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DBMS > EXASOL vs. HEAVY.AI vs. Neo4j vs. RDFox

System Properties Comparison EXASOL vs. HEAVY.AI vs. Neo4j vs. RDFox

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonNeo4j  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSRelational DBMSGraph DBMSGraph DBMS
RDF store
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#120  Overall
#57  Relational DBMS
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score44.47
Rank#23  Overall
#1  Graph DBMS
Score0.24
Rank#309  Overall
#25  Graph DBMS
#14  RDF stores
Websitewww.exasol.comgithub.com/­heavyai/­heavydb
www.heavy.ai
neo4j.comwww.oxfordsemantic.tech
Technical documentationwww.exasol.com/­resourcesdocs.heavy.aineo4j.com/­docsdocs.oxfordsemantic.tech
DeveloperExasolHEAVY.AI, Inc.Neo4j, Inc.Oxford Semantic Technologies
Initial release2000201620072017
Current release5.10, January 20225.19, April 20246.0, Septermber 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen 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 languageC++ and CUDAJava, ScalaC++
Server operating systemsLinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesschema-free and schema-optionalyes infoRDF schemas
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 indexesyesnoyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLyesyesnono
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
Thrift
Vega
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
RESTful HTTP API
SPARQL 1.1
Supported programming languagesJava
Lua
Python
R
All languages supporting JDBC/ODBC/Thrift
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C
Java
Server-side scripts infoStored proceduresuser defined functionsnoyes infoUser defined Procedures and Functions
Triggersyesnoyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Roles, resources, and access types
More information provided by the system vendor
EXASOLHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Neo4jRDFox
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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