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DBMS > DuckDB vs. Neo4j vs. TypeDB

System Properties Comparison DuckDB vs. Neo4j vs. TypeDB

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonNeo4j  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelRelational DBMSGraph DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.68
Rank#76  Overall
#41  Relational DBMS
Score44.47
Rank#23  Overall
#1  Graph DBMS
Score0.81
Rank#217  Overall
#19  Graph DBMS
#99  Relational DBMS
Websiteduckdb.orgneo4j.comtypedb.com
Technical documentationduckdb.org/­docsneo4j.com/­docstypedb.com/­docs
DeveloperNeo4j, Inc.Vaticle
Initial release201820072016
Current release0.10, February 20245.18.1, March 20242.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoGPL version3, commercial licenses availableOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
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++Java, ScalaJava
Server operating systemsserver-lessLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLyesnono
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyes infoUser defined Procedures and Functionsno
Triggersnoyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesnoneyes using Neo4j FabricSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesnoneCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnoUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)yes infoat REST API level; other APIs in progress
More information provided by the system vendor
DuckDBNeo4jTypeDB infoformerly named Grakn
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» 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
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» 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
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