DBMS > Apache Druid vs. Neo4j vs. OrientDB vs. SwayDB

System Properties Comparison Apache Druid vs. Neo4j vs. OrientDB vs. SwayDB

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Editorial information provided by DB-Engines

Name

Description

Open-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality data

Open source graph database

Multi-model DBMS (Document, Graph, Key/Value)

An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage

Primary database model

Relational DBMS
Time Series DBMS

Graph DBMS

Document store
Graph DBMS
Key-value store

Key-value store

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

Score	2.67
Rank	#107	Overall
	#53	Relational DBMS
	#7	Time Series DBMS

Score	53.79
Rank	#19	Overall
	#1	Graph DBMS

Score	5.33
Rank	#68	Overall
	#10	Document stores
	#3	Graph DBMS
	#10	Key-value stores

Score	0.07
Rank	#306	Overall
	#47	Key-value stores

Website

Technical documentation

druid.apache.org/docs/latest/design

neo4j.com/docs

www.orientdb.com/docs/last/index.html

Developer

Apache Software Foundation and contributors

Neo4j, Inc.

OrientDB LTD; CallidusCloud; SAP

Simer Plaha

Initial release

2012

2007

2010

2018

Current release

0.20.0, October 2020

4.2.2, January 2021

3.1.0, June 2020

License

Commercial or Open Source

Open Source

Apache license v2

Open Source

GPL version3, commercial licenses available

Open Source

Apache version 2

Open Source

GNU Affero GPL V3.0

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.

Implementation language

Java

Java, Scala

Java

Scala

Server operating systems

Linux
OS X
Unix

Linux

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

All OS with a Java JDK (>= JDK 6)

Data scheme

yes

schema-less columns are supported

schema-free and schema-optional

schema-free

Schema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")

schema-free

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.

Secondary indexes

yes

pluggable indexing subsystem, by default Apache Lucene

yes

SQL

Support of SQL

SQL for querying

SQL-like query language, no joins

APIs and other access methods

JDBC
RESTful HTTP/JSON API

Bolt protocol
Cypher query language
Java API
Neo4j-OGM

Object Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3

Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API

Supported programming languages

Clojure
JavaScript
PHP
Python
R
Ruby
Scala

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

.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala

Java
Kotlin
Scala

Server-side scripts

Stored procedures

yes

User defined Procedures and Functions

Java, Javascript

Triggers

yes

via event handler

Hooks

Partitioning methods

Methods for storing different data on different nodes

Sharding

manual/auto, time-based

none

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes, via HDFS, S3 or other storage engines

Causal Clustering using Raft protocol

available in in Enterprise Version only

Multi-source replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

could be achieved with distributed queries

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

yes

relationship in graphs

Transaction concepts

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

ACID

Atomic execution of operations

Concurrency

Support for concurrent manipulation of data

yes

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.

yes

User concepts

Access control

RBAC using LDAP or Druid internals for users and groups for read/write by datasource and system

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

Access rights for users and roles; record level security configurable

More information provided by the system vendor

Specific characteristics

Neo4j is a native graph database platform that is built to store, query, analyze...
» more

Competitive advantages

Neo4j database is the only transactional database that combines everything you need...
» more

Typical application scenarios

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

Key customers

Over 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more

Market metrics

Neo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more

Licensing and pricing models

GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more

News

Top 10 Graph Database Use Cases: Fraud Detection
18 January 2021

This Week in Neo4j – Drawing graphs with Arrows.app, GraphSAGE, Parsing & Importing XML
16 January 2021

Mapping IoT to the Graph: 5-Minute Interview with Per Gyllstrom
15 January 2021

Announcing New Introduction to Neo4j 4.x Online Training Courses!
12 January 2021

Graph Data Platforms: Collections vs. Connections
11 January 2021

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

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

Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21 January 2014, Matthias Gelbmann

show all

Recent citations in the news

Apache Druid Adds Ranger Integration
24 August 2020, iProgrammer

decentralized AI Archives
31 December 2020, insideBIGDATA

Apache Druid Improves Compaction
4 February 2020, iProgrammer

Druid Developer Expands Query Options
17 April 2020, Datanami

Introducing Apache Druid
17 January 2020, insideBIGDATA

provided by Google News

Neo4j Poised for 2021 Growth with Top-Tier Executive Appointments
13 January 2021, PRNewswire

Graph Database Market 2020-2027 | Oracle, IBM, Microsoft, Amazon Web Services, Neo4j, TIBCO Software
14 January 2021, KSU | The Sentinel Newspaper

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5 January 2021, ComputerWeekly.com

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18 January 2021, NeighborWebSJ

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15 January 2021, Splash Radio Wales

Global NoSQL Software Market 2020 Set To See Future Growth till 2024: Key Contributors MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase, MarkLogic, RethinkDB, CouchDB, SQL-RD, OrientDB, RavenDB, Redis, Microsoft
14 January 2021, Jumbo News

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