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DBMS > Amazon Neptune vs. GigaSpaces vs. HarperDB vs. Newts

System Properties Comparison Amazon Neptune vs. GigaSpaces vs. HarperDB vs. Newts

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHarperDB  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsUltra-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.Time Series DBMS based on Cassandra
Primary database modelGraph DBMS
RDF store
Document store
Object oriented DBMS infoValues are user defined objects
Document storeTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websiteaws.amazon.com/­neptunewww.gigaspaces.comwww.harperdb.ioopennms.github.io/­newts
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.gigaspaces.com/­latest/­landing.htmldocs.harperdb.io/­docsgithub.com/­OpenNMS/­newts/­wiki
DeveloperAmazonGigaspaces TechnologiesHarperDBOpenNMS Group
Initial release2017200020172014
Current release15.5, September 20203.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availablecommercial infofree community edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetNode.jsJava
Server operating systemshostedLinux
macOS
Solaris
Windows
Linux
OS X
Linux
OS X
Windows
Data schemeschema-freeschema-freedynamic schemaschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyes
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 infoXML can be used for describing objects metadatanono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoSQL-99 for query and DML statementsSQL-like data manipulation statementsno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP REST
Java API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C++
Java
Python
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
Java
Server-side scripts infoStored proceduresnoyesCustom Functions infosince release 3.1no
Triggersnoyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingA table resides as a whole on one (or more) nodes in a clusterSharding infobased on Cassandra
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.Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infothe nodes on which a table resides can be definedselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role-based access controlAccess rights for users and rolesno

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More resources
Amazon NeptuneGigaSpacesHarperDBNewts
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