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DBMS > AllegroGraph vs. Amazon Neptune vs. Sphinx

System Properties Comparison AllegroGraph vs. Amazon Neptune vs. Sphinx

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSFast, reliable graph database built for the cloudOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Graph DBMS
RDF store
Search engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.23
Rank#159  Overall
#28  Document stores
#14  Graph DBMS
#7  RDF stores
Score2.60
Rank#112  Overall
#7  Graph DBMS
#5  RDF stores
Score7.91
Rank#56  Overall
#6  Search engines
Websiteallegrograph.comaws.amazon.com/­neptunesphinxsearch.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlaws.amazon.com/­neptune/­developer-resourcessphinxsearch.com/­docs
DeveloperFranz Inc.AmazonSphinx Technologies Inc.
Initial release200420172001
Current release7.2, October 20213.4.1, July 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsLinux
OS X
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyes infoRDF schemasschema-freeyes
Typing infopredefined data types such as float or dateyesyesno
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.no infobulk load of XML files possibleno
Secondary indexesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP API
SPARQL
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
Proprietary protocol
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-availability zones high availability, asynchronous replication for up to 15 read replicasnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyes 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.no
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)no
More information provided by the system vendor
AllegroGraphAmazon NeptuneSphinx
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
News

Franz’s AllegroGraph Name “Best Knowledge Graph” by KMWorld Readers’ Choice
8 November 2021

AllegroGraph v7.2 – Now Available (GNN, Virtual Graphs, Spark, and Kafka)
25 October 2021

Fuse Graph Neural Networks with Semantic Reasoning to Produce Complimentary Predictions
25 September 2021

Essilor’s Knowledge Graph for Global Supply Chain Risk Management
14 September 2021

No-Code Queries Can Accelerate AI and Data Analytics
1 September 2021

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AllegroGraphAmazon NeptuneSphinx
DB-Engines blog posts

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Recent citations in the news

Knowledge graph insights from KMWorld Connect 2021
24 November 2021, KMWorld Magazine

Franz’s AllegroGraph Name “Best Knowledge Graph” by KMWorld Readers’ Choice
9 November 2021, EIN News

AiThority Interview with Dr. Jans Aasman, CEO at Franz
1 July 2021, AiThority

Verint Speakers Explore How AI and Digital-First Engagement are Driving Innovation in the Contact Center
1 November 2021, Business Wire

2022 Trends in Artificial Intelligence and Machine Learning: Reasoning Meets Learning
5 November 2021, insideBIGDATA

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Here’s how you can predict graphs accurately, quickly, and securely with Amazon Neptune
1 November 2021, YourStory.com

The untapped potential of HPC + graph computing
30 October 2021, VentureBeat

Amazon Neptune update: Machine learning, data science, and the future of graph databases
30 July 2021, ZDNet

Catching up with Amazon Neptune
26 November 2019, ZDNet

Looking under the hood at Amazon Neptune
5 April 2018, ZDNet

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How to Build 600+ Links in One Month
4 September 2020, Search Engine Journal

6 Top & Best Open source Search Engine Software for Enterprises
17 June 2019, H2S Media

Best Full-Text Search Engines to Maximize Search Experience for Your Users in 2021
31 May 2021, Techstory

provided by Google News

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