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DBMS > Amazon Neptune vs. Apache Druid vs. HarperDB vs. LokiJS

System Properties Comparison Amazon Neptune vs. Apache Druid vs. HarperDB vs. LokiJS

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Druid  Xexclude from comparisonHarperDB  Xexclude from comparisonLokiJS  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.In-memory JavaScript DBMS
Primary database modelGraph DBMS
RDF store
Relational DBMS
Time Series DBMS
Document storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score0.55
Rank#243  Overall
#38  Document stores
Score0.44
Rank#256  Overall
#40  Document stores
Websiteaws.amazon.com/­neptunedruid.apache.orgwww.harperdb.iogithub.com/­techfort/­LokiJS
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdruid.apache.org/­docs/­latest/­designdocs.harperdb.io/­docstechfort.github.io/­LokiJS
DeveloperAmazonApache Software Foundation and contributorsHarperDB
Initial release2017201220172014
Current release30.0.0, June 20243.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercial infofree community edition availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsJavaScript
Server operating systemshostedLinux
OS X
Unix
Linux
OS X
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyes infoschema-less columns are supporteddynamic schemaschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesno
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 infovia views
SQL infoSupport of SQLnoSQL for queryingSQL-like data manipulation statementsno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
RESTful HTTP/JSON API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JavaScript API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.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
JavaScript
Server-side scripts infoStored proceduresnonoCustom Functions infosince release 3.1View functions in JavaScript
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basedA table resides as a whole on one (or more) nodes in a clusternone
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, via HDFS, S3 or other storage enginesyes infothe nodes on which a table resides can be definednone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsno infoatomic operations within a single collection possible
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes, using LMDByes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.
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)RBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users and rolesno

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More resources
Amazon NeptuneApache DruidHarperDBLokiJS
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