DBMS > Couchbase vs. Neo4j vs. OpenEdge vs. OpenQM vs. ScyllaDB

System Properties Comparison Couchbase vs. Neo4j vs. OpenEdge vs. OpenQM vs. ScyllaDB

Editorial information provided by DB-Engines

Name

Description

A distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile database

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

Application development environment with integrated database management system

QpenQM is a high-performance, self-tuning, multi-value DBMS

Cassandra and DynamoDB compatible wide column store

Primary database model

Secondary database models

Key-value store

originating from the former Membase product and supporting the Memcached protocol
Spatial DBMS

using the Geocouch extension
Search engine
Time Series DBMS
Vector DBMS

Key-value store

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

Score	18.46
Rank	#36	Overall
	#5	Document stores

Score	44.47
Rank	#23	Overall
	#1	Graph DBMS

Score	3.75
Rank	#88	Overall
	#47	Relational DBMS

Score	0.33
Rank	#286	Overall
	#10	Multivalue DBMS

Score	5.27
Rank	#67	Overall
	#5	Wide column stores

Website

www.couchbase.com

neo4j.com

www.progress.com/openedge

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-open-qm

www.scylladb.com

Technical documentation

docs.couchbase.com

neo4j.com/docs

documentation.progress.com/output/ua/OpenEdge_latest

docs.scylladb.com

Developer

Couchbase, Inc.

Neo4j, Inc.

Progress Software Corporation

Rocket Software, originally Martin Phillips

ScyllaDB

Initial release

2011

2007

1984

1993

2015

Current release

Server: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 2023

5.18.1, March 2024

OpenEdge 12.2, March 2020

3.4-12

ScyllaDB Open Source 5.4.1, January 2024

License

Commercial or Open Source

Open Source

Business Source License (BSL 1.1); Commercial licenses also available

Open Source

GPL version3, commercial licenses available

commercial

Open Source

GPLv2, extended commercial license available

Open Source

Open Source (AGPL), commercial license available

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.

Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS

Implementation language

C, C++, Go and Erlang

Java, Scala

C++

Server operating systems

Linux
OS X
Windows

Linux

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

AIX
HP-UX
Linux
Solaris
Windows

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

Linux

Data scheme

schema-free

schema-free and schema-optional

yes

with some exceptions

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.

yes

Secondary indexes

yes

pluggable indexing subsystem, by default Apache Lucene

yes

cluster global secondary indices

SQL

Support of SQL

SQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use cases

yes

close to SQL 92

SQL-like DML and DDL statements (CQL)

APIs and other access methods

CLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data

Bolt protocol
Cypher query language
Java API
Neo4j-OGM

Object Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3

JDBC
ODBC

Proprietary protocol (CQL)

compatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift

Supported programming languages

.Net
C
Go
Java
JavaScript

Node.js
Kotlin
PHP
Python
Ruby
Scala

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

Progress proprietary ABL (Advanced Business Language)

.Net
Basic
C
Java
Objective C
PHP
Python

For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby

Server-side scripts

Stored procedures

Functions and timers in JavaScript and UDFs in Java, Python, SQL++

yes

User defined Procedures and Functions

yes

yes, Lua

Triggers

yes

via the TAP protocol

yes

via event handler

yes

Partitioning methods

Methods for storing different data on different nodes

Automatic Sharding

yes using Neo4j Fabric

horizontal partitioning

since Version 11.4

yes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

including cross data center replication
Source-replica replication

Causal Clustering using Raft protocol

available in in Enterprise Version only

Source-replica replication

yes

selectable replication factor

Representation of geographical distribution of servers is possible

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

selectable on a per-operation basis

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

Immediate Consistency

Eventual Consistency
Tunable Consistency

can be individually decided for each write operation

Foreign keys

Referential integrity

yes

Relationships in graphs

yes

Transaction concepts

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

ACID

Atomicity and isolation are supported for single 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

Ephemeral buckets

yes

in-memory tables

User concepts

Access control

User and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.

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

Users and groups

Access rights can be defined down to the item level

Access rights for users can be defined per object

More information provided by the system vendor

Specific characteristics

Neo4j delivers graph technology that has been battle tested for performance and scale...
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ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
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Competitive advantages

Neo4j is the market leader, graph database category creator, and the most widely...
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Highly-performant (efficiently utilizes full resources of a node and network; millions...
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Typical application scenarios

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

ScyllaDB is ideal for applications that require high throughput and low latency at...
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Key customers

Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
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Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more

Market metrics

Neo4j boasts the world's largest graph database ecosystem with more than 140 million...
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ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more

Licensing and pricing models

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

ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
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News

This Week in Neo4j: Podcast, RAG, Neo4j Guide, ERP and more
13 April 2024

Neo4j Brings GraphRAG Capabilities for GenAI to Google Cloud
9 April 2024

Neo4j Is Now SOC2 Type 2 Compliant
8 April 2024

This Week in Neo4j: GenAI, Workshop Recordings, Graph Data Science Book and more
6 April 2024

This Week in Neo4j: Vectors, Knowledge Graphs, Clustering, Social Networks and more
30 March 2024

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