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DBMS > Amazon Neptune vs. HugeGraph vs. Neo4j vs. Postgres-XL

System Properties Comparison Amazon Neptune vs. HugeGraph vs. Neo4j vs. Postgres-XL

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonHugeGraph  Xexclude from comparisonNeo4j  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA fast-speed and highly-scalable Graph DBMSScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelGraph DBMS
RDF store
Graph DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websiteaws.amazon.com/­neptunegithub.com/­hugegraph
hugegraph.apache.org
neo4j.comwww.postgres-xl.org
Technical documentationaws.amazon.com/­neptune/­developer-resourceshugegraph.apache.org/­docsneo4j.com/­docswww.postgres-xl.org/­documentation
DeveloperAmazonBaiduNeo4j, Inc.
Initial release2017201820072014 infosince 2012, originally named StormDB
Current release0.95.19, April 202410 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL version3, commercial licenses availableOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud serviceyesnonono
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 languageJavaJava, ScalaC
Server operating systemshostedLinux
macOS
Unix
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Data schemeschema-freeyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes infoXML type, but no XML query functionality
Secondary indexesnoyes infoalso supports composite index and range indexyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLnononoyes infodistributed, parallel query execution
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Java API
RESTful HTTP API
TinkerPop Gremlin
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Groovy
Java
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsyes infoUser defined Procedures and Functionsuser defined functions
Triggersnonoyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseyes 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 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.yes infodepending on used storage backend, e.g. Cassandra and HBaseCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoedges in graphyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users, roles and permissionsUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)fine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon NeptuneHugeGraphNeo4jPostgres-XL
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
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