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DBMS > Dgraph vs. EDB Postgres vs. HEAVY.AI vs. Neo4j

System Properties Comparison Dgraph vs. EDB Postgres vs. HEAVY.AI vs. Neo4j

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEDB Postgres  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.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 offerings
Primary database modelGraph DBMSRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.39
Rank#155  Overall
#15  Graph DBMS
Score1.86
Rank#131  Overall
#61  Relational DBMS
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score42.68
Rank#21  Overall
#1  Graph DBMS
Websitedgraph.iowww.enterprisedb.comgithub.com/­heavyai/­heavydb
www.heavy.ai
neo4j.com
Technical documentationdgraph.io/­docswww.enterprisedb.com/­docsdocs.heavy.aineo4j.com/­docs
DeveloperDgraph Labs, Inc.EnterpriseDBHEAVY.AI, Inc.Neo4j, Inc.
Initial release2016200520162007
Current release14, December 20215.10, January 20225.23, August 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoBSD for PostgreSQL-componentsOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGPL version3, commercial licenses available
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 languageGoCC++ and CUDAJava, Scala
Server operating systemsLinux
OS X
Windows
Linux
Windows
LinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-free and schema-optional
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.noyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesnoyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLnoyes infostandard with numerous extensionsyesno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Thrift
Vega
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
All languages supporting JDBC/ODBC/Thrift
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes infoUser defined Procedures and Functions
Triggersnoyesnoyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioning infoby hash, list or rangeSharding infoRound robinyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replicationMulti-source replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.noyes
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
DgraphEDB PostgresHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Neo4j
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DgraphEDB PostgresHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Neo4j
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