DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > AllegroGraph vs. Kdb vs. Neo4j

System Properties Comparison AllegroGraph vs. Kdb vs. Neo4j

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonKdb  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSHigh performance Time Series DBMSScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Time Series DBMS
Vector DBMS
Graph DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#214  Overall
#36  Document stores
#19  Graph DBMS
#9  RDF stores
#14  Vector DBMS
Score7.10
Rank#48  Overall
#2  Time Series DBMS
#3  Vector DBMS
Score46.15
Rank#20  Overall
#1  Graph DBMS
Websiteallegrograph.comkx.comneo4j.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlcode.kx.comneo4j.com/­docs
DeveloperFranz Inc.Kx Systems, a division of First Derivatives plcNeo4j, Inc.
Initial release20042000 infokdb was released 2000, kdb+ in 20032007
Current release8.0, December 20233.6, May 20185.23, August 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infofree 32-bit versionOpen Source infoGPL version3, 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.
Implementation languageqJava, Scala
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyes infoRDF schemasyesschema-free and schema-optional
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.no infobulk load of XML files possibleyes
Secondary indexesyesyes infotable attribute 'grouped'yes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query language (q)no
APIs and other access methodsRESTful HTTP API
SPARQL
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functionsyes infoUser defined Procedures and Functions
Triggersyesyes infowith viewsyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodeswith Federationhorizontal partitioningyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationrights management via user accountsUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
AllegroGraphKdbNeo4j
News

Why Agentic AI Needs Neuro-Symbolic Knowledge Graphs for Enterprise Intelligence
3 March 2025

Knowledge Graphs in Modern Hybrid AI Architectures
29 January 2025

2025 Trend-Setting Product – AllegroGraph
17 December 2024

AllegroGraph Named “2024 Best Knowledge Graph” by KMWorld Readers’ Choice
12 November 2024

AllegroGraph Named a 2024 Trend Setting Product
16 September 2024

This Week in Neo4j: Knowledge Graph, Deepseek, Bloodhound, RAG and more
15 March 2025

Graph Database vs. Relational Database: What’s The Difference?
13 March 2025

How to Build a Knowledge Graph in 7 Steps
12 March 2025

Function Calling in Agentic Workflows
12 March 2025

Automate Start and Stop of Neo4j AuraDB Instances Using GitHub Actions
11 March 2025

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
AllegroGraphKdbNeo4j
DB-Engines blog posts

Applying Graph Analytics to Game of Thrones
12 June 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22 December 2015, Emil Eifrem (guest author)

show all

Recent citations in the news

Q&A: Can Neuro-Symbolic AI Solve AI’s Weaknesses?
8 April 2024, TDWI

The key to quantum computing AI applications: Flexible programming languages
2 July 2022, VentureBeat

Tackling Cryptocurrency Fraud, Autonomous Drones and Drug Discovery in 2025
4 February 2025, RTInsights

A Brief Overview of the Strengths and Weaknesses Artificial Intelligence
26 February 2024, insideainews.com

Fuse Graph Neural Networks with Semantic Reasoning to Produce Complimentary Predictions
21 September 2021, Towards Data Science

provided by Google News

Introducing Amazon FinSpace with Managed kdb Insights, a fully managed analytics engine, commonly used by capital markets customers for analysis of real-time and historical time series data
18 May 2023, AWS Blog

KX BRINGS THE POWER AND PERFORMANCE OF KDB+ TO PYTHON DEVELOPERS WITH PYKX
7 June 2023, PR Newswire

Why so few people learn the hottest coding language in finance
5 October 2020, eFinancialCareers

McLaren Applied and KX partner to enhance ATLAS software analytics capabilities
9 August 2023, Professional Motorsport World

KX ANNOUNCES KDB INSIGHTS AS FULLY MANAGED SERVICE ON AMAZON FINSPACE
18 May 2023, Markets Insider

provided by Google News

Swedish company accelerates toward IPO with $50M investment at $2B valuation - ArcticStartup
28 November 2024, ArcticStartup

Data Science Firm Neo4j Reportedly Prepping IPO
19 November 2024, PYMNTS.com

Neo4j lowers barriers to graph technology with gen AI copilot, 15x read capacity
4 September 2024, VentureBeat

Fueling real-time recommendations using a graph-based approach for complex data relationships
13 March 2025, AWS Blog

Discover Graph Databases with Neo4j and PHP
7 November 2024, SitePoint

provided by Google News



Share this page

Featured Products

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here