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DBMS > Amazon Neptune vs. EJDB vs. Elasticsearch vs. MarkLogic vs. SpatiaLite

System Properties Comparison Amazon Neptune vs. EJDB vs. Elasticsearch vs. MarkLogic vs. SpatiaLite

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonEJDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonMarkLogic  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricOperational and transactional Enterprise NoSQL databaseSpatial extension of SQLite
Primary database modelGraph DBMS
RDF store
Document storeSearch engineDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Spatial DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.13
Rank#331  Overall
#46  Document stores
Score128.79
Rank#8  Overall
#1  Search engines
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Score1.56
Rank#142  Overall
#3  Spatial DBMS
Websiteaws.amazon.com/­neptunegithub.com/­Softmotions/­ejdbwww.elastic.co/­elasticsearchwww.progress.com/­marklogicwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationaws.amazon.com/­neptune/­developer-resourcesgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.progress.com/­marklogic/­documentationwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperAmazonSoftmotionsElasticMarkLogic Corp.Alessandro Furieri
Initial release20172012201020012008
Current release8.6, January 202311.0, December 20225.0.0, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2Open Source infoElastic Licensecommercial inforestricted free version is availableOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++C++
Server operating systemshostedserver-lessAll OS with a Java VMLinux
OS X
Windows
server-less
Data schemeschema-freeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyesno
Secondary indexesnonoyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLnonoSQL-like query languageyes infoSQL92yes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
in-process shared libraryJava API
RESTful HTTP/JSON API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyesyes infovia XQuery or JavaScriptno
Triggersnonoyes infoby using the 'percolation' featureyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-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.noneyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connectoryes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsno infotypically not needed, however similar functionality with collection joins possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyes, with Range Indexesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noRole-based access control at the document and subdocument levelsno

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More resources
Amazon NeptuneEJDBElasticsearchMarkLogicSpatiaLite
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Progress MarkLogic World
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