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DBMS > Amazon Neptune vs. Neo4j vs. Sadas Engine

System Properties Comparison Amazon Neptune vs. Neo4j vs. Sadas Engine

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonNeo4j  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments
Primary database modelGraph DBMS
RDF store
Graph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.39
Rank#113  Overall
#8  Graph DBMS
#5  RDF stores
Score57.87
Rank#19  Overall
#1  Graph DBMS
Score0.00
Rank#351  Overall
#146  Relational DBMS
Websiteaws.amazon.com/­neptuneneo4j.comwww.sadasengine.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesneo4j.com/­docswww.sadasengine.com/­index.php/­downloads/­documentation-columnar-db
DeveloperAmazonNeo4j, Inc.SADAS s.r.l.
Initial release201720072006
Current release4.3.6, October 20218.0
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses availablecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageJava, ScalaC++
Server operating systemshostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
AIX
Linux
Windows
Data schemeschema-freeschema-free and schema-optionalyes
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.nono
Secondary indexesnoyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes infoUser defined Procedures and Functionsno
Triggersnoyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesnoneyes using Neo4j Fabrichorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicasCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Amazon NeptuneNeo4jSadas Engine
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

This Week in Neo4j –Twitch, Stackoverflow, Masterclass, Workshop
15 October 2021

Jim Webber with Asurion’s Julie Fisher on Her Singular Path to Graph
14 October 2021

This Week in Neo4j – GDS 1.7 Features, Knowledge Graph with Spark and Neo4j, Digital Nomad Travel Logs, Link Predictions, Load Data Into AuraDB
9 October 2021

Combining Knowledge Graph and Graph Algorithms to Find Hidden Skills at NASA
8 October 2021

It’s Officially Fall: Let’s Catch Up on What You Missed This Summer
7 October 2021

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
3rd partiesGraphable delivers expert services for Neo4j and other Graph DBMS.
» more

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

More resources
Amazon NeptuneNeo4jSadas Engine
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22 December 2015, Emil Eifrem (guest author)

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Recent citations in the news

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30 July 2021, ZDNet

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5 April 2018, ZDNet

Amazon Neptune is here: 6 ways customers use the AWS graph database
31 May 2018, TechRepublic

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Neo4J Releases Graph Data Science Library, Look For New Updates
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19 October 2021, Puck77

GPU Database Market Booming Segments; Investors Seeking – Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox – Puck77
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Global Graph Database Market Expected To Reach Highest CAGR By 2026: IBM, Microsoft, Oracle, AWS, Neo4j etc. – Puck77
19 October 2021, Puck77

Neo4j raises Neo$325M as graph-based data analysis takes hold in enterprise
17 June 2021, TechCrunch

provided by Google News

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