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DBMS > Amazon Neptune vs. Datomic vs. Elasticsearch vs. MarkLogic

System Properties Comparison Amazon Neptune vs. Datomic vs. Elasticsearch vs. MarkLogic

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDatomic  Xexclude from comparisonElasticsearch  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA 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 database
Primary database modelGraph DBMS
RDF store
Relational DBMSSearch engineDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Websiteaws.amazon.com/­neptunewww.datomic.comwww.elastic.co/­elasticsearchwww.marklogic.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.datomic.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.marklogic.com
DeveloperAmazonCognitectElasticMarkLogic Corp.
Initial release2017201220102001
Current release1.0.6735, June 20238.6, January 202311.0, December 2022
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoElastic Licensecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC++
Server operating systemshostedAll OS with a Java VMAll OS with a Java VMLinux
OS X
Windows
Data schemeschema-freeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononoyes
Secondary indexesnoyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnonoSQL-like query languageyes infoSQL92
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIJava 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
Clojure
Java
.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 proceduresnoyes infoTransaction Functionsyesyes infovia XQuery or JavaScript
TriggersnoBy using transaction functionsyes infoby using the 'percolation' featureyes
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersShardingSharding
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.none infoBut extensive use of caching in the application peersyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connectoryes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentMemcached and Redis integrationyes, with Range Indexes
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 levels

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More resources
Amazon NeptuneDatomicElasticsearchMarkLogic
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