DBMS > AgensGraph vs. Alibaba Cloud TSDB vs. Cubrid vs. Sphinx

System Properties Comparison AgensGraph vs. Alibaba Cloud TSDB vs. Cubrid vs. Sphinx

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Editorial information provided by DB-Engines

Name

Description

Multi-model database supporting relational and graph data models and built upon PostgreSQL

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

Open source search engine for searching in data from different sources, e.g. relational databases

Primary database model

Graph DBMS
Relational DBMS

Time Series DBMS

Relational DBMS

Search engine

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

Score	0.20
Rank	#321	Overall
	#27	Graph DBMS
	#143	Relational DBMS

Score	0.24
Rank	#306	Overall
	#26	Time Series DBMS

Score	1.20
Rank	#169	Overall
	#78	Relational DBMS

Score	5.98
Rank	#56	Overall
	#5	Search engines

Website

bitnine.net/agensgraph

www.alibabacloud.com/product/hitsdb

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

sphinxsearch.com

Technical documentation

bitnine.net/documentation

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

cubrid.org/manuals

sphinxsearch.com/docs

Developer

Bitnine Global Inc.

Alibaba

CUBRID Corporation, CUBRID Foundation

Sphinx Technologies Inc.

Initial release

2016

2008

2001

Current release

2.1, December 2018

11.0, January 2021

3.5.1, February 2023

License

Commercial or Open Source

Open Source

Apache License 2.0

commercial

Open Source

Apache Version 2.0

Open Source

GPL version 2, commercial licence available

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

C, C++, Java

C++

Server operating systems

Linux
OS X
Windows

hosted

Linux
Windows

FreeBSD
Linux
NetBSD
OS X
Solaris
Windows

Data scheme

depending on used data model

schema-free

yes

Typing

predefined data types such as float or date

yes

Numeric data and Strings

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

full-text index on all search fields

SQL

Support of SQL

yes

SQL-like query language (SphinxQL)

APIs and other access methods

Cypher Query Language
JDBC

HTTP REST

ADO.NET
JDBC
ODBC
OLE DB

Proprietary protocol

Supported programming languages

C
Java
JavaScript
Python

Java

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

C++

unofficial client library
Java
Perl

unofficial client library
PHP
Python
Ruby

unofficial client library

Server-side scripts

Stored procedures

yes

Java Stored Procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

no, but can be realized using table inheritance

none

Sharding

Partitioning is done manually, search queries against distributed index is supported

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

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

The original contents of fields are not stored in the Sphinx index.

In-memory capabilities

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

User concepts

Access control

fine grained access rights according to SQL-standard

Access managed on TSDB instance level

fine grained access rights according to SQL-standard

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More resources

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