DBMS > Bangdb vs. GBase vs. TDengine

System Properties Comparison Bangdb vs. GBase vs. TDengine

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Converged and high performance database for device data, events, time series, document and graph

Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.

Time Series DBMS and big data platform

Primary database model

Document store
Graph DBMS
Time Series DBMS

Relational DBMS

Time Series DBMS

Secondary database models

Spatial DBMS

Relational DBMS

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

Score	0.08
Rank	#344	Overall
	#48	Document stores
	#35	Graph DBMS
	#32	Time Series DBMS

Score	1.17
Rank	#169	Overall
	#77	Relational DBMS

Score	2.11
Rank	#115	Overall
	#9	Time Series DBMS

Website

bangdb.com

www.gbase.cn

github.com/taosdata/TDengine
tdengine.com

Technical documentation

docs.bangdb.com

docs.tdengine.com

Developer

Sachin Sinha, BangDB

General Data Technology Co., Ltd.

TDEngine, previously Taos Data

Initial release

2012

2004

2019

Current release

BangDB 2.0, October 2021

GBase 8a, GBase 8s, GBase 8c

3.0, August 2022

License

Commercial or Open Source

Open Source

BSD 3

commercial

Open Source

AGPL V3, also commercial editions 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, C++

C, Java, Python

Server operating systems

Linux

Linux
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes: string, long, double, int, geospatial, stream, events

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

Secondary indexes

yes

secondary, composite, nested, reverse, geospatial

yes

SQL

Support of SQL

SQL like support with command line tool

Standard with numerous extensions

Standard SQL with extensions for time-series applications

APIs and other access methods

Proprietary protocol
RESTful HTTP API

ADO.NET
C API
JDBC
ODBC

JDBC
RESTful HTTP API

Supported programming languages

C
C#
C++
Java
Python

C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust

Server-side scripts

Stored procedures

user defined functions

Triggers

yes, Notifications (with Streaming only)

yes

yes, via alarm monitoring

Partitioning methods

Methods for storing different data on different nodes

Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm

horizontal partitioning (by range, list and hash) and vertical partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor, Knob for CAP (enterprise version only)

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Tunable consistency, set CAP knob accordingly

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, optimistic concurrency control

yes

Durability

Support for making data persistent

yes, implements WAL (Write ahead log) as well

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes, run db with in-memory only mode

User concepts

Access control

yes (enterprise version only)

yes

More information provided by the system vendor

Specific characteristics

TDengine™ is a time-series database designed to help traditional industries overcome...
» more

Competitive advantages

High Performance at Any Scale: With its distributed scalable architecture that grows...
» more

Typical application scenarios

TDengine is purpose-built for Industry 4.0 and the Industrial IoT (IIoT) and particularly...
» more

Market metrics

TDengine has garnered over 23,000 stars on GitHub and is used in over 50 countries...
» more

Licensing and pricing models

TDengine OSS is free, open-source software released under the AGPLv3. TDengine Enterprise...
» more

News

By 2025, Who’s Still Not Using REAL Stream Processing?
28 November 2024

High Availability at Low Cost: Dual-Replica Mode and Active-Active Deployment
26 November 2024

Count on It! How TDengine’s Stream Processing Enhances Real-Time Data Handling
21 November 2024

Cache In, Speed Out: InfluxDB vs. TDengine in Real-Time Data
21 November 2024

Powering Predictive Maintenance with a High-Performance Time-Series Database
15 November 2024

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

Jeff Tao, TDengine: Becoming the de-facto standard IoT big data platform
4 April 2022, IoT News

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

provided by Google News

Share this page