DBMS > PouchDB vs. Vertica

System Properties Comparison PouchDB vs. Vertica

Please select another system to include it in the comparison.

Our visitors often compare PouchDB and Vertica with MongoDB, InfluxDB and Redis.

Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS with an API inspired by CouchDB

Cloud or on-premises analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.

Primary database model

Document store

Relational DBMS

Column oriented

Secondary database models

Spatial DBMS
Time Series DBMS

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

Score	3.48
Rank	#100	Overall
	#20	Document stores

Score	18.01
Rank	#38	Overall
	#23	Relational DBMS

Website

pouchdb.com

www.vertica.com

Technical documentation

pouchdb.com/guides

vertica.com/documentation

Developer

Apache Software Foundation

Micro Focus

prior to that Hewlett Packard

Initial release

2012

2005

Current release

7.1.1, June 2019

11.1, February 2022

License

Commercial or Open Source

Open Source

commercial

Limited community edition free

Cloud-based only

Only available as a cloud service

on-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Vertica Accelerator’s high-performance analytics and machine learning with SQL or Python is available as a managed service.

Implementation language

JavaScript

C++

Server operating systems

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

Linux

Data scheme

schema-free

yes, but unstructured data can be stored in specific Flex-Tables

Typing

predefined data types such as float or date

yes: BINARY, BOOLEAN, CHAR, VARCHAR, LONG VARCHAR, DATE, TIME, TIMESTAMP, INTERVAL, INTERVAL DAY TO SECOND, INTERVAL YEAR TO MONTH, DOUBLE PRECISION, FLOAT, INTEGER, BIGINT, SMALLINT,NUMERIC, DECIMAL, NUMBER, MONEY,GEOMETRY

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

No Indexes Required

SQL

Support of SQL

Full 1999 standard plus machine learning, time series and geospatial. Over 650 functions.

APIs and other access methods

HTTP REST

only for PouchDB Server
JavaScript API

ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL

character-based, interactive, front-end utility

Supported programming languages

JavaScript

C#
C++
Java
Perl
PHP
Python
R

Server-side scripts

Stored procedures

View functions in JavaScript

yes, PostgreSQL PL/pgSQL, with minor differences

Triggers

yes

yes, called Custom Alerts

Partitioning methods

Methods for storing different data on different nodes

Sharding

with a proxy-based framework, named couchdb-lounge

horizontal partitioning, hierarchical partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

also with CouchDB databases
Source-replica replication

also with CouchDB databases

Multi-source replication

One, or more copies of data replicated across nodes, or object-store used for repository.

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Bi-directional Spark integration

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

ACID

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; supports Kerberos, LDAP, Ident and hash

More information provided by the system vendor

Specific characteristics

Deploy-anywhere database for large-scale analytical deployments. Deploy on-premises,...
» more

Competitive advantages

Fast, scalable and capable of high concurrency. Separation of compute/storage leverages...
» more

Typical application scenarios

Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more

Key customers

Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more

Licensing and pricing models

Cost-based models and subscription-based models are both available. One license is...
» more

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

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

Offline-first web and mobile apps: Top frameworks and components
22 January 2019, TechBeacon

Develop Faster JS Apps: the Ultimate Guide to Web Workers ...
1 December 2022, SitePoint

Which Are the Top Local Databases for React Native
6 May 2022, Appinventiv

Logging Errors in Client-Side Applications — SitePoint
8 November 2016, SitePoint

provided by Google News

Vertica Database to Reward Open Source Developers via New ...
2 November 2022, Datanami

Five Data Analytics Trends On Tap For 2023
11 January 2023, Forbes

Cloudian Partners with Vertica to Deliver On-Premises Data ...
28 June 2022, GlobeNewswire

VAST Data teams up with Vertica to enable real-time queries at scale
19 April 2022, VentureBeat

Database Management System Market Size, Share, Growth ...
24 January 2023, Digital Journal

provided by Google News

Job opportunities

Mobile Applications Architect (IT ARCHITECT 5)
University of California, Davis, Davis, CA

Lead Technical Developer, Product
ABS Consulting, Texas

Software Test Engineer (entry-level)
Real-Time Technology Solutions, Remote

Database Administrator
Maxpro, Albany, NY

Database Administrator
Grenza, Houston, TX

Database Administrator 4
DELUXE CORPORATION, Atlanta, GA

Quality Assurance Engineer at Vertica
Micro Focus, Cambridge, MA

jobs by

Share this page