DBMS > OpenMLDB vs. PouchDB vs. Sequoiadb vs. TerarkDB

System Properties Comparison OpenMLDB vs. PouchDB vs. Sequoiadb vs. TerarkDB

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Editorial information provided by DB-Engines

Name

Description

An open-source machine learning database that provides a feature platform for training and inference

JavaScript DBMS with an API inspired by CouchDB

NewSQL database with distributed OLTP and SQL

A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB

Primary database model

Time Series DBMS

Document store

Document store
Relational DBMS

Key-value store

Secondary database models

Relational DBMS

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

Score	0.02
Rank	#367	Overall
	#37	Time Series DBMS

Score	2.28
Rank	#115	Overall
	#21	Document stores

Score	0.45
Rank	#261	Overall
	#41	Document stores
	#122	Relational DBMS

Score	0.00
Rank	#383	Overall
	#60	Key-value stores

Website

openmldb.ai

pouchdb.com

www.sequoiadb.com

github.com/bytedance/terarkdb

Technical documentation

openmldb.ai/docs/zh/main

pouchdb.com/guides

www.sequoiadb.com/en/index.php?m=Files&a=index

bytedance.larkoffice.com/docs/doccnZmYFqHBm06BbvYgjsHHcKc

Developer

4 Paradigm Inc.

Apache Software Foundation

Sequoiadb Ltd.

ByteDance, originally Terark

Initial release

2020

2012

2013

2016

Current release

2024-2 February 2024

7.1.1, June 2019

License

Commercial or Open Source

Open Source

Server: AGPL; Client: Apache V2

commercial

restricted open source version available

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, Scala

JavaScript

C++

Server operating systems

Linux

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

Linux

Data scheme

Fixed schema

schema-free

Typing

predefined data types such as float or date

yes

oid, date, timestamp, binary, regex

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

via views

yes

SQL

Support of SQL

yes

SQL-like query language

APIs and other access methods

JDBC
SQLAlchemy

HTTP REST

only for PouchDB Server
JavaScript API

proprietary protocol using JSON

C++ API
Java API

Supported programming languages

C++
Go
Java
Python
Scala

JavaScript

.Net
C++
Java
PHP
Python

C++
Java

Server-side scripts

Stored procedures

View functions in JavaScript

JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Sharding

with a proxy-based framework, named couchdb-lounge

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

Multi-source replication

also with CouchDB databases
Source-replica replication

also with CouchDB databases

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

Document is locked during a transaction

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using IndexedDB, WebSQL or LevelDB as backend

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

fine grained access rights according to SQL-standard

simple password-based access control

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More resources

DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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