DBMS > Alibaba Cloud TSDB vs. Cubrid vs. FoundationDB vs. TerminusDB vs. Yanza

System Properties Comparison Alibaba Cloud TSDB vs. Cubrid vs. FoundationDB vs. TerminusDB vs. Yanza

Editorial information provided by DB-Engines

Name

Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.

Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

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

CUBRID is an open-source SQL-based relational database management system with object extensions for OLTP

Ordered key-value store. Core features are complimented by layers.

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

Time Series DBMS for IoT Applications

Primary database model

Time Series DBMS

Relational DBMS

Document store

supported via specific layer
Key-value store
Relational DBMS

supported via specific SQL-layer

Graph DBMS

Time Series DBMS

Secondary database models

Document store
RDF store

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

Score	0.24
Rank	#306	Overall
	#26	Time Series DBMS

Score	1.20
Rank	#169	Overall
	#78	Relational DBMS

Score	1.03
Rank	#190	Overall
	#31	Document stores
	#28	Key-value stores
	#89	Relational DBMS

Score	0.17
Rank	#325	Overall
	#29	Graph DBMS

Website

www.alibabacloud.com/product/hitsdb

cubrid.com (korean)
cubrid.org (english)

github.com/apple/foundationdb

terminusdb.com

yanza.com

Technical documentation

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

cubrid.org/manuals

apple.github.io/foundationdb

terminusdb.github.io/terminusdb/#

Developer

Alibaba

CUBRID Corporation, CUBRID Foundation

FoundationDB

DataChemist Ltd.

Yanza

Initial release

2008

2013

2018

2015

Current release

11.0, January 2021

6.2.28, November 2020

11.0.0, January 2023

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

Open Source

Apache 2.0

Open Source

GPL V3

commercial

free version available

Cloud-based only

Only available as a cloud service

yes

but mainly used as a service provided by Yanza

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C, C++, Java

C++

Prolog, Rust

Server operating systems

hosted

Linux
Windows

Linux
OS X
Windows

Linux

Windows

Data scheme

schema-free

yes

schema-free

some layers support schemas

yes

schema-free

Typing

predefined data types such as float or date

Numeric data and Strings

yes

some layers support typing

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

yes

supported in specific SQL layer only

SQL-like query language (WOQL)

APIs and other access methods

HTTP REST

ADO.NET
JDBC
ODBC
OLE DB

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

HTTP API

Supported programming languages

Java

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

.Net
C
C++
Go
Java
JavaScript

Node.js
PHP
Python
Ruby
Swift

JavaScript
Python

any language that supports HTTP calls

Server-side scripts

Stored procedures

Java Stored Procedures

in SQL-layer only

yes

Triggers

yes

Timer and event based

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Graph Partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes

Journaling Streams

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Linearizable consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

in SQL-layer only

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 journaling

yes

In-memory capabilities

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

User concepts

Access control

Access managed on TSDB instance level

fine grained access rights according to SQL-standard

Role-based access control

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