DBMS > SiteWhere vs. Ultipa vs. WakandaDB

System Properties Comparison SiteWhere vs. Ultipa vs. WakandaDB

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Editorial information provided by DB-Engines

Name

Description

M2M integration platform for persisting/querying time series data

High performance Graph DBMS supporting HTAP high availability cluster deployment

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

Primary database model

Time Series DBMS

Graph DBMS

Object oriented DBMS

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

Score	0.06
Rank	#383	Overall
	#43	Time Series DBMS

Score	0.19
Rank	#330	Overall
	#30	Graph DBMS

Score	0.10
Rank	#356	Overall
	#17	Object oriented DBMS

Website

github.com/sitewhere/sitewhere

www.ultipa.com

wakanda.github.io

Technical documentation

sitewhere1.sitewhere.io/index.html

www.ultipa.com/document

wakanda.github.io/doc

Developer

SiteWhere

Ultipa

Wakanda SAS

Initial release

2010

2019

2012

Current release

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

Open Source

Common Public Attribution License Version 1.0

commercial

Open Source

AGPLv3, extended commercial license available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

C++, JavaScript

Server operating systems

Linux
OS X
Windows

Data scheme

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.

Secondary indexes

SQL

Support of SQL

APIs and other access methods

HTTP REST

RESTful HTTP API

Supported programming languages

C++
Go
Java
JavaScript (Node.js)
Python

JavaScript

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on HBase

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

based on HBase

none

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

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.

User concepts

Access control

Users with fine-grained authorization concept

yes

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More resources

Recent citations in the news

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

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

provided by Google News

High-performance computing's role in real-time graph analytics - DataScienceCentral.com
30 January 2024, Data Science Central

provided by Google News

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