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DBMS > HugeGraph vs. Lovefield vs. Neo4j vs. Netezza

System Properties Comparison HugeGraph vs. Lovefield vs. Neo4j vs. Netezza

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonLovefield  Xexclude from comparisonNeo4j  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSEmbeddable relational database for web apps written in pure JavaScriptScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsData warehouse and analytics appliance part of IBM PureSystems
Primary database modelGraph DBMSRelational DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score0.32
Rank#290  Overall
#132  Relational DBMS
Score44.47
Rank#23  Overall
#1  Graph DBMS
Score10.18
Rank#46  Overall
#29  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
google.github.io/­lovefieldneo4j.comwww.ibm.com/­products/­netezza
Technical documentationhugegraph.apache.org/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdneo4j.com/­docs
DeveloperBaiduGoogleNeo4j, Inc.IBM
Initial release2018201420072000
Current release0.92.1.12, February 20175.19, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoGPL version3, commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
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 languageJavaJavaScriptJava, Scala
Server operating systemsLinux
macOS
Unix
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux infoincluded in appliance
Data schemeyesyesschema-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.nono
Secondary indexesyes infoalso supports composite index and range indexyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternnoyes
APIs and other access methodsJava 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
JDBC
ODBC
OLE DB
Supported programming languagesGroovy
Java
Python
JavaScript.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoyes infoUser defined Procedures and Functionsyes
TriggersnoUsing read-only observersyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneyes using Neo4j FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityyes infoedges in graphyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDB
User concepts infoAccess controlUsers, roles and permissionsnoUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Users with fine-grained authorization concept
More information provided by the system vendor
HugeGraphLovefieldNeo4jNetezza infoAlso called PureData System for Analytics by IBM
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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