DBMS > Alibaba Cloud TSDB vs. Cubrid vs. EventStoreDB vs. Lovefield vs. Vitess

System Properties Comparison Alibaba Cloud TSDB vs. Cubrid vs. EventStoreDB vs. Lovefield vs. Vitess

Editorial information provided by DB-Engines

Name

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

Industrial-strength, open-source database solution built from the ground up for event sourcing.

Embeddable relational database for web apps written in pure JavaScript

Scalable, distributed, cloud-native DBMS, extending MySQL

Primary database model

Secondary database models

Document store
Spatial DBMS

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

Score	0.23
Rank	#300	Overall
	#24	Time Series DBMS

Score	0.97
Rank	#189	Overall
	#86	Relational DBMS

Score	1.07
Rank	#181	Overall
	#1	Event Stores

Score	0.22
Rank	#306	Overall
	#138	Relational DBMS

Score	0.86
Rank	#202	Overall
	#95	Relational DBMS

Website

www.alibabacloud.com/product/hitsdb

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

www.eventstore.com

google.github.io/lovefield

vitess.io

Technical documentation

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

cubrid.org/manuals

developers.eventstore.com

github.com/google/lovefield/blob/master/docs/spec_index.md

vitess.io/docs

Developer

Alibaba

CUBRID Corporation, CUBRID Foundation

Event Store Limited

Google

The Linux Foundation, PlanetScale

Initial release

2008

2012

2014

2013

Current release

11.0, January 2021

21.2, February 2021

2.1.12, February 2017

15.0.2, December 2022

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

Open Source

Apache 2.0

Open Source

Apache Version 2.0, commercial licenses 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

JavaScript

Server operating systems

hosted

Linux
Windows

server-less, requires a JavaScript environment (browser, Node.js)

tested with Chrome, Firefox, IE, Safari

Docker
Linux
macOS

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

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

SQL

Support of SQL

yes

SQL-like query language

via JavaScript builder pattern

yes

with proprietary extensions

APIs and other access methods

HTTP REST

ADO.NET
JDBC
ODBC
OLE DB

ADO.NET
JDBC
MySQL protocol
ODBC

Supported programming languages

Java

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

JavaScript

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

Server-side scripts

Stored procedures

Java Stored Procedures

yes

proprietary syntax

Triggers

yes

Using read-only observers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency across shards
Immediate Consistency within a shard

Foreign keys

Referential integrity

yes

not for MyISAM storage engine

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

ACID at shard level

Concurrency

Support for concurrent manipulation of data

yes

table locks or row locks depending on storage engine

Durability

Support for making data persistent

yes

yes, by using IndexedDB or the cloud service Firebase Realtime Database

yes

In-memory capabilities

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

yes

using MemoryDB

yes

User concepts

Access control

Access managed on TSDB instance level

fine grained access rights according to SQL-standard

Users with fine-grained authorization concept

no user groups or roles

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