.amazon.com/­neptune	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.leanxcale.com	www.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentation	aws.amazon.com/­neptune/­developer-resources			www.gaia-gis.it/­gaia-sins/­spatialite_topics.html
Developer	Amazon	Atos Convergence Creators	LeanXcale	Alessandro Furieri
Initial release	2017	2016	2015	2008
Current release		1703		5.0.0, August 2020
License Commercial or Open Source	commercial	commercial	commercial	Open Source MPL 1.1, GPL v2.0 or LGPL v2.1
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++
Server operating systems	hosted	Linux		server-less
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
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
SQL Support of SQL	no	no	yes through Apache Derby	yes
APIs and other access methods	OpenCypher RDF 1.1 / SPARQL 1.1 TinkerPop Gremlin	LDAP	JDBC Kafka Connector ODBC proprietary key/value interface Spark Connector
Supported programming languages	C# Go Java JavaScript PHP Python Ruby Scala	All languages with LDAP bindings	C Java Scala
Server-side scripts Stored procedures	no	no		no
Triggers	no	yes		yes
Partitioning methods Methods for storing different data on different nodes	none	Sharding cell division		none
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
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	Immediate Consistency
Foreign keys Referential integrity	yes Relationships in graphs	no	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	Atomic execution of specific operations	ACID	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	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
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Amazon Neptune	Atos Standard Common Repository	LeanXcale	SpatiaLite
DB-Engines blog posts				Spatial database management systems 6 April 2021, Matthias Gelbmann show all
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

Share this page