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DBMS > AgensGraph vs. Amazon Neptune vs. RethinkDB vs. Sphinx

System Properties Comparison AgensGraph vs. Amazon Neptune vs. RethinkDB vs. Sphinx

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonRethinkDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLFast, reliable graph database built for the cloudDBMS for the Web with a mechanism to push updated query results to applications in realtime.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMS
Relational DBMS
Graph DBMS
RDF store
Document storeSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score2.74
Rank#105  Overall
#19  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Websitebitnine.net/­agensgraphaws.amazon.com/­neptunerethinkdb.comsphinxsearch.com
Technical documentationbitnine.net/­documentationaws.amazon.com/­neptune/­developer-resourcesrethinkdb.com/­docssphinxsearch.com/­docs
DeveloperBitnine Global Inc.AmazonThe Linux Foundation infosince July 2017Sphinx Technologies Inc.
Initial release2016201720092001
Current release2.1, December 20182.4.1, August 20203.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemedepending on used data modelschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometryno
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.nonono
Secondary indexesyesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesnonoSQL-like query language (SphinxQL)
APIs and other access methodsCypher Query Language
JDBC
OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Proprietary protocol
Supported programming languagesC
Java
JavaScript
Python
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesnono
TriggersnonoClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenoneSharding inforange basedSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-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 replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyesyes 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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes infousers and table-level permissionsno

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More resources
AgensGraphAmazon NeptuneRethinkDBSphinx
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