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DBMS > Amazon Neptune vs. Cubrid vs. DolphinDB vs. Elasticsearch

System Properties Comparison Amazon Neptune vs. Cubrid vs. DolphinDB vs. Elasticsearch

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonCubrid  Xexclude from comparisonDolphinDB  Xexclude from comparisonElasticsearch  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.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 metric
Primary database modelGraph DBMS
RDF store
Relational DBMSTime Series DBMSSearch engine
Secondary database modelsRelational DBMSDocument 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
Score1.31
Rank#169  Overall
#78  Relational DBMS
Score4.23
Rank#82  Overall
#6  Time Series DBMS
Score134.78
Rank#7  Overall
#1  Search engines
Websiteaws.amazon.com/­neptunecubrid.com (korean)
cubrid.org (english)
www.dolphindb.comwww.elastic.co/­elasticsearch
Technical documentationaws.amazon.com/­neptune/­developer-resourcescubrid.org/­manualsdocs.dolphindb.cn/­en/­help200/­index.htmlwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperAmazonCUBRID Corporation, CUBRID FoundationDolphinDB, IncElastic
Initial release2017200820182010
Current release11.0, January 2021v2.00.4, January 20228.6, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infofree community version availableOpen Source infoElastic License
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaC++Java
Server operating systemshostedLinux
Windows
Linux
Windows
All OS with a Java VM
Data schemeschema-freeyesyesschema-free infoFlexible type definitions. Once a type is defined, it is persistent
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.nononono
Secondary indexesnoyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyesSQL-like query languageSQL-like query language
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
OLE DB
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Java API
RESTful HTTP/JSON API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoJava Stored Proceduresyesyes
Triggersnoyesnoyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioningSharding
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.Source-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesES-Hadoop Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesMemcached and Redis integration
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardAdministrators, Users, Groups

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More resources
Amazon NeptuneCubridDolphinDBElasticsearch
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