DBMS > Dgraph vs. VelocityDB vs. YottaDB

System Properties Comparison Dgraph vs. VelocityDB vs. YottaDB

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Editorial information provided by DB-Engines

Name

Description

Distributed and scalable native Graph DBMS

A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)

A fast and solid embedded Key-value store

Primary database model

Graph DBMS

Graph DBMS
Object oriented DBMS

Key-value store

Secondary database models

Relational DBMS

using the Octo plugin

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

Score	1.45
Rank	#156	Overall
	#15	Graph DBMS

Score	0.05
Rank	#358	Overall
	#36	Graph DBMS
	#16	Object oriented DBMS

Score	0.20
Rank	#317	Overall
	#47	Key-value stores

Website

dgraph.io

velocitydb.com

yottadb.com

Technical documentation

dgraph.io/docs

velocitydb.com/UserGuide

yottadb.com/resources/documentation

Developer

Dgraph Labs, Inc.

VelocityDB Inc

YottaDB, LLC

Initial release

2016

2011

2001

Current release

7.x

License

Commercial or Open Source

Open Source

Apache 2.0

commercial

Open Source

AGPL 3.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Server operating systems

Linux
OS X
Windows

Any that supports .NET

Docker
Linux

Data scheme

schema-free

yes

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

SQL

Support of SQL

by using the Octo plugin

APIs and other access methods

GraphQL query language
gRPC (using protocol buffers) API
HTTP API

.Net

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

.Net

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

Triggers

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

yes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Synchronous replication via Raft

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID

optimistic locking

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

Planned for future releases

Based on Windows Authentication

Users and groups based on OS-security mechanisms

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More resources

Recent citations in the news

Dgraph on AWS: Setting up a horizontally scalable graph database | Amazon Web Services
1 September 2020, AWS Blog

The 12 Best Graph Databases to Consider for 2024
22 October 2023, Solutions Review

Dgraph Rises to the Top Graph Database on GitHub With 11 G2 Badges and 11M Downloads
26 May 2021, Business Wire

Dgraph Raises $6M in Seed Funding
20 July 2022, FinSMEs

provided by Google News

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