DBMS > EsgynDB vs. HEAVY.AI vs. Kingbase

System Properties Comparison EsgynDB vs. HEAVY.AI vs. Kingbase

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Editorial information provided by DB-Engines

Name

Description

Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion

A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware

An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.

Primary database model

Relational DBMS

Secondary database models

Spatial DBMS

Document store
Spatial DBMS

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

Score	0.18
Rank	#348	Overall
	#146	Relational DBMS

Score	2.42
Rank	#126	Overall
	#61	Relational DBMS

Score	0.68
Rank	#245	Overall
	#116	Relational DBMS

Website

www.esgyn.cn

github.com/heavyai/heavydb
www.heavy.ai

www.kingbase.com.cn

Technical documentation

docs.heavy.ai

bbs.kingbase.com.cn/chess_wenku-index.html

Developer

Esgyn

HEAVY.AI, Inc.

BeiJing KINGBASE Information technologies inc.

Initial release

2015

2016

1999

Current release

5.10, January 2022

V8.0, August 2021

License

Commercial or Open Source

commercial

Open Source

Apache Version 2; enterprise edition available

commercial

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.

Implementation language

C++, Java

C++ and CUDA

C and Java

Server operating systems

Linux

Linux
Windows

Data scheme

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

Standard with numerous extensions

APIs and other access methods

ADO.NET
JDBC
ODBC

JDBC
ODBC
Thrift
Vega

ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT

Supported programming languages

All languages supporting JDBC/ODBC/ADO.Net

All languages supporting JDBC/ODBC/Thrift
Python

.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python

Server-side scripts

Stored procedures

Java Stored Procedures

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Round robin

horizontal partitioning (by range, list and hash) and vertical partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication between multi datacenters

Multi-source replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

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

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

An enterprise-class RDBMS compatible with PostgreSQL and Oracle. It has the following...
» more

Competitive advantages

Complete database management platform with Integrated Development Environment Tool,...
» more

Typical application scenarios

New applications for transactional and mixed workloads that need to integrate with...
» more

Key customers

The main customers are: China National Petroleum Corporation China Petrochemical...
» more

Market metrics

At present, the main market is in China, but expansion to the international market...
» more

Licensing and pricing models

Business license. Various sales modes: for example, sales by set, sales by CPU quantity,...
» more

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

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