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DBMS > AllegroGraph vs. Amazon Neptune vs. Kinetica

System Properties Comparison AllegroGraph vs. Amazon Neptune vs. Kinetica

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSFast, reliable graph database built for the cloudGPU-accelerated database for real-time analysis of large and streaming datasets
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Graph DBMS
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.01
Rank#167  Overall
#25  Document stores
#14  Graph DBMS
#7  RDF stores
Score2.35
Rank#115  Overall
#6  Graph DBMS
#4  RDF stores
Score0.75
Rank#193  Overall
#95  Relational DBMS
Websiteallegrograph.comaws.amazon.com/­neptunewww.kinetica.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlaws.amazon.com/­neptune/­developer-resourceswww.kinetica.com/­docs
DeveloperFranz Inc.AmazonKinetica
Initial release200420172012
Current release7.0.0, April 20206.0
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercial
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, C++
Server operating systemsLinux
OS X
Windows
hostedLinux
Data schemeyes infoRDF schemasschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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 possiblenono
Secondary indexesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP API
SPARQL
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnouser defined functions
Triggersyesnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneSharding
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 replicasSource-replica replication
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 ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAM
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)Access rights for users and roles on table level
More information provided by the system vendor
AllegroGraphAmazon NeptuneKinetica
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

Connected Data London – The Future of AI in the Enterprise
3 September 2020

Using Microsoft Power BI with AllegroGraph
19 August 2020

Franz Inc. Named an AI 50 Company by KMWorld
18 August 2020

Knowledge graphs enhance customer experience through speed and accuracy
10 July 2020

AllegroGraph Named to 100 Companies That Matter Most in Data
22 June 2020

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
AllegroGraphAmazon NeptuneKinetica
Conferences and events

Enterprise Knowledge Graphs, Connected-Data.London
Webinar, 23 September 2020

Recent citations in the news

Franz Inc. to Present at The Global Graph Summit and Data Day Texas 2020
10 January 2020, PR Web

Franz's AllegroGraph 7 Powers First Distributed Semantic Knowledge Graph Solution with Federated-Sharding
29 April 2020, PR Web

AllegroGraph Named to 100 Companies That Matter Most in Data
23 June 2020, PR Web

AllegroGraph v7 Powers First Distributed Semantic Knowledge Graph Solution with Federated-Sharding
26 May 2020, Business Wire

Ubiquitous AI Demands A New Type Of Database Sharding
1 May 2020, Forbes

provided by Google News

Load balance graph queries using the Amazon Neptune Gremlin Client
16 September 2020, idk.dev

Visualize query results using the Amazon Neptune workbench
2 September 2020, idk.dev

Cox Automotive scales digital personalization using an identity graph powered by Amazon Neptune
18 September 2020, idk.dev

Benefitting from SPARQL 1.1 Federated Queries with Amazon Neptune
25 August 2020, idk.dev

Catching up with Amazon Neptune
26 November 2019, ZDNet

provided by Google News

In-Depth SWOT Analysis on GPU Database Market 2020 Booming Worldwide Kinetica, OmniSci,SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph , BlazingDB, Zilliz,Jedox, HeteroDB
21 September 2020, The Daily Chronicle

Kinetica Streaming Data Warehouse Update Designed for Petabyte-Scale Data Sets
15 September 2020, TDWI

The Kinetica Streaming Data Warehouse Eliminates Legacy Analytics Latency with Simultaneous Streaming and Data Analysis
3 September 2020, Business Wire

Global GPU Database Market To Touch Highest Milestone In Terms of Overall Growth By 2026
21 September 2020, openPR

COVID-19 Impact on GPU Database Market 2020: Global Industry Size, Growth, Emerging Trends, Business Opportunities, SWOT Analysis by Top Key Vendors, Demand and Forecast Research to 2025
26 August 2020, The Daily Chronicle

provided by Google News

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