DBMS > Apache IoTDB vs. UniData,UniVerse

System Properties Comparison Apache IoTDB vs. UniData,UniVerse

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Editorial information provided by DB-Engines

Name

Description

An IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and Flink

MultiValue database and application server with SQL mapping layer and meta database capabilities

Primary database model

Time Series DBMS

Multivalue DBMS

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Trend Chart

Score	0.76
Rank	#263	Overall
	#21	Time Series DBMS

Score	4.45
Rank	#89	Overall
	#2	Multivalue DBMS

Website

iotdb.apache.org

www.rocketsoftware.com/products/rocket-u2

Technical documentation

iotdb.apache.org/UserGuide/Master/QuickStart/QuickStart.html

www.rocketsoftware.com/products/rocket-u2/documentation

Developer

Apache Software Foundation

Rocket Software

Initial release

2018

1985

Current release

1.1.0, April 2023

License

Commercial or Open Source

Open Source

Apache Version 2.0

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

Java

Server operating systems

All OS with a Java VM (>= 1.8)

AIX
HP-UX
Linux
Solaris
Windows

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

optional

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

yes

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

JDBC
Native API

Java API

JPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API

Supported programming languages

C
C#
C++
Go
Java
Python
Scala

.Net
Basic

U2 Basic
C
Java

Server-side scripts

Stored procedures

yes

Triggers

yes

U2 Basic

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by time range) + vertical partitioning (by deviceId)

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicas

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Integration with Hadoop and Spark

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Strong Consistency with Raft

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

configurable

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

yes

Access rights according to SQL-standard and operating system based

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More resources

Recent citations in the news

Apache IoTDB 1.1 Released For Open-Source Time-Series Database
3 April 2023, Phoronix

Apache IoTDB 1.0 Released As An "Internet of Things Database"
4 December 2022, Phoronix

KDevelop 5.6 IDE Brings Better Stability, Performance
7 September 2020, Phoronix

provided by Google News

Unidata, admission to trading on Euronext Milan
2 June 2023, Marketscreener.com

Italy Data Center Portfolio Report 2023: Detailed Analysis of 63 Existing Data Centers and 9 Upcoming Data Centers Featuring Key Investors and Operators
29 May 2023, Yahoo Finance

UniData
5 March 2019, International Spectrum Magazine

Data + software services
21 August 2018, UCAR

Unidata
11 June 2014, youtube.com

provided by Google News

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