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DBMS > Amazon Neptune vs. Cloudflare Workers KV vs. Graph Engine vs. HarperDB

System Properties Comparison Amazon Neptune vs. Cloudflare Workers KV vs. Graph Engine vs. HarperDB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHarperDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.
Primary database modelGraph DBMS
RDF store
Key-value storeGraph DBMS
Key-value store
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score0.32
Rank#283  Overall
#40  Key-value stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.55
Rank#248  Overall
#38  Document stores
Websiteaws.amazon.com/­neptunewww.cloudflare.com/­developer-platform/­workers-kvwww.graphengine.iowww.harperdb.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdevelopers.cloudflare.com/­kv/­apiwww.graphengine.io/­docs/­manualdocs.harperdb.io/­docs
DeveloperAmazonCloudflareMicrosoftHarperDB
Initial release2017201820102017
Current release3.1, August 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT Licensecommercial infofree community edition available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CNode.js
Server operating systemshostedhosted.NETLinux
OS X
Data schemeschema-freeschema-freeyesdynamic schema
Typing infopredefined data types such as float or dateyesnoyesyes infoJSON data types
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 indexesnonoyes
SQL infoSupport of SQLnononoSQL-like data manipulation statements
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
HTTP REST
Proprietary protocol
RESTful HTTP APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
F#
Visual Basic
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Server-side scripts infoStored proceduresnonoyesCustom Functions infosince release 3.1
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningA table resides as a whole on one (or more) nodes in a cluster
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.yesyes infothe nodes on which a table resides can be defined
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes, using LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and roles

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More resources
Amazon NeptuneCloudflare Workers KVGraph Engine infoformer name: TrinityHarperDB
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