DBMS > Bangdb vs. GridGain vs. Neo4j vs. OrientDB

System Properties Comparison Bangdb vs. GridGain vs. Neo4j vs. OrientDB

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Editorial information provided by DB-Engines

Name

Description

Converged and high performance database for device data, events, time series, document and graph

GridGain is an in-memory computing platform, built on Apache Ignite

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

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

Primary database model

Document store
Graph DBMS
Time Series DBMS

Key-value store
Relational DBMS

Graph DBMS

Document store
Graph DBMS
Key-value store

Secondary database models

Spatial DBMS

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

Score	0.11
Rank	#318	Overall
	#43	Document stores
	#30	Graph DBMS
	#28	Time Series DBMS

Score	2.08
Rank	#125	Overall
	#25	Key-value stores
	#61	Relational DBMS

Score	59.35
Rank	#19	Overall
	#1	Graph DBMS

Score	5.21
Rank	#78	Overall
	#15	Document stores
	#5	Graph DBMS
	#12	Key-value stores

Website

Technical documentation

bangdb.com/developer

www.gridgain.com/docs/latest

neo4j.com/docs

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

Developer

Sachin Sinha, BangDB

GridGain Systems, Inc.

Neo4j, Inc.

OrientDB LTD; CallidusCloud; SAP

Initial release

2012

2007

2010

Current release

BangDB 2.0, October 2021

GridGain 8.5.1

4.4.10, August 2022

3.1.9, February 2021

License

Commercial or Open Source

Open Source

BSD 3

commercial

Open Source

GPL version3, commercial licenses available

Open Source

Apache version 2

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.

Implementation language

C, C++

Java, C++, .Net

Java, Scala

Java

Server operating systems

Linux

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 JDK (>= JDK 6)

Data scheme

schema-free

yes

schema-free and schema-optional

schema-free

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

Typing

predefined data types such as float or date

yes: string, long, double, int, geospatial, stream, events

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

secondary, composite, nested, reverse, geospatial

yes

pluggable indexing subsystem, by default Apache Lucene

yes

SQL

Support of SQL

SQL like support with command line tool

ANSI-99 for query and DML statements, subset of DDL

SQL-like query language, no joins

APIs and other access methods

Proprietary protocol
RESTful HTTP API

HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data

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

C
C#
C++
Java
Python

C#
C++
Java
PHP
Python
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

Server-side scripts

Stored procedures

yes (compute grid and cache interceptors can be used instead)

yes

User defined Procedures and Functions

Java, Javascript

Triggers

yes, Notifications (with Streaming only)

yes (cache interceptors and events)

yes

via event handler

Hooks

Partitioning methods

Methods for storing different data on different nodes

Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm

Sharding

yes using Neo4j Fabric

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor, Knob for CAP (enterprise version only)

yes (replicated cache)

Causal Clustering using Raft protocol

available in in Enterprise Version only

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes (compute grid and hadoop accelerator)

could be achieved with distributed queries

Consistency concepts

Methods to ensure consistency in a distributed system

Tunable consistency, set CAP knob accordingly

Immediate Consistency

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

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

Concurrency

Support for concurrent manipulation of data

yes, optimistic concurrency control

yes

Durability

Support for making data persistent

yes, implements WAL (Write ahead log) as well

yes

In-memory capabilities

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

yes, run db with in-memory only mode

yes

User concepts

Access control

yes (enterprise version only)

Security Hooks for custom implementations

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

BangDB is a converged NoSql database platform which natively integrated streaming,...
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Neo4j delivers graph technology that has been battle tested for performance and scale...
» more

Competitive advantages

Converged Platform to break silos for higher scale and performance BangDB is a novel...
» more

Neo4j is the market leader, graph database category creator, and the most widely...
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Typical application scenarios

IOT and time series data monitoring Devops, servers, network monitoring Real-Time...
» more

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

Key customers

Cisco, Accenture, Opera, Airpay, CtrlS, makemytrip, wine central, over 150 SaaS customers
» more

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

BangDB is one of the fastest databases in the marke with over 2X performance over...
» more

Neo4j boasts the world's largest graph database ecosystem with more than 140 million...
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Licensing and pricing models

BangDB community and enterprise model. Details at https://bangdb.com/pricing/
» more

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

Analyst Perspective on Graph Databases and Neo4j AuraDS
17 August 2022

Using Graph Technology for Environmental Data Compliance and Implementation
15 August 2022

This Week in Neo4j: GraphQL, Low Code, Cybersecurity, Graph Refactoring, and More
13 August 2022

Neo4j Graph Framework and Project Assessment
11 August 2022

How Graphs Power OpenSanctions: The 5-Minute Interview with Friedrich Lindenberg
10 August 2022

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