DBMS > HugeGraph vs. OpenEdge vs. openGauss vs. SAP Adaptive Server vs. Snowflake

System Properties Comparison HugeGraph vs. OpenEdge vs. openGauss vs. SAP Adaptive Server vs. Snowflake

Editorial information provided by DB-Engines

Name

Description

A fast-speed and highly-scalable Graph DBMS

Application development environment with integrated database management system

An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei

The SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMS

Cloud-based data warehousing service for structured and semi-structured data

Primary database model

Graph DBMS

Relational DBMS

Secondary database models

Document store
Spatial DBMS

Spatial DBMS

with Boeing's Spatial Query Server

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

Score	0.17
Rank	#335	Overall
	#31	Graph DBMS

Score	3.45
Rank	#85	Overall
	#46	Relational DBMS

Score	1.06
Rank	#184	Overall
	#84	Relational DBMS

Score	35.09
Rank	#25	Overall
	#17	Relational DBMS

Score	130.36
Rank	#8	Overall
	#5	Relational DBMS

Website

github.com/hugegraph
hugegraph.apache.org

www.progress.com/openedge

gitee.com/opengauss
opengauss.org

www.sap.com/products/technology-platform/sybase-ase.html

www.snowflake.com

Technical documentation

hugegraph.apache.org/docs

documentation.progress.com/output/ua/OpenEdge_latest

docs.opengauss.org/en
gitee.com/opengauss/docs

help.sap.com/docs/SAP_ASE

docs.snowflake.net/manuals/index.html

Developer

Baidu

Progress Software Corporation

Huawei and openGauss community

SAP, Sybase

Snowflake Computing Inc.

Initial release

2018

1984

2019

1987

2014

Current release

0.9

OpenEdge 12.2, March 2020

3.0, March 2022

16.0

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

Open Source

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

C, C++, Java

C and C++

Server operating systems

Linux
macOS
Unix

AIX
HP-UX
Linux
Solaris
Windows

Linux

AIX
HP-UX
Linux
Solaris
Unix
Windows

hosted

Data scheme

yes

support of semi-structured data formats (JSON, XML, Avro)

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

also supports composite index and range index

yes

SQL

Support of SQL

yes

close to SQL 92

ANSI SQL 2011

yes

APIs and other access methods

Java API
RESTful HTTP API
TinkerPop Gremlin

JDBC
ODBC

ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)

CLI Client
JDBC
ODBC

Supported programming languages

Groovy
Java
Python

Progress proprietary ABL (Advanced Business Language)

C
C++
Java

C
C++
Cobol
Java
Java
Perl
PHP
Python

JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

asynchronous Gremlin script jobs

yes

Java and Transact-SQL

user defined functions

Triggers

yes

similar concept for controling cloud resources

Partitioning methods

Methods for storing different data on different nodes

yes

depending on used storage backend, e.g. Cassandra and HBase

horizontal partitioning

since Version 11.4

horizontal partitioning (by range, list and hash)

horizontal partitioning

yes

Replication methods

Methods for redundantly storing data on multiple nodes

yes

depending on used storage backend, e.g. Cassandra and HBase

Source-replica replication

Multi-source replication
Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

via hugegraph-spark

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

edges in graph

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

Users, roles and permissions

Users and groups

Access rights for users, groups and roles according to SQL-standard

fine grained access rights according to SQL-standard

Users with fine-grained authorization concept, user roles and pluggable authentication

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