DBMS > Kdb vs. Neo4j vs. OpenSearch vs. Oracle Coherence vs. Stardog

System Properties Comparison Kdb vs. Neo4j vs. OpenSearch vs. Oracle Coherence vs. Stardog

Editorial information provided by DB-Engines

Name

Description

Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings

A distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene

Oracles in-memory data grid solution

Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization

Primary database model

Time Series DBMS
Vector DBMS

Secondary database models

Relational DBMS

Vector DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	7.71
Rank	#49	Overall
	#2	Time Series DBMS
	#1	Vector DBMS

Score	44.89
Rank	#21	Overall
	#1	Graph DBMS

Score	16.03
Rank	#37	Overall
	#4	Search engines

Score	1.97
Rank	#129	Overall
	#22	Key-value stores

Score	2.07
Rank	#122	Overall
	#11	Graph DBMS
	#6	RDF stores

Website

kx.com

neo4j.com

github.com/opensearch-project
opensearch.org

www.oracle.com/java/coherence

www.stardog.com

Technical documentation

code.kx.com

neo4j.com/docs

opensearch.org/docs/latest

docs.oracle.com/en/middleware/standalone/coherence

docs.stardog.com

Developer

Kx Systems, a division of First Derivatives plc

Neo4j, Inc.

Amazon Web Services

Oracle

Stardog-Union

Initial release

2000

kdb was released 2000, kdb+ in 2003

2007

2021

2007

2010

Current release

3.6, May 2018

5.20, May 2024

2.5.0, January 2023

14.1, August 2023

7.3.0, May 2020

License

Commercial or Open Source

commercial

free 32-bit version

Open Source

GPL version3, commercial licenses available

Open Source

Apache Version 2.0

commercial

60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database 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.

STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
Aiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.

Implementation language

Java, Scala

Java

Server operating systems

Linux
OS X
Solaris
Windows

Linux

Can also be used server-less as embedded Java database.
OS X
Solaris
Windows

All OS with a Java VM

Linux
macOS
Windows

Data scheme

yes

schema-free and schema-optional

schema-free

Flexible type definitions. Once a type is defined, it is persistent

schema-free

schema-free and OWL/RDFS-schema support

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Import/export of XML data possible

Secondary indexes

yes

table attribute 'grouped'

yes

pluggable indexing subsystem, by default Apache Lucene

yes

All search fields are automatically indexed

yes

supports real-time indexing in full-text and geospatial

SQL

Support of SQL

SQL-like query language (q)

SQL-like query language

Yes, compatible with all major SQL variants through dedicated BI/SQL Server

APIs and other access methods

HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket

Bolt protocol
Cypher query language
Java API
Neo4j-OGM

Object Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3

Java API
RESTful HTTP/JSON API

JCache
JPA
RESTful HTTP API

GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3

Supported programming languages

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

Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Elasticsearch client

.Net
C++
Java

.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby

Server-side scripts

Stored procedures

user defined functions

yes

User defined Procedures and Functions

yes

user defined functions and aggregates, HTTP Server extensions in Java

Triggers

yes

with views

yes

via event handler

yes

by using the 'percolation' feature

yes

Live Events

yes

via event handlers

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

yes using Neo4j Fabric

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

Causal Clustering using Raft protocol

available in in Enterprise Version only

yes

yes, with selectable consistency level

Multi-source replication in HA-Cluster

MapReduce

Offers an API for user-defined Map/Reduce methods

similar paradigm used for internal processing

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode

Eventual Consistency

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

Eventual Consistency
Immediate Consistency

Immediate Consistency in HA-Cluster

Foreign keys

Referential integrity

yes

Relationships in graphs

yes

relationships in graphs

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

configurable

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optionally

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

rights management via user accounts

Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)

authentification to access the cache via certificates or http basic authentication

Access rights for users and roles

More information provided by the system vendor

Specific characteristics

Integrated columnar database & programming system for streaming, real time and historical...
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Neo4j delivers graph technology that has been battle tested for performance and scale...
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OpenSearch is a highly scalable and extensible open-source software suite for search,...
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Competitive advantages

provides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more

Neo4j is the market leader, graph database category creator, and the most widely...
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Distributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
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Typical application scenarios

tick database streaming sensor data massive intelligence applications oil and gas...
» more

Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more

The OpenSearch platform is used across a broad range of search , analytics, and observability...
» more

Key customers

Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more

Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
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Market metrics

kdb+ performance and reliability proven by our customers in critical infrastructure...
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Neo4j boasts the world's largest graph database ecosystem with more than 140 million...
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Licensing and pricing models

upon request
» more

GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
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The OpenSearch Project offers open source software licensed under Apache License...
» more

News

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10 June 2024

This Week in Neo4j: Podcast, Testing, Knowledge Graph, GenAI and more
8 June 2024

Neo4j and Snowflake Bring Graph Data Science Into the AI Data Cloud
4 June 2024

RDF vs. Property Graphs: Choosing the Right Approach for Implementing a Knowledge Graph
4 June 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.