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DBMS > Amazon Neptune vs. Apache Kylin vs. Cubrid vs. Dragonfly vs. Sphinx

System Properties Comparison Amazon Neptune vs. Apache Kylin vs. Cubrid vs. Dragonfly vs. Sphinx

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Kylin  Xexclude from comparisonCubrid  Xexclude from comparisonDragonfly  Xexclude from comparisonSphinx  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 stackCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSKey-value storeSearch 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
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Score5.98
Rank#56  Overall
#5  Search engines
Websiteaws.amazon.com/­neptunekylin.apache.orgcubrid.com (korean)
cubrid.org (english)
github.com/­dragonflydb/­dragonfly
www.dragonflydb.io
sphinxsearch.com
Technical documentationaws.amazon.com/­neptune/­developer-resourceskylin.apache.org/­docscubrid.org/­manualswww.dragonflydb.io/­docssphinxsearch.com/­docs
DeveloperAmazonApache Software Foundation, originally contributed from eBay IncCUBRID Corporation, CUBRID FoundationDragonflyDB team and community contributorsSphinx Technologies Inc.
Initial release20172015200820232001
Current release3.1.0, July 202011.0, January 20211.0, March 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoBSL 1.1Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++, JavaC++C++
Server operating systemshostedLinuxLinux
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesscheme-freeyes
Typing infopredefined data types such as float or dateyesyesyesstrings, hashes, lists, sets, sorted sets, bit arraysno
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 indexesnoyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLnoANSI SQL for queries (using Apache Calcite)yesnoSQL-like query language (SphinxQL)
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Proprietary protocol infoRESP - REdis Serialization ProtocolProprietary protocol
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoJava Stored ProceduresLuano
Triggersnoyespublish/subscribe channels provide some trigger functionalityno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
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.Source-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of command blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, strict serializability by the serveryes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardPassword-based authenticationno

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More resources
Amazon NeptuneApache KylinCubridDragonflySphinx
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