DBMS > ITTIA vs. PouchDB vs. StarRocks

System Properties Comparison ITTIA vs. PouchDB vs. StarRocks

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Editorial information provided by DB-Engines

Name

Description

Edge Time Series DBMS with Real-Time Stream Processing

JavaScript DBMS with an API inspired by CouchDB

An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics

Forked from Apache Doris

Primary database model

Time Series DBMS

Document store

Relational DBMS

Secondary database models

Relational DBMS

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

Score	0.39
Rank	#273	Overall
	#24	Time Series DBMS

Score	2.28
Rank	#115	Overall
	#21	Document stores

Score	1.04
Rank	#189	Overall
	#88	Relational DBMS

Website

www.ittia.com

pouchdb.com

www.starrocks.io

Technical documentation

pouchdb.com/guides

docs.starrocks.io/en-us/latest/introduction/StarRocks_intro

Developer

ITTIA L.L.C.

Apache Software Foundation

The Linux Foundation

since Feb 2023

Initial release

2007

2012

2020

Current release

8.7

7.1.1, June 2019

2.5.3, March 2023

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

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 and C++

JavaScript

C++, Java

Server operating systems

Linux
Windows

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

Linux

Data scheme

Fixed schema

schema-free

yes

Typing

predefined data types such as float or date

Float/Blob/Integer/String/Unicode/Date/Time/Timestamp/Interval

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

via views

yes

SQL

Support of SQL

yes

APIs and other access methods

JDBC
ODBC
RESTful HTTP API
WebSocket

HTTP REST

only for PouchDB Server
JavaScript API

JDBC
MySQL protocol

Supported programming languages

C
C++
JavaScript (Node.js)
Python

JavaScript

Java

Server-side scripts

Stored procedures

yes

View functions in JavaScript

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

with a proxy-based framework, named couchdb-lounge

horizontal partitioning (by range and hash)

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication

also with CouchDB databases
Source-replica replication

also with CouchDB databases

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

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

Database file passwords

Role based access control and fine grained access rights

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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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