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DBMS > Amazon Neptune vs. Dgraph vs. Elasticsearch vs. EsgynDB vs. InterSystems IRIS

System Properties Comparison Amazon Neptune vs. Dgraph vs. Elasticsearch vs. EsgynDB vs. InterSystems IRIS

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDgraph  Xexclude from comparisonElasticsearch  Xexclude from comparisonEsgynDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudDistributed and scalable native Graph DBMSA 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 metricEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalability
Primary database modelGraph DBMS
RDF store
Graph DBMSSearch engineRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#112  Overall
#9  Graph DBMS
#5  RDF stores
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score134.78
Rank#7  Overall
#1  Search engines
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score4.39
Rank#81  Overall
#13  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#44  Relational DBMS
Websiteaws.amazon.com/­neptunedgraph.iowww.elastic.co/­elasticsearchwww.esgyn.cnwww.intersystems.com/­products/­intersystems-iris
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdgraph.io/­docswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperAmazonDgraph Labs, Inc.ElasticEsgynInterSystems
Initial release20172016201020152018
Current release8.6, January 20232023.3, June 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoElastic Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC++, Java
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VMLinuxAIX
Linux
macOS
Ubuntu
Windows
Data schemeschema-freeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesdepending on used data model
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononoyes
Secondary indexesnoyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLnonoSQL-like query languageyesyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net.Net
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyesJava Stored Proceduresyes
Triggersnonoyes infoby using the 'percolation' featurenoyes
Partitioning methods infoMethods for storing different data on different nodesnoneyesShardingShardingSharding
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.Synchronous replication via RaftyesMulti-source replication between multi datacentersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connectoryesno
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 integrationnoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)no infoPlanned for future releasesfine grained access rights according to SQL-standardyes
More information provided by the system vendor
Amazon NeptuneDgraphElasticsearchEsgynDBInterSystems IRIS
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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Amazon NeptuneDgraphElasticsearchEsgynDBInterSystems IRIS
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