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DBMS > 4D vs. Dolt vs. Heroic vs. Neo4j

System Properties Comparison 4D vs. Dolt vs. Heroic vs. Neo4j

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonDolt  Xexclude from comparisonHeroic  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemA MySQL compatible DBMS with Git-like versioning of data and schemaTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelRelational DBMSRelational DBMSTime Series DBMSGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Websitewww.4d.comgithub.com/­dolthub/­dolt
www.dolthub.com
github.com/­spotify/­heroicneo4j.com
Technical documentationdeveloper.4d.comdocs.dolthub.comspotify.github.io/­heroicneo4j.com/­docs
Developer4D, IncDoltHub IncSpotifyNeo4j, Inc.
Initial release1984201820142007
Current releasev20, April 20235.20, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open 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 languageGoJavaJava, Scala
Server operating systemsOS X
Windows
Linux
macOS
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyesyesschema-freeschema-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.yesnono
Secondary indexesyesyesyes infovia Elasticsearchyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLyes infoclose to SQL 92yesnono
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
CLI Client
HTTP REST
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languages4D proprietary IDE
PHP
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesyes infocurrently in alpha releasenoyes infoUser defined Procedures and Functions
Triggersyesyesnoyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yesCausal 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 ConsistencyEventual Consistency
Immediate Consistency
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityyesyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nono
User concepts infoAccess controlUsers and groupsOnly one user is configurable, and must be specified in the config file at startupUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
4D infoformer name: 4th DimensionDoltHeroicNeo4j
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
4D infoformer name: 4th DimensionDoltHeroicNeo4j
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