DBMS > Databricks vs. Neo4j vs. RethinkDB

System Properties Comparison Databricks vs. Neo4j vs. RethinkDB

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Editorial information provided by DB-Engines

Name

Description

The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.

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

DBMS for the Web with a mechanism to push updated query results to applications in realtime.

Primary database model

Document store
Relational DBMS

Graph DBMS

Document store

Secondary database models

Spatial DBMS

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

Score	102.66
Rank	#12	Overall
	#2	Document stores
	#8	Relational DBMS

Score	47.91
Rank	#20	Overall
	#1	Graph DBMS

Score	2.30
Rank	#105	Overall
	#19	Document stores

Website

www.databricks.com

neo4j.com

rethinkdb.com

Technical documentation

docs.databricks.com

neo4j.com/docs

rethinkdb.com/docs

Developer

Databricks

Neo4j, Inc.

The Linux Foundation

since July 2017

Initial release

2013

2007

2009

Current release

5.23, August 2024

2.4.1, August 2020

License

Commercial or Open Source

commercial

Open Source

GPL version3, commercial licenses available

Open Source

Apache Version 2

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java, Scala

C++

Server operating systems

hosted

Linux

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

Linux
OS X
Windows

Data scheme

Flexible Schema (defined schema, partial schema, schema free)

schema-free and schema-optional

schema-free

Typing

predefined data types such as float or date

yes

string, binary, float, bool, date, geometry

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

Secondary indexes

yes

pluggable indexing subsystem, by default Apache Lucene

yes

SQL

Support of SQL

with Databricks SQL

APIs and other access methods

JDBC
ODBC
RESTful HTTP API

Bolt protocol
Cypher query language
Java API
Neo4j-OGM

Object Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3

Supported programming languages

Python
R
Scala

.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala

community-supported driver
C#

community-supported driver
C++

community-supported driver
Clojure

community-supported driver
Dart

community-supported driver
Erlang

community-supported driver
Go

community-supported driver
Haskell

community-supported driver
Java

official driver
JavaScript (Node.js)

official driver
Lisp

community-supported driver
Lua

community-supported driver
Objective-C

community-supported driver
Perl

community-supported driver
PHP

community-supported driver
Python

official driver
Ruby

official driver
Scala

community-supported driver

Server-side scripts

Stored procedures

user defined functions and aggregates

yes

User defined Procedures and Functions

Triggers

yes

via event handler

Client-side triggers through changefeeds

Partitioning methods

Methods for storing different data on different nodes

yes using Neo4j Fabric

Sharding

range based

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Causal Clustering using Raft protocol

available in in Enterprise Version only

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

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

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

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

ACID

Atomic single-document operations

Concurrency

Support for concurrent manipulation of data

yes

MVCC based

Durability

Support for making data persistent

yes

In-memory capabilities

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

User concepts

Access control

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

yes

users and table-level permissions

More information provided by the system vendor

News

Announcing the Neo4j Graph Workload for Microsoft Fabric
15 May 2025

Run Cypher From Java
13 May 2025

Integrating Neo4j With LangChain4j for GraphRAG Vector Stores and Retrievers
12 May 2025

This Week in Neo4j: NODES, Knowledge Graph, Graph Analytics, MCP and more
10 May 2025

Aura Graph Analytics: A Technical Deep Dive
7 May 2025

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Recent citations in the news

Exclusive | Databricks to Buy Startup Neon for $1 Billion
14 May 2025, WSJ

Databricks Hires Google Cloud, AWS Marketplace Guru
15 May 2025, CRN Magazine

Databricks Agrees to Acquire Neon to Deliver Serverless Postgres for Developers + AI Agents
14 May 2025, PR Newswire

Databricks buys serverless database startup Neon for reported $1B
14 May 2025, SiliconANGLE

Databricks modernizes healthcare data on AWS
13 May 2025, Amazon Web Services

provided by Google News

NASA jettisons Neo4j database for Memgraph citing costs
7 May 2025, theregister.com

Neo4j Brings Graph Analytics to Any Data Platform
14 May 2025, CDOTrends

Neo4j goes serverless, bringing graph analytics to any data source
7 May 2025, SiliconANGLE

Latest Neo4j release aims to simplify graph technology
7 May 2025, TechTarget

Neo4j Launches Industry's First Graph Analytics Offering For Any Data Platform
7 May 2025, PR Newswire

provided by Google News

How to Use RethinkDB with Node.js Applications
7 November 2024, SitePoint

An introduction to building realtime apps with RethinkDB
4 June 2015, devmio

Stripe acquires team behind NoSQL database startup RethinkDB
5 October 2016, VentureBeat

RethinkDB is dead, and MongoDB isn’t what killed it
24 January 2017, TechRepublic

Open Source Software Is Big Business With Big Funding
17 April 2017, Crunchbase News

provided by Google News

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