DBMS > Oracle Berkeley DB vs. SiteWhere vs. Tibero

System Properties Comparison Oracle Berkeley DB vs. SiteWhere vs. Tibero

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Widely used in-process key-value store

M2M integration platform for persisting/querying time series data

A secure RDBMS, designed for easy portability from Oracle

Primary database model

Key-value store

supports sorted and unsorted key sets
Native XML DBMS

in the Oracle Berkeley DB XML version

Time Series DBMS

Relational DBMS

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

Score	1.71
Rank	#129	Overall
	#21	Key-value stores
	#3	Native XML DBMS

Score	0.07
Rank	#345	Overall
	#32	Time Series DBMS

Score	1.27
Rank	#156	Overall
	#70	Relational DBMS

Website

www.oracle.com/database/technologies/related/berkeleydb.html

github.com/sitewhere/sitewhere

us.tmaxsoft.com/products/tibero

Technical documentation

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

sitewhere1.sitewhere.io/index.html

technet.tmaxsoft.com/upload/download/online/tibero/pver-20150504-000002/index.html

Developer

Oracle

originally developed by Sleepycat, which was acquired by Oracle

SiteWhere

TmaxSoft

Initial release

1994

2010

2003

Current release

18.1.40, May 2020

7, September 2022

License

Commercial or Open Source

Open Source

commercial license available

Open Source

Common Public Attribution License Version 1.0

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++ (depending on the Berkeley DB edition)

Java

C and Assembler

Server operating systems

AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows

Linux
OS X
Windows

AIX
HP-UX
Linux
Solaris
Windows

Data scheme

schema-free

predefined 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

only with the Berkeley DB XML edition

yes

Secondary indexes

yes

SQL

Support of SQL

yes

SQL interfaced based on SQLite is available

yes

APIs and other access methods

HTTP REST

JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI

Supported programming languages

.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

C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic

Server-side scripts

Stored procedures

Persistent Stored Procedure (PSM)

Triggers

yes

only for the SQL API

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

based on HBase

horizontal partitioning

by range, hash, list or composite

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

selectable replication factor

based on HBase

Multi-source replication
Source-replica replication

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

planned for next version

User concepts

Access control

Users with fine-grained authorization concept

fine grained access rights according to SQL-standard (SQL 92, SQL 99)

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

Recognition For NoSQL Pioneers
5 July 2021, i-programmer.info

ACM recognizes far-reaching technical achievements with special awards
26 May 2021, EurekAlert!

Which Are the Top Local Databases for React Native
15 October 2019, appinventiv.com

Database Trends Report: SQL Beats NoSQL, MySQL Most Popular
5 March 2019, ADTmag

Fig. 2. XML Methods for Various XML DBMS Types
29 October 2024, ResearchGate

provided by Google News

SiteWhere: An open platform for connected devices
11 July 2017, Open Source For You

Fig. 7. CPU Utilization of REST and MQTT APIs with a rate 100 msg/sec.
14 October 2019, ResearchGate

Top Open-Source Tools for IoT Development in 2024
5 September 2024, Analytics Insight

Ten Popular IoT Platforms You Should be Aware of
27 March 2023, Open Source For You

11 Best Open source IoT Platforms To Develop Smart Projects
9 March 2023, H2S Media

provided by Google News

TmaxTibero eyes global expansion with certified DBMS tech
11 August 2024, The Korea Herald

How to Succeed at Large-Scale Mainframe Replatforming with TmaxSoft OpenFrame on AWS
2 August 2022, Amazon Web Services (AWS)

AIS Partners TmaxSoft to Offer Database-as-a-Service on PaaS Cloud for Enterprise Customers
7 December 2017, The Fast Mode

Hyundai and Kia Say Good-bye to Oracle and Choose Tmax as DBMS Vendor
13 June 2019, Businesskorea

TmaxSoft wins deal to supply database system
22 June 2015, The Korea Times

provided by Google News

Share this page