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DBMS > Amazon Neptune vs. chDB vs. DolphinDB

System Properties Comparison Amazon Neptune vs. chDB vs. DolphinDB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonchDB  Xexclude from comparisonDolphinDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAn embedded SQL OLAP Engine powered by ClickHouseDolphinDB 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.
Primary database modelGraph DBMS
RDF store
Relational DBMSTime Series DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.07
Rank#376  Overall
#158  Relational DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Websiteaws.amazon.com/­neptunegithub.com/­chdb-io/­chdbwww.dolphindb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdoc.chdb.iodocs.dolphindb.cn/­en/­help200/­index.html
DeveloperAmazonDolphinDB, Inc
Initial release201720232018
Current releasev2.00.4, January 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infofree community version available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedserver-lessLinux
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLnoClose to ANSI SQL (SQL/JSON + extensions)SQL-like query language
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Bun
C
C++
Go
JavaScript (Node.js)
Python
Rust
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Server-side scripts infoStored proceduresnoyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning
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.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Administrators, Users, Groups

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More resources
Amazon NeptunechDBDolphinDB
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