DBMS > Apache IoTDB vs. GBase vs. Linter

System Properties Comparison Apache IoTDB vs. GBase vs. Linter

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Editorial information provided by DB-Engines

Name

Description

A lightweight IoT native database management system deployable on the device and syncing the collected data with the cloud and integrated with Hadoop and Spark

An analytical database for business intelligence with large customers in China.

RDBMS for high security requirements

Primary database model

Time Series DBMS

Relational DBMS

Secondary database models

Spatial DBMS

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

Score	0.17
Rank	#286	Overall
	#25	Time Series DBMS

Score	1.01
Rank	#165	Overall
	#83	Relational DBMS

Score	0.12
Rank	#299	Overall
	#135	Relational DBMS

Website

iotdb.apache.org

www.gbase8a.com

linter.ru/en

Developer

Apache Software Foundation

relex.ru/en

Initial release

2018

1990

Current release

GBase 8a

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

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Implementation language

Java

C and C++

Server operating systems

All OS with a Java VM (>= 1.8)

AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
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.

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

JDBC

ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)

Supported programming languages

C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl

Server-side scripts

Stored procedures

yes

proprietary syntax with the possibility to convert from PL/SQL

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

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 with synchronizing with the cloud

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

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More resources

Recent citations in the news

The Apache Software Foundation Announces Apache® IoTDB™ as a Top-Level Project
23 September 2020, GlobeNewswire

Apache IoTDB now a Top-Level Project at ASF
23 September 2020, SDTimes.com

Apache Promotes IoT Database Project
25 September 2020, Datanami

The Apache® Software Foundation Welcomes its Global Community Online at ApacheCon@Home
21 September 2020, GlobeNewswire

What's the point: CUDA, PyCharm, CLion, IoTDB, Instana, Spring Tools, and OpenShift • DEVCLASS
24 September 2020, DevClass

provided by Google News

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