DBMS > Alibaba Cloud TSDB vs. GraphDB vs. openGemini

System Properties Comparison Alibaba Cloud TSDB vs. GraphDB vs. openGemini

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Editorial information provided by DB-Engines

Name

Description

A stable, reliable, and cost-effective online high-performance time series database service

Enterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.

An open source distributed Time Series DBMS with high concurrency, high performance, and high scalability

Primary database model

Time Series DBMS

Graph DBMS
RDF store

Time Series DBMS

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

Score	0.22
Rank	#304	Overall
	#24	Time Series DBMS

Score	2.68
Rank	#94	Overall
	#7	Graph DBMS
	#3	RDF stores

Score	0.04
Rank	#366	Overall
	#39	Time Series DBMS

Website

www.alibabacloud.com/product/hitsdb

www.ontotext.com

www.opengemini.org
github.com/openGemini

Technical documentation

www.alibabacloud.com/help/en/time-series-database/latest/what-is-tsdb

graphdb.ontotext.com/documentation

docs.opengemini.org/guide

Social network pages

Developer

Alibaba

Ontotext

Huawei and openGemini community

Initial release

2000

2022

Current release

10.4, October 2023

1.1, July 2023

License

Commercial or Open Source

commercial

Some plugins of GraphDB Workbench are open sourced

Open Source

Apache Version 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Server operating systems

hosted

All OS with a Java VM
Linux
OS X
Windows

Linux
Windows

Data scheme

schema-free

schema-free and OWL/RDFS-schema support; RDF shapes

schema-free

Typing

predefined data types such as float or date

Numeric data and Strings

yes

Integer, Float, Boolean, String

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, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexes

yes

SQL

Support of SQL

stored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBC

SQL-like query language

APIs and other access methods

HTTP REST

GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1

HTTP REST

Supported programming languages

Java

.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

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

Server-side scripts

Stored procedures

well-defined plugin interfaces; JavaScript server-side extensibility

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)

Foreign keys

Referential integrity

yes

Constraint checking

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

Access managed on TSDB instance level

Default Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.

Administrators and common users accounts

More information provided by the system vendor

Specific characteristics

Ontotext GraphDB is a semantic database engine that allows organizations to build...
» more

Competitive advantages

GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more

Typical application scenarios

Metadata enrichment and management, linked data publishing, semantic inferencing...
» more

Key customers

GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more

Market metrics

GraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more

Licensing and pricing models

GraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more

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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

Recent citations in the news

Revolutionizing Success in the Time Series Database(TSDB)
7 March 2025, openPR

provided by Google News

Semantic Web Company and Ontotext Merge to Create Knowledge Graph and AI Powerhouse Graphwise
23 October 2024, PR Newswire

Semantic Web Company and Ontotext merge to form Graphwise
23 October 2024, Blocks and Files

A Content Management Platform and a Graph Database Come Together in the New Company: Graphwise
28 October 2024, The Recursive

Major AI Merger: Bulgarian Ontotext merges with Semantic Web Company to form Graphwise
24 October 2024, Trending Topics SEE

Knowledge graphs change the nature of business intelligence
8 April 2024, TechHQ

provided by Google News

Huawei OpenGemini cloud series joined OpenEuler
17 March 2023, HC Newsroom

Open Source @ Huawei
9 February 2022, Huawei

provided by Google News

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