DBMS > EsgynDB vs. HEAVY.AI vs. Oracle Berkeley DB

System Properties Comparison EsgynDB vs. HEAVY.AI vs. Oracle Berkeley DB

Please select another system to include it in the comparison.

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

Widely used in-process key-value store

Primary database model

Relational DBMS

Key-value store

supports sorted and unsorted key sets
Native XML DBMS

in the Oracle Berkeley DB XML version

Secondary database models

Spatial DBMS

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

Score	0.17
Rank	#363	Overall
	#152	Relational DBMS

Score	2.68
Rank	#123	Overall
	#61	Relational DBMS

Score	3.24
Rank	#102	Overall
	#19	Key-value stores
	#3	Native XML DBMS

Website

www.esgyn.cn

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

www.oracle.com/technetwork/database/database-technologies/berkeleydb/overview/index.html

Technical documentation

docs.heavy.ai

docs.oracle.com/cd/E17076_05/html/index.html

Developer

Esgyn

HEAVY.AI, Inc.

Oracle

originally developed by Sleepycat, which was acquired by Oracle

Initial release

2015

2016

1994

Current release

5.10, January 2022

18.1.40, May 2020

License

Commercial or Open Source

commercial

Open Source

Apache Version 2; enterprise edition available

Open Source

commercial license available

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, Java, C++ (depending on the Berkeley DB edition)

Server operating systems

Linux

AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows

Data scheme

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.

yes

only with the Berkeley DB XML edition

Secondary indexes

yes

SQL

Support of SQL

yes

SQL interfaced based on SQLite is available

APIs and other access methods

ADO.NET
JDBC
ODBC

JDBC
ODBC
Thrift
Vega

Supported programming languages

All languages supporting JDBC/ODBC/ADO.Net

All languages supporting JDBC/ODBC/Thrift
Python

.Net

Figaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others

Third-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js)

3rd party binding
Perl
Python
Tcl

Server-side scripts

Stored procedures

Java Stored Procedures

Triggers

yes

only for the SQL API

Partitioning methods

Methods for storing different data on different nodes

Sharding

Round robin

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication between multi datacenters

Multi-source replication

Source-replica replication

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

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

The insideBIGDATA IMPACT 50 List for Q1 2023
17 January 2023, insideBIGDATA

The insideBIGDATA IMPACT 50 List for Q4 2022
12 October 2022, insideBIGDATA

GPU Database Global Market Report 2022: Increasing Preference of ...
9 November 2022, businesswire.com

Leveraging the fall of crypto mining
17 December 2022, VentureBeat

Geospatial data a key means of combating climate change
18 August 2022, TechTarget

provided by Google News

Lowcountry NFL Update - Week 7
26 October 2022, Live 5 News WCSC

Oracle switches Berkeley DB license
5 July 2013, InfoWorld

Lowcountry NFL Update (Week 3)
29 September 2022, Live 5 News WCSC

Lowcountry NFL Update (Week 8)
1 November 2022, Live 5 News WCSC

Lowcountry NFL Update (Week 4)
9 October 2022, Live 5 News WCSC

provided by Google News

Job opportunities

Manager, Application Architect - DAS Enterprise Risk Management
Deloitte, Columbia, SC

Manager, Application Architect - DAS Enterprise Risk Management
Deloitte, St. Louis, MO

Manager, Application Architect - DAS Enterprise Risk Management
Deloitte, Bentonville, AR

Manager, Application Architect - DAS Enterprise Risk Management
Deloitte, Fort Worth, TX

Manager, Application Architect - DAS Enterprise Risk Management
Deloitte, New Orleans, LA

Senior Data Analyst (Remote)
Cambridge Technology Enterprises (CTE), Remote

Senior Big Data Engineer (Remote)
Cambridge Technology Enterprises (CTE), Remote

jobs by

Share this page