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DBMS > Amazon Neptune vs. Apache Kylin vs. HarperDB vs. HugeGraph

System Properties Comparison Amazon Neptune vs. Apache Kylin vs. HarperDB vs. HugeGraph

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Kylin  Xexclude from comparisonHarperDB  Xexclude from comparisonHugeGraph  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 stackUltra-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.A fast-speed and highly-scalable Graph DBMS
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument storeGraph 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
Score0.60
Rank#244  Overall
#38  Document stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Websiteaws.amazon.com/­neptunekylin.apache.orgwww.harperdb.iogithub.com/­hugegraph
hugegraph.apache.org
Technical documentationaws.amazon.com/­neptune/­developer-resourceskylin.apache.org/­docsdocs.harperdb.io/­docshugegraph.apache.org/­docs
DeveloperAmazonApache Software Foundation, originally contributed from eBay IncHarperDBBaidu
Initial release2017201520172018
Current release3.1.0, July 20203.1, August 20210.9
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infofree community edition availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsJava
Server operating systemshostedLinuxLinux
OS X
Linux
macOS
Unix
Data schemeschema-freeyesdynamic schemayes
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.nononono
Secondary indexesnoyesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLnoANSI SQL for queries (using Apache Calcite)SQL-like data manipulation statementsno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
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
Groovy
Java
Python
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1asynchronous Gremlin script jobs
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneA table resides as a whole on one (or more) nodes in a clusteryes infodepending on used storage backend, e.g. Cassandra and HBase
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 infothe nodes on which a table resides can be definedyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACID
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.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 rolesUsers, roles and permissions

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More resources
Amazon NeptuneApache KylinHarperDBHugeGraph
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