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DBMS > Amazon Neptune vs. Dragonfly vs. RDF4J vs. Riak TS

System Properties Comparison Amazon Neptune vs. Dragonfly vs. RDF4J vs. Riak TS

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDragonfly  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelGraph DBMS
RDF store
Key-value storeRDF storeTime Series 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
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websiteaws.amazon.com/­neptunegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
rdf4j.org
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.dragonflydb.io/­docsrdf4j.org/­documentationwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperAmazonDragonflyDB team and community contributorsSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Open Source, formerly Basho Technologies
Initial release2017202320042015
Current release1.0, March 20233.0.0, September 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1Open Source infoEclipse Distribution License (EDL), v1.0.Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaErlang
Server operating systemshostedLinuxLinux
OS X
Unix
Windows
Linux
OS X
Data schemeschema-freescheme-freeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyesno
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.nonono
Secondary indexesnonoyesrestricted
SQL infoSupport of SQLnononoyes, limited
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Proprietary protocol infoRESP - REdis Serialization ProtocolJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP API
Native Erlang Interface
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Java
PHP
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoLuayesErlang
Triggersnopublish/subscribe channels provide some trigger functionalityyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding
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 replicationnoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes infoin-memory storage is supported as wellyes
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)Password-based authenticationnono

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More resources
Amazon NeptuneDragonflyRDF4J infoformerly known as SesameRiak TS
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