DBMS > Derby vs. Impala vs. PouchDB

System Properties Comparison Derby vs. Impala vs. PouchDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

Analytic DBMS for Hadoop

JavaScript DBMS with an API inspired by CouchDB

Primary database model

Relational DBMS

Document store

Secondary database models

Document store

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

Score	5.21
Rank	#79	Overall
	#42	Relational DBMS

Score	17.56
Rank	#40	Overall
	#25	Relational DBMS

Score	3.33
Rank	#100	Overall
	#20	Document stores

Website

db.apache.org/derby

www.cloudera.com/products/open-source/apache-hadoop/impala.html

pouchdb.com

Technical documentation

db.apache.org/derby/manuals/index.html

docs.cloudera.com/documentation/enterprise/latest/topics/impala.html

pouchdb.com/guides

Developer

Apache Software Foundation

Cloudera

Apache Software Foundation

Initial release

1997

2013

2012

Current release

10.15.2.0, March 2020

4.0.0, July 2021

7.1.1, June 2019

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

Apache Version 2

Open Source

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

Java

C++

JavaScript

Server operating systems

All OS with a Java VM

Linux

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

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

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.

yes

Secondary indexes

yes

via views

SQL

Support of SQL

yes

SQL-like DML and DDL statements

APIs and other access methods

JDBC

JDBC
ODBC

HTTP REST

only for PouchDB Server
JavaScript API

Supported programming languages

Java

All languages supporting JDBC/ODBC

JavaScript

Server-side scripts

Stored procedures

Java Stored Procedures

yes

user defined functions and integration of map-reduce

View functions in JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

with a proxy-based framework, named couchdb-lounge

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

selectable replication factor

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

query execution via MapReduce

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual 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

by using IndexedDB, WebSQL or LevelDB as backend

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

Access rights for users, groups and roles

based on Apache Sentry and Kerberos

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

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

show all

Recent citations in the news

JDBC in Java: 5 facts to know before you begin
30 May 2019, TheServerSide.com

Six free databases with commercial-quality features
3 December 2012, Network World

The Ultimate Open Source Database List Profiling 16 Software Tools
30 May 2019, Solutions Review

JDK 9 Is the End of the Road for Some Features
25 January 2017, DZone

Security Bulletin 20 Apr 2022
20 April 2022, Cyber Security Agency of Singapore

provided by Google News

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Man Busts Out of Google, Rebuilds Top-Secret Query Machine
24 October 2012, WIRED

How to add a data source to Redash
5 April 2022, TechRepublic

How to deploy the Redash data visualization dashboard with the help of Docker
23 March 2022, TechRepublic

Unravel Data Adds Native Support for Impala and Kafka
29 June 2017, insideBIGDATA

provided by Google News

Getting Started with PouchDB Client-Side JavaScript Database
7 September 2016, SitePoint

PouchDB – a CouchDB-inspired Offline Web Database
7 June 2012, InfoQ.com

Synchronizing Offline App Data with PouchDB
25 September 2015, SitePoint

provided by Google News

Job opportunities

1833 Java Developer (Onsite Position)
Infoorigin inc, Topeka, KS

1833 Java Developer (Onsite Position)
Infoorigin inc, Kansas City, MO

Software Engineer Specialist
FIS Global, Cincinnati, OH

Business Intelligence Developer - Treasury and Liquidity
Barclays, Whippany, NJ

Business Analyst
Lumen, United States

Business Analyst - US Remote
Lumen, Remote

Planning Engineer II
Lumen, Remote

Sr. Full Stack Engineer
Braid Health, Remote

jobs by

Share this page