DBMS > GBase vs. TDengine vs. Titan

System Properties Comparison GBase vs. TDengine vs. Titan

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Editorial information provided by DB-Engines

Name

Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.

Description

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

Time Series DBMS and big data platform

Titan is a Graph DBMS optimized for distributed clusters.

Primary database model

Relational DBMS

Time Series DBMS

Graph DBMS

Secondary database models

Relational DBMS

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

Score	1.17
Rank	#169	Overall
	#77	Relational DBMS

Score	2.11
Rank	#115	Overall
	#9	Time Series DBMS

Website

www.gbase.cn

github.com/taosdata/TDengine
tdengine.com

github.com/thinkaurelius/titan

Technical documentation

docs.tdengine.com

github.com/thinkaurelius/titan/wiki

Developer

General Data Technology Co., Ltd.

TDEngine, previously Taos Data

Aurelius, owned by DataStax

Initial release

2004

2019

2012

Current release

GBase 8a, GBase 8s, GBase 8c

3.0, August 2022

License

Commercial or Open Source

commercial

Open Source

AGPL V3, also commercial editions available

Open Source

Apache license, version 2.0

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, Python

Java

Server operating systems

Linux

Linux
Windows

Linux
OS X
Unix
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.

yes

Secondary indexes

yes

SQL

Support of SQL

Standard with numerous extensions

Standard SQL with extensions for time-series applications

APIs and other access methods

ADO.NET
C API
JDBC
ODBC

JDBC
RESTful HTTP API

Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster

Supported programming languages

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

Clojure
Java
Python

Server-side scripts

Stored procedures

user defined functions

yes

Triggers

yes

yes, via alarm monitoring

yes

Partitioning methods

Methods for storing different data on different nodes

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

Sharding

yes

via pluggable storage backends

Replication methods

Methods for redundantly storing data on multiple nodes

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via Faunus, a graph analytics engine

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graph

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

Supports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast

User concepts

Access control

yes

User authentification and security via Rexster Graph Server

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

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources

DB-Engines blog posts

Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21 January 2014, Matthias Gelbmann

show all

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

DataStax Acquires Aurelius and its TitanDB Graph Database
31 May 2024, Data Center Knowledge

Performance Tuning Your Titan Graph Database on AWS
14 December 2015, AWS Blog

Titan Graph Database Integration with DynamoDB: World-class Performance, Availability, and Scale for New Workloads
20 August 2015, All Things Distributed

Building a Graph Database on AWS Using Amazon DynamoDB and Titan
22 October 2015, AWS Blog

Database Deep Dives: JanusGraph
8 August 2019, ibm.com

provided by Google News

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