DBMS > Dgraph vs. OpenEdge vs. SAP HANA vs. VelocityDB

System Properties Comparison Dgraph vs. OpenEdge vs. SAP HANA vs. VelocityDB

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Editorial information provided by DB-Engines

Name

Description

Distributed and scalable native Graph DBMS

Application development environment with integrated database management system

In-memory, column based data store. Available as appliance or cloud service

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

Primary database model

Graph DBMS

Relational DBMS

Graph DBMS
Object oriented DBMS

Secondary database models

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

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

Score	1.45
Rank	#156	Overall
	#15	Graph DBMS

Score	3.51
Rank	#86	Overall
	#46	Relational DBMS

Score	44.69
Rank	#22	Overall
	#16	Relational DBMS

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

Website

dgraph.io

www.progress.com/openedge

www.sap.com/products/hana.html

velocitydb.com

Technical documentation

dgraph.io/docs

documentation.progress.com/output/ua/OpenEdge_latest

help.sap.com/hana

velocitydb.com/UserGuide

Developer

Dgraph Labs, Inc.

Progress Software Corporation

SAP

VelocityDB Inc

Initial release

2016

1984

2010

2011

Current release

OpenEdge 12.2, March 2020

2.0 SPS07 (April 4, 2023), April 2023

7.x

License

Commercial or Open Source

Open Source

Apache 2.0

commercial

Cloud-based only

Only available as a cloud service

also available as a cloud based service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Server operating systems

Linux
OS X
Windows

AIX
HP-UX
Linux
Solaris
Windows

Appliance or cloud-service

Any that supports .NET

Data scheme

schema-free

yes

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

SQL

Support of SQL

yes

close to SQL 92

yes

APIs and other access methods

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

JDBC
ODBC

.Net

Supported programming languages

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

Progress proprietary ABL (Advanced Business Language)

.Net

Server-side scripts

Stored procedures

yes

SQLScript, R

Triggers

yes

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

yes

horizontal partitioning

since Version 11.4

yes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Synchronous replication via Raft

Source-replica replication

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

yes

Transaction concepts

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

ACID

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

Users and groups

yes

Based on Windows Authentication

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