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DBMS > Amazon Neptune vs. Apache Kylin vs. Bangdb vs. IBM Cloudant

System Properties Comparison Amazon Neptune vs. Apache Kylin vs. Bangdb vs. IBM Cloudant

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Kylin  Xexclude from comparisonBangdb  Xexclude from comparisonIBM Cloudant  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackConverged and high performance database for device data, events, time series, document and graphDatabase as a Service offering based on Apache CouchDB
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument store
Graph DBMS
Time Series DBMS
Document store
Secondary database modelsSpatial 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
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Websiteaws.amazon.com/­neptunekylin.apache.orgbangdb.comwww.ibm.com/­products/­cloudant
Technical documentationaws.amazon.com/­neptune/­developer-resourceskylin.apache.org/­docsdocs.bangdb.comcloud.ibm.com/­docs/­Cloudant
DeveloperAmazonApache Software Foundation, originally contributed from eBay IncSachin Sinha, BangDBIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014
Initial release2017201520122010
Current release3.1.0, July 2020BangDB 2.0, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoBSD 3commercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++Erlang
Server operating systemshostedLinuxLinuxhosted
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes: string, long, double, int, geospatial, stream, eventsno
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 indexesnoyesyes infosecondary, composite, nested, reverse, geospatialyes
SQL infoSupport of SQLnoANSI SQL for queries (using Apache Calcite)SQL like support with command line toolno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
Proprietary protocol
RESTful HTTP API
RESTful HTTP/JSON API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Java
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
Server-side scripts infoStored proceduresnonoView functions (Map-Reduce) in JavaScript
Triggersnoyes, Notifications (with Streaming only)yes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding
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.selectable replication factor, Knob for CAP (enterprise version only)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyTunable consistency, set CAP knob accordinglyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoatomic operations within a document possible
Concurrency infoSupport for concurrent manipulation of datayesyesyes, optimistic concurrency controlyes infoOptimistic locking
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes, implements WAL (Write ahead log) as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modeno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes (enterprise version only)Access rights for users can be defined per database

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More resources
Amazon NeptuneApache KylinBangdbIBM Cloudant
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