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DBMS > Amazon Neptune vs. Sphinx vs. Yandex Database

System Properties Comparison Amazon Neptune vs. Sphinx vs. Yandex Database

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonSphinx  Xexclude from comparisonYandex Database  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudOpen source search engine for searching in data from different sources, e.g. relational databasesA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelGraph DBMS
RDF store
Search engineDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.63
Rank#108  Overall
#7  Graph DBMS
#5  RDF stores
Score8.03
Rank#55  Overall
#6  Search engines
Score0.59
Rank#225  Overall
#35  Document stores
#109  Relational DBMS
Websiteaws.amazon.com/­neptunesphinxsearch.comcloud.yandex.com/­en/­services/­ydb
Technical documentationaws.amazon.com/­neptune/­developer-resourcessphinxsearch.com/­docscloud.yandex.com/­en/­docs/­ydb
DeveloperAmazonSphinx Technologies Inc.Yandex
Initial release201720012019
Current release3.4.1, July 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
hosted
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesnoyes
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
Secondary indexesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like query language (SphinxQL)SQL-like query language (YQL)
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
Proprietary protocolRESTful HTTP API (DynamoDB compatible)
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnonono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicasnoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess rights defined for Yandex Cloud users

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More resources
Amazon NeptuneSphinxYandex Database
DB-Engines blog posts

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Job opportunities

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