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DBMS > Amazon Neptune vs. BigObject vs. DataFS vs. Hazelcast

System Properties Comparison Amazon Neptune vs. BigObject vs. DataFS vs. Hazelcast

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonBigObject  Xexclude from comparisonDataFS  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAnalytic DBMS for real-time computations and queriesAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A widely adopted in-memory data grid
Primary database modelGraph DBMS
RDF store
Relational DBMS infoa hierachical model (tree) can be imposedObject oriented DBMSKey-value store
Secondary database modelsGraph DBMSDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Websiteaws.amazon.com/­neptunebigobject.ionewdatabase.comhazelcast.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.bigobject.iodev.mobiland.com/­Overview.xsphazelcast.org/­imdg/­docs
DeveloperAmazonBigObject, Inc.Mobiland AGHazelcast
Initial release2017201520182008
Current release1.1.263, October 20225.3.6, November 2023
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
WindowsAll OS with a Java VM
Data schemeschema-freeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-free
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.nononoyes infothe object must implement a serialization strategy
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoSQL-like query language
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
fluentd
ODBC
RESTful HTTP API
.NET Client API
Proprietary client DLL
WinRT client
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C#
C++
VB.Net
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoLuayes infoEvent Listeners, Executor Services
Triggersnonono, except callback-events from server when changes happenedyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesnonenoneProprietary Sharding systemSharding
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.noneyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoautomatically between fact table and dimension tablesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
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.yesnoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noWindows-ProfileRole-based access control

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More resources
Amazon NeptuneBigObjectDataFSHazelcast
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